# llm_cache

draft_name: iso-np-ts-25280-2
prompt_hash: 6a3459e150a7a5c2
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:21:42.624723+00:00
response_json:
  {"name": "iso-np-ts-25280-2", "s": "Outlines principles and considerations for applying AI capabilities to records management functions, controls, processes, and systems across all organization types.", "n": 3, "nn": "Moderately novel; focuses on AI-as-tool for records rather than records-of-AI; complements Part 1", "m": 2, "mn": "Early NP stage with principles-level content; application-specific but not detailed implementation", "o": 2, "on": "Low overlap; distinct from Part 1; narrow focus on records automation reduces overlap with broader AI standards", "mo": 2, "mon": "Early stage; records automation is mature domain, AI application is incremental advancement", "r": 2, "rn": "Limited relevance outside records/information management domain; niche application focus", "c": ["Policy/governance", "Data formats/interop", "Other AI/agent"]}


draft_name: iso-awi-26253
prompt_hash: 29dfaa0288ad92cc
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:22:01.777579+00:00
response_json:
  {"name": "iso-awi-26253", "s": "Guidelines for implementing centralized control systems for autonomous mobile robots managing pharmaceutical logistics in hospitals. Covers safe operation, real-time monitoring, communication, scheduling, and record-keeping for AMR-based internal hospital logistics.", "n": 3, "nn": "Specialized application domain (hospital pharma logistics) with established AMR technology; moderate novelty in standardizing hospital-specific CCS requirements", "m": 4, "mn": "Well-defined problem space with mature robotics foundations; practical operational focus suggests implementation-ready guidance", "o": 2, "on": "Minimal overlap with other AI/agent standards; niche healthcare robotics focus distinct from broader AI governance and NLP work", "mo": 3, "mon": "Healthcare automation is active area; pharmaceutical supply chain efficiency has ongoing industry momentum", "r": 4, "rn": "High relevance for healthcare organizations and medical device manufacturers; addresses critical operational safety and logistics coordination", "c": ["Autonomous netops", "ML traffic mgmt", "Agent identity/auth", "Policy/governance", "Human-agent interaction"]}


draft_name: iso-iec-22989-2022-awi-amd-2
prompt_hash: eb273154dbc98166
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:22:01.799038+00:00
response_json:
  {"name": "iso-iec-22989-2022-awi-amd-2", "s": "Amendment 2 to ISO/IEC 22989:2022 updating AI concepts and terminology standards. Incremental refinement of existing AI vocabulary and definitions framework.", "n": 1, "nn": "Maintenance amendment to established standard; minimal substantive novelty expected in terminology updates", "m": 5, "mn": "Mature foundational standard with established terminology; amendment represents evolution of stable reference material", "o": 4, "on": "Heavy conceptual overlap with companion ISO/IEC 23053 amendment and other AI/ML standards relying on shared terminology", "mo": 2, "mon": "Routine standards maintenance; incremental updates typically lower industry momentum than new frameworks", "r": 4, "rn": "High relevance as foundational reference for AI terminology across all sectors and standards development", "c": ["Data formats/interop", "Policy/governance", "Other AI/agent"]}


draft_name: iso-iec-23053-2022-awi-amd-2
prompt_hash: 71189c7395d07c98
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:22:01.807585+00:00
response_json:
  {"name": "iso-iec-23053-2022-awi-amd-2", "s": "Amendment 2 to ISO/IEC 23053:2022 updating the AI/ML systems framework. Incremental refinement to existing framework for AI systems using machine learning approaches.", "n": 1, "nn": "Maintenance amendment to established ML systems framework; limited novelty in framework evolution", "m": 5, "mn": "Mature framework standard with established guidance; amendment represents incremental maturation", "o": 4, "on": "Significant overlap with companion ISO/IEC 22989 amendment and broad alignment with other ISO/IEC AI standards", "mo": 2, "mon": "Standards maintenance activity; routine updates show stable but not accelerating momentum", "r": 4, "rn": "High relevance as core reference framework for ML systems implementation across organizations and sectors", "c": ["Model serving/inference", "Policy/governance", "Data formats/interop", "Other AI/agent"]}


draft_name: iso-iec-np-ts-26312
prompt_hash: f9e2e32ef0abd52c
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:22:01.816713+00:00
response_json:
  {"name": "iso-iec-np-ts-26312", "s": "Technical specification for healthcare organizations to identify and mitigate bias in AI systems across procurement, implementation, and monitoring phases. Addresses algorithmic, data, labeling, and deployment-related bias affecting patient and clinician-facing applications.", "n": 4, "nn": "Novel focus on healthcare-specific bias detection and mitigation; comprehensive lifecycle perspective on bias sources is relatively fresh for domain standards", "m": 3, "mn": "Emerging practice area with developing methodologies; practical guidance framework is maturing but implementation approaches still evolving", "o": 2, "on": "Unique intersection of AI bias, healthcare governance, and fairness; limited direct overlap with other standards except general AI safety principles", "mo": 5, "mon": "Bias in healthcare AI is high-momentum topic; regulatory pressure and equity concerns driving strong standards development interest", "r": 5, "rn": "Critical relevance for healthcare organizations deploying AI; addresses ethical, legal, and patient safety imperatives", "c": ["AI safety/alignment", "Policy/governance", "Human-agent interaction", "Other AI/agent"]}


draft_name: iso-iec-np-ts-26320.2
prompt_hash: 29044cd022a8003e
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:22:01.825612+00:00
response_json:
  {"name": "iso-iec-np-ts-26320.2", "s": "Establishes principles, frameworks, and methods for developing and maintaining corpora for natural language processing systems. Includes corpus construction requirements, application guidance, and quality evaluation measures applicable across AI system lifecycles.", "n": 3, "nn": "Systematic approach to corpus development governance; standards for NLP data quality are valuable but building on established ML data practices", "m": 3, "mn": "Corpus linguistics and ML data engineering are mature; standardizing corpus practices is advancing implementation maturity", "o": 2, "on": "Focused on NLP-specific data requirements; some overlap with general data governance but distinct from broader AI/ML standards", "mo": 4, "mon": "NLP and large language models drive sustained momentum; data quality for LLMs is active standardization priority", "r": 4, "rn": "High relevance for organizations developing or deploying NLP systems; foundational for reproducible and fair language AI", "c": ["Data formats/interop", "Model serving/inference", "Policy/governance", "Other AI/agent"]}


draft_name: iso-cd-19178-2
prompt_hash: 93f0d9d120410e11
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:22:12.622415+00:00
response_json:
  {"name": "iso-cd-19178-2", "s": "Specifies JSON encoding for training data markup language in AI systems. Part of a multi-part ISO standard defining standardized formats for AI training data representation.", "n": 3, "nn": "Incremental standardization work; JSON encoding is a common approach but application to AI training data markup is moderately novel", "m": 4, "mn": "Committee draft stage indicates mature development; JSON is well-established technology applied to defined domain", "o": 2, "on": "Minimal overlap with other drafts; Part 3 covers XML variant but both are encoding-specific rather than functional", "mo": 3, "mon": "Part of established ISO/TC 211 standards program; committee draft status suggests steady progress", "r": 3, "rn": "Relevant for data interoperability in AI systems; practical value depends on adoption of parent standard", "c": ["Data formats/interop"]}


draft_name: iso-cd-19178-3
prompt_hash: bcca56914f3311b5
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:22:12.644708+00:00
response_json:
  {"name": "iso-cd-19178-3", "s": "Specifies XML encoding for training data markup language in AI systems. Part 3 of ISO/IEC 19178 standard for AI training data representation.", "n": 3, "nn": "Parallel to Part 2; XML encoding is traditional approach with moderate novelty in AI training data context", "m": 4, "mn": "Committee draft stage; XML is mature technology; development appears orderly within standards process", "o": 2, "on": "Functionally identical to Part 2 except for encoding format; minimal unique overlap with other drafts", "mo": 3, "mon": "Part of coordinated multi-part standard series; steady committee-level progress", "r": 3, "rn": "Relevant for standardized AI training data interchange; XML variant provides alternative to JSON encoding", "c": ["Data formats/interop"]}


draft_name: iso-iec-np-26582
prompt_hash: 74b796ae1269aa0b
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:22:12.654658+00:00
response_json:
  {"name": "iso-iec-np-26582", "s": "Defines conformity assessment requirements for functional correctness of AI systems based on ISO/IEC 25059 quality models. Applicable to all AI system types.", "n": 4, "nn": "Novel approach to standardized AI correctness assessment; builds on quality model foundation with systematic conformity framework", "m": 2, "mn": "New proposal stage indicates early development; references existing quality standard but conformity assessment methodology still emerging", "o": 1, "on": "Unique focus on functional correctness assessment; no significant overlap with other drafts in this set", "mo": 2, "mon": "New proposal indicates emerging consensus around need; but limited visibility into development momentum", "r": 4, "rn": "Highly relevant for AI safety and governance; addresses critical need for standardized correctness evaluation across AI systems", "c": ["AI safety/alignment", "Policy/governance"]}


draft_name: iso-np-26604-1
prompt_hash: 8733e570ed46caed
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:22:12.665577+00:00
response_json:
  {"name": "iso-np-26604-1", "s": "Specifies safety requirements and verification methods for autonomous agricultural machinery including soil-working operations. Covers design, construction, and safe use guidance.", "n": 3, "nn": "Applies established machinery safety standards to autonomous agriculture; domain-specific but follows conventional safety framework", "m": 2, "mn": "New proposal stage; addresses practical safety gaps in autonomous farm equipment but methodology builds on existing machine safety standards", "o": 1, "on": "Highly specialized to agricultural autonomous machinery; minimal overlap with other AI/agent standards in this set", "mo": 2, "mon": "Emerging need driven by autonomous agricultural equipment development; early proposal stage", "r": 2, "rn": "Relevant primarily for agricultural sector; limited broader applicability to general AI/agent systems", "c": ["Autonomous netops", "AI safety/alignment", "Policy/governance"]}


draft_name: iso-np-26609
prompt_hash: 2fd4b969e11dd354
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:22:12.675388+00:00
response_json:
  {"name": "iso-np-26609", "s": "Sets requirements for assessing AI and Augmented Intelligence systems used with 2D dental radiographs. Domain-specific medical AI application standard.", "n": 2, "nn": "Narrow specialization to dental radiography AI; assessment framework is incremental application of general AI principles to defined domain", "m": 2, "mn": "New proposal; addresses specific healthcare use case but assessment methodology not substantially novel", "o": 1, "on": "Highly specialized to dental imaging; no overlap with other standards in this collection", "mo": 2, "mon": "Emerging need in medical AI regulation but early proposal stage indicates nascent momentum", "r": 2, "rn": "Relevant for dental/medical sector; limited applicability to broader AI/agent systems and standards", "c": ["AI safety/alignment", "Policy/governance"]}


draft_name: iso-np-pas-8800-1
prompt_hash: e6b7b6a4e5d7d35e
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:22:23.481213+00:00
response_json:
  {"name": "iso-np-pas-8800-1", "s": "ISO standard defining key terminology and concepts for safety and AI in road vehicles. Part 1 of a multi-part standard establishing foundational definitions for the field.", "n": 2, "nn": "Definitions and concepts are prerequisite but not novel contributions; primarily normative clarification.", "m": 2, "mn": "Early-stage standard (NP/PAS status) with abstract only; foundational but incomplete specification.", "o": 3, "on": "Moderate overlap with ISO 26262 and ISO 21448 safety frameworks; aligns with NIST AI RMF conceptual scope.", "mo": 2, "mon": "Emerging standard with limited adoption signals; part of active standards development but early maturity.", "r": 4, "rn": "Highly relevant for road vehicle safety governance and regulatory compliance frameworks.", "c": ["Policy/governance", "AI safety/alignment", "Other AI/agent"]}


draft_name: iso-np-pas-8800-2
prompt_hash: 6b7b674db02f8908
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:22:23.501206+00:00
response_json:
  {"name": "iso-np-pas-8800-2", "s": "ISO standard specifying general safety requirements for AI-equipped electrical/electronic systems in production road vehicles. Addresses systematic errors, random hardware failures, and external AI element interactions.", "n": 3, "nn": "Applies established safety methodologies to AI systems; novel integration of AI-specific failure modes with vehicle E/E safety architecture.", "m": 2, "mn": "Incomplete abstract; still in NP/PAS development phase without finalized technical requirements.", "o": 4, "on": "Significant overlap with NIST AI 100-1 risk management framework and ISO 26262 functional safety principles.", "mo": 2, "mon": "Part of emerging standards initiative; unclear adoption trajectory in automotive industry.", "r": 5, "rn": "Critical for automotive safety assurance and regulatory compliance in AI-enabled vehicles.", "c": ["AI safety/alignment", "Policy/governance", "Model serving/inference"]}


draft_name: nist-ai-100-1
prompt_hash: f4728a8a94c44b1b
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:22:23.509932+00:00
response_json:
  {"name": "nist-ai-100-1", "s": "Comprehensive framework for managing AI system risks across full lifecycle, covering trustworthiness dimensions including safety, security, fairness, transparency, and accountability. Published January 2023.", "n": 4, "nn": "Novel integrated approach combining multiple trustworthiness dimensions; establishes new governance paradigm for AI risk management.", "m": 4, "mn": "Mature, published standard with clear structure and broad industry adoption; established reference framework.", "o": 2, "on": "Foundational framework with minimal overlap; complementary to domain-specific standards rather than duplicative.", "mo": 4, "mon": "Strong momentum with widespread adoption across government and private sectors; cited in policy discussions.", "r": 5, "rn": "Essential reference framework for AI governance, risk management, and policy development across all sectors.", "c": ["Policy/governance", "AI safety/alignment", "Human-agent interaction"]}


draft_name: nist-ai-100-2-e2025
prompt_hash: 1169405cef827815
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:22:23.519388+00:00
response_json:
  {"name": "nist-ai-100-2-e2025", "s": "Taxonomy and terminology for adversarial machine learning attacks and mitigations covering evasion, poisoning, and privacy attacks against predictive and generative AI systems. Published March 2025.", "n": 4, "nn": "Comprehensive adversarial ML taxonomy is novel contribution; particularly detailed for LLM attack vectors.", "m": 5, "mn": "Recent publication (2025) with mature framework; builds on established adversarial ML research with industry validation.", "o": 1, "on": "Highly specialized focus with minimal overlap to other frameworks; unique in adversarial ML depth.", "mo": 5, "mon": "Very recent release indicates active development; strong relevance to current AI security concerns.", "r": 4, "rn": "Highly relevant for AI safety, security, and robustness requirements; critical for LLM risk management.", "c": ["AI safety/alignment", "Data formats/interop", "Model serving/inference"]}


draft_name: nist-ai-100-4
prompt_hash: 1a9d1879ac6559b1
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:22:23.528192+00:00
response_json:
  {"name": "nist-ai-100-4", "s": "Guidance on managing risks from synthetic content generated by AI through authentication, provenance tracking, and content labeling mechanisms. Published July 2024.", "n": 3, "nn": "Addresses emerging synthetic content risks; practical mitigation approaches are timely but build on existing verification techniques.", "m": 4, "mn": "Published guidance document with practical applicability; established mitigation strategies presented in structured format.", "o": 2, "on": "Complementary to NIST AI 100-1; focused on specific synthetic content risks with limited overlap to other frameworks.", "mo": 4, "mon": "Recent (2024) publication addressing urgent policy concern; growing industry interest in synthetic content verification.", "r": 4, "rn": "Increasingly relevant for content authenticity, misinformation prevention, and AI transparency requirements.", "c": ["Policy/governance", "Data formats/interop", "AI safety/alignment"]}


draft_name: nist-ai-600-1
prompt_hash: 5dc27917be196be3
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:22:32.999686+00:00
response_json:
  {"name": "nist-ai-600-1", "s": "Companion resource to NIST AI RMF that specifically addresses risks unique to or exacerbated by generative AI systems, including hallucinations, data privacy, intellectual property, and CBRN information risks. Provides practical guidance for organizations managing generative AI deployments.", "n": 3, "nn": "Extends existing NIST AI RMF with generative AI specifics; moderate novelty as it adapts established frameworks", "m": 5, "mn": "Official NIST publication with high maturity and credibility", "o": 4, "on": "Significant overlap with NIST AI RMF base framework and general AI risk management guidance", "mo": 4, "mon": "Recent publication (2024) indicates active momentum in NIST's AI governance work", "r": 5, "rn": "Highly relevant for AI governance, risk management, and compliance frameworks", "c": ["Policy/governance", "AI safety/alignment", "Other AI/agent"]}


draft_name: nist-sp-800-218a
prompt_hash: 7eb00d80e3226172
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:22:33.019753+00:00
response_json:
  {"name": "nist-sp-800-218a", "s": "Community profile providing secure software development practices tailored to generative AI and dual-use foundation models, addressing data management, model training, and deployment security. Builds on NIST SSDF practices for AI-specific contexts.", "n": 3, "nn": "Adapts established SSDF practices to AI context; incremental novelty", "m": 4, "mn": "High maturity as official NIST special publication with security focus", "o": 4, "on": "Overlaps with NIST SP 800-218 base framework and general secure development practices", "mo": 4, "mon": "Recent 2024 publication shows sustained focus on AI security development", "r": 4, "rn": "Relevant for secure AI/ML development practices and supply chain security", "c": ["Policy/governance", "Model serving/inference", "Other AI/agent"]}


draft_name: nist-ir-8596
prompt_hash: a8b5fbb80611b14f
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:22:33.029698+00:00
response_json:
  {"name": "nist-ir-8596", "s": "Community profile that maps NIST Cybersecurity Framework functions to AI-specific risks and controls, enabling organizations to manage cybersecurity risks in AI systems. Bridges existing CSF with AI risk landscape.", "n": 3, "nn": "Applies existing CSF to AI domain; moderate novelty in mapping and adaptation", "m": 4, "mn": "High maturity as NIST internal report with clear framework alignment", "o": 3, "on": "Moderate overlap with NIST CSF and other AI risk management frameworks, relatively distinct focus", "mo": 5, "mon": "Future-dated publication (2025) indicates planned momentum in CSF-AI integration", "r": 5, "rn": "Highly relevant for cybersecurity and AI risk management integration", "c": ["Policy/governance", "AI safety/alignment"]}


draft_name: nist-cswp-31
prompt_hash: 25ec9973684b2ce4
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:22:33.038608+00:00
response_json:
  {"name": "nist-cswp-31", "s": "Describes a proxy design process for validation and verification of critical AI systems, addressing the challenge of testing complex and opaque AI systems. Provides practical methodologies for V&V in production AI environments.", "n": 4, "nn": "Addresses specific technical challenge of AI V&V with proxy-based approach; relatively novel", "m": 3, "mn": "Moderate maturity; technical guidance on emerging challenge with evolving best practices", "o": 2, "on": "Relatively unique focus on proxy validation/verification for AI systems", "mo": 3, "mon": "September 2024 publication shows emerging focus on this specific technical challenge", "r": 4, "rn": "Relevant for AI system testing, validation, and critical system assurance", "c": ["AI safety/alignment", "Model serving/inference", "Other AI/agent"]}


draft_name: nist-ir-8579
prompt_hash: b2f439da02d4ade3
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:22:33.046596+00:00
response_json:
  {"name": "nist-ir-8579", "s": "Documents technical and security lessons learned from implementing an LLM-based chatbot at NCCOE, including prompt injection mitigations and practical security considerations. Provides real-world insights from production LLM deployment.", "n": 4, "nn": "Case study approach with practical learnings from actual LLM deployment; good novelty in applied context", "m": 4, "mn": "High maturity based on real implementation experience with concrete security findings", "o": 2, "on": "Relatively unique as implementation case study; limited direct overlap with framework documents", "mo": 4, "mon": "Future-dated (2025) indicates ongoing NCCOE LLM security work", "r": 4, "rn": "Relevant for LLM deployment security, prompt injection mitigation, and practical security guidance", "c": ["AI safety/alignment", "Human-agent interaction", "Model serving/inference"]}


draft_name: nist-nist-ai-agent-iam
prompt_hash: f43f76981262845b
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:22:40.482218+00:00
response_json:
  {"name": "nist-nist-ai-agent-iam", "s": "Concept paper addressing identity and authorization mechanisms for software and AI agents, focusing on authentication, authorization, and accountability in automated systems. Establishes foundational guidance for agent identity management and access control.", "n": 4, "nn": "Highly novel in applying IAM principles specifically to AI agents; addresses emerging need as agents become more autonomous and interconnected.", "m": 2, "mn": "Early-stage concept paper (2026 date suggests forward-looking); limited practical implementations or matured standards yet available.", "o": 2, "on": "Minimal overlap with measurement/evaluation or RMF governance frameworks; focuses on distinct IAM domain.", "mo": 4, "mon": "Strong momentum indicated by NIST initiative and 2026 publication date; reflects industry shift toward agentic AI systems.", "r": 5, "rn": "Critical relevance for multi-agent systems, API security, and autonomous operations; directly addresses authentication/authorization gaps.", "c": ["Agent identity/auth", "Policy/governance", "Autonomous netops", "A2A protocols"]}


draft_name: nist-ai-100-6
prompt_hash: eb213ed9983e546d
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:22:40.494023+00:00
response_json:
  {"name": "nist-ai-100-6", "s": "Guidance document on measurement and evaluation methodologies for assessing AI system trustworthiness across accuracy, fairness, robustness, and security dimensions. Provides structured approaches for AI system assessment.", "n": 3, "nn": "Builds on established evaluation frameworks but applies them comprehensively to trustworthiness; moderate novelty in integration of multiple quality dimensions.", "m": 4, "mn": "Mature guidance from established NIST AI RMF series (2024); based on consolidated industry practices and research.", "o": 3, "on": "Moderate overlap with RMF Playbook governance structures; complements rather than duplicates measurement guidance.", "mo": 4, "mon": "Solid momentum as part of active NIST AI 100 series; builds on established AI RMF adoption.", "r": 4, "rn": "Highly relevant for AI system validation, compliance, and risk management; applicable across diverse AI deployments.", "c": ["Policy/governance", "AI safety/alignment", "Model serving/inference", "Data formats/interop"]}


draft_name: nist-ai-100-1-playbook
prompt_hash: 62b852a838c2e0cc
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:22:40.501905+00:00
response_json:
  {"name": "nist-ai-100-1-playbook", "s": "Practical playbook companion to the NIST AI RMF providing actionable steps and suggested approaches for implementing governance, mapping, measurement, and management functions. Operationalizes the AI RMF framework.", "n": 2, "nn": "Limited novelty as implementation guide; primarily translates existing RMF concepts into practice rather than introducing new principles.", "m": 5, "mn": "Highly mature guidance from 2023; directly derived from established NIST AI RMF standard with proven adoption.", "o": 4, "on": "Significant overlap with AI 100-6 on measurement and governance; complementary rather than independent coverage.", "mo": 5, "mon": "Very strong momentum as foundational implementation guide; widely referenced in AI governance initiatives.", "r": 5, "rn": "Essential relevance for organizations implementing AI risk management; provides bridge between framework and operational practice.", "c": ["Policy/governance", "AI safety/alignment", "Autonomous netops", "Model serving/inference"]}


draft_name: draft-chen-secure-routing-use-cases
prompt_hash: 0f318b1c5844fe22
model: claude-haiku-4-5-20251001
request_json: batch-ideas[draft-chen-secure-routing-use-cases]
created_at: 2026-03-08T17:26:27.908774+00:00
response_json:
  [{"title": "Security-Aware Routing Mechanism", "description": "Routing decisions incorporate security and trustworthiness assessments of links and forwarding nodes alongside traditional path metrics.", "type": "mechanism"}]


draft_name: draft-li-rtgwg-distributed-lossless-framework
prompt_hash: 32759a686ce1c778
model: claude-haiku-4-5-20251001
request_json: batch-ideas[draft-li-rtgwg-distributed-lossless-framework]
created_at: 2026-03-08T17:26:27.926443+00:00
response_json:
  [{"title": "Distributed AIDC Network Framework", "description": "A framework for lossless interconnection and reliable data transmission across multiple geographically distributed data centers to support large-scale distributed model training.", "type": "architecture"}]


draft_name: draft-sandowicz-httpbis-httpa2
prompt_hash: c2f5b3722f0ce4fa
model: claude-haiku-4-5-20251001
request_json: batch-ideas[draft-sandowicz-httpbis-httpa2]
created_at: 2026-03-08T17:26:27.933652+00:00
response_json:
  [{"title": "HTTP Attestable Version 2 Protocol", "description": "An HTTP extension enabling trusted communication through Trusted Execution Environment attestation without requiring TLS, treating TEEs as requestable Internet resources.", "type": "protocol"}]


draft_name: draft-toorop-dnsop-ranking-dns-data
prompt_hash: 8f94f54399de31f2
model: claude-haiku-4-5-20251001
request_json: batch-ideas[draft-toorop-dnsop-ranking-dns-data]
created_at: 2026-03-08T17:26:27.940575+00:00
response_json:
  [{"title": "Extended DNS Data Trustworthiness Ranking", "description": "An extended ranking system for DNS data trustworthiness that includes root server names/addresses and DNSSEC-verifiable data with assigned numerical values for comparison.", "type": "requirement"}]


draft_name: draft-voit-rats-trustworthy-path-routing
prompt_hash: 6de7f0960c76cefd
model: claude-haiku-4-5-20251001
request_json: batch-ideas[draft-voit-rats-trustworthy-path-routing]
created_at: 2026-03-08T17:26:27.947547+00:00
response_json:
  [{"title": "Trusted Path Routing", "description": "A routing mechanism that forwards sensitive traffic exclusively through network devices that have been recently appraised and verified for trustworthiness.", "type": "mechanism"}]


draft_name: etsi-en-304-223
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created_at: 2026-03-08T17:26:30.570586+00:00
response_json:
  [{"title": "Baseline Cyber Security Requirements for AI", "description": "Establishes minimum security requirements and controls for AI model and system development, deployment, and operation.", "type": "requirement"}]


draft_name: etsi-gr-eni-007
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response_json:
  [{"title": "AI Application Categories for Networks", "description": "Defines a taxonomy of categories for classifying how AI can be applied to network management and operations.", "type": "architecture"}]


draft_name: etsi-gr-sai-001
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  [{"title": "AI Threat Ontology", "description": "Provides a structured taxonomy of threats, vulnerabilities, and attack vectors specific to AI systems.", "type": "architecture"}]


draft_name: etsi-gr-sai-002
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  [{"title": "Data Supply Chain Security", "description": "Defines security requirements and controls for managing data provenance, integrity, and integrity throughout the AI data supply chain.", "type": "requirement"}]


draft_name: etsi-gr-sai-003
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  [{"title": "Security Testing Methodology for AI", "description": "Establishes testing approaches, methodologies, and criteria for evaluating the security properties and robustness of AI systems.", "type": "protocol"}]


draft_name: etsi-gr-sai-004
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draft_name: etsi-gr-sai-005
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draft_name: etsi-gr-sai-006
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draft_name: etsi-gs-eni-001
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draft_name: etsi-gs-eni-002
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draft_name: etsi-gs-eni-005
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  [{"title": "ENI System Architecture Framework", "description": "Defines the overall system architecture for Ericsson Network Intelligence with component interactions and data flows.", "type": "architecture"}]


draft_name: etsi-gs-eni-019
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draft_name: iec-np-ts-62366-3
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draft_name: iso-12813-2015
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draft_name: iso-12813-2019
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draft_name: iso-12813-2024
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draft_name: iso-13141-2015
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draft_name: iso-13141-2024
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  [{"title": "Localization Augmentation Communication Protocol", "description": "Short-range communication protocol between on-board equipment and roadside equipment to augment vehicle localization and charge object identification in autonomous electronic fee collection systems.", "type": "protocol"}, {"title": "RSE Manipulation Protection Mechanism", "description": "Security mechanism to protect on-board equipment from false or manipulated location and heading information transmitted by roadside equipment.", "type": "mechanism"}]


draft_name: iso-16363-2012
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draft_name: iso-16363-2025
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draft_name: iso-16919-2014
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  [{"title": "Digital Repository Certification Body Requirements", "description": "Requirements and operational framework for organizations performing audit and certification of digital repositories using ISO 16363 metrics and assessment procedures.", "type": "requirement"}]


draft_name: iso-16919-2025
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draft_name: iso-17575-1-2016
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draft_name: iso-17575-2-2016
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draft_name: iso-17575-3-2016
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draft_name: iso-17757-2017
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draft_name: iso-18374-2025
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draft_name: iso-18497-1-2024
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draft_name: iso-18497-2-2024
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draft_name: iso-18497-3-2024
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draft_name: iso-18497-4-2024
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draft_name: iso-18829-2017
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draft_name: iso-19178-1-2025
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draft_name: iso-20682-2026
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draft_name: iso-22133-2026
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draft_name: iso-22373-2025
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draft_name: iso-22733-1-2021
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draft_name: iso-22733-2-2023
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draft_name: iso-23725-2024
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draft_name: iso-24801-2-2014
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draft_name: iso-37168-2022
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draft_name: iso-37181-2022
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draft_name: iso-39003-2023
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draft_name: iso-awi-18460
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draft_name: iso-awi-25922
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draft_name: iso-awi-25934
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draft_name: iso-awi-26253
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draft_name: iso-awi-29999
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draft_name: iso-awi-tr-25896
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draft_name: iso-awi-tr-3510
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draft_name: iso-iec-pwi-20822
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draft_name: iso-iec-pwi-26200
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draft_name: iso-iec-pwi-5096
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draft_name: iso-iec-pwi-5957
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draft_name: iso-iec-pwi-7699
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draft_name: iso-iec-pwi-9991
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draft_name: iso-iec-tr-17903-2024
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draft_name: iso-iec-tr-20547-1-2020
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draft_name: iso-iec-tr-20547-2-2018
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draft_name: iso-iec-tr-20547-5-2018
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draft_name: iso-iec-tr-24027-2021
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draft_name: iso-iec-tr-24028-2020
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draft_name: iso-iec-tr-24029-1-2021
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draft_name: iso-iec-tr-24372-2021
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draft_name: iso-iec-tr-27563-2023
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draft_name: iso-iec-tr-5259-6
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draft_name: iso-iec-ts-12791-2024
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draft_name: iso-iec-ts-23220-6-2025
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draft_name: iso-iec-ts-30149-2024
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draft_name: iso-iec-ts-42119-2-2025
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draft_name: iso-iec-ts-4213-2022
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draft_name: iso-iec-ts-5723-2022
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draft_name: iso-iec-ts-6254-2025
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draft_name: iso-iec-ts-8200-2024
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draft_name: iso-iec-wd-ts-22440
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draft_name: iso-np-pas-8800-2
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draft_name: iso-np-ts-18759
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draft_name: iso-np-ts-25280-1
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draft_name: iso-pwi-ts-21947
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draft_name: iso-tr-15801-2004
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  [{"title": "Electronic Document Lifecycle Management System", "description": "Framework for implementing trustworthy and reliable information management systems covering the complete lifecycle from capture to destruction of electronically stored documents.", "type": "architecture"}, {"title": "Multi-Technology Electronic Storage Support", "description": "Approach to support multiple storage technologies including WORM and rewritable media within unified trustworthiness framework.", "type": "architecture"}]


draft_name: iso-tr-15801-2009
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  [{"title": "Document Management System Trustworthiness Requirements", "description": "Set of policies, procedures, technology and audit requirements to ensure integrity of electronically stored information is maintained over time.", "type": "requirement"}]


draft_name: iso-tr-15801-2017
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  [{"title": "Multi-Format Electronically Stored Information Trustworthiness", "description": "Framework for managing trustworthiness and reliability of diverse ESI types including page-based documents, databases, and audio/video information.", "type": "architecture"}]


draft_name: iso-tr-22100-5-2021
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  [{"title": "AI/ML Hazard Integration in Machinery Risk Assessment", "description": "Process for incorporating artificial intelligence and machine learning hazards into the machinery safety risk assessment methodology.", "type": "pattern"}, {"title": "AI/ML Applicability Boundary for Machinery Safety", "description": "Specification that the framework applies only to AI/ML systems designed to act within specified limits, excluding systems with unpredictable effects.", "type": "requirement"}]


draft_name: iso-tr-24291-2021
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  [{"title": "ML Application Categories in Clinical Medicine", "description": "Defines taxonomy of machine learning use cases in clinical practice across medical specialties including radiology, pathology, emergency medicine, and clinical settings such as detection, diagnosis, monitoring, and treatment prediction.", "type": "pattern"}, {"title": "Clinical AI Requirements and Necessities", "description": "Establishes requirements and necessities for artificial intelligence deployment in medical applications across different clinical contexts.", "type": "requirement"}]


draft_name: iso-tr-9241-810-2020
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  [{"title": "RIA System Ergonomics Classification", "description": "Defines ergonomic interaction patterns for four categories of robotic, intelligent, and autonomous systems: physically embodied systems, environment-embedded systems, interactive software tools, and autonomous software agents.", "type": "pattern"}]


draft_name: iso-ts-12813-2009
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  [{"title": "Compliance Check Communication Protocol for EFC", "description": "Specifies short-range communication protocol between vehicle on-board equipment and road-side interrogators to verify correct toll data reporting in autonomous electronic fee collection systems.", "type": "protocol"}]


draft_name: iso-ts-13141-2010
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draft_name: iso-ts-17575-1-2010
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draft_name: iso-ts-17575-2-2010
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draft_name: iso-ts-17575-3-2011
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draft_name: iso-ts-17575-4-2011
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draft_name: iso-ts-18759-2022
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draft_name: iso-ts-22133-2023
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draft_name: iso-ts-42501-2022
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draft_name: itu-t-fg-ai4h-del01
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  [{"title": "AI Health Ethics and Governance Framework", "description": "Comprehensive governance structure addressing ethical principles, accountability mechanisms, and oversight requirements for AI applications in healthcare.", "type": "architecture"}]


draft_name: itu-t-fg-ai4h-del02
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  [{"title": "Health Data Handling Requirements", "description": "Specification of data collection, storage, processing, and sharing protocols for health data used in AI systems with privacy and security controls.", "type": "protocol"}]


draft_name: itu-t-fg-ai4h-del7-2
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draft_name: itu-t-x-1381
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draft_name: itu-t-x-1382
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draft_name: itu-t-x-1383
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draft_name: itu-t-x-1384
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draft_name: itu-t-y-3172
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draft_name: itu-t-y-3173
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draft_name: itu-t-y-3174
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draft_name: itu-t-y-3176
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draft_name: itu-t-y-3177
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draft_name: itu-t-y-3178
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draft_name: itu-t-y-3179
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draft_name: itu-t-y-3180
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draft_name: itu-t-y-3181
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draft_name: itu-t-y-3530
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draft_name: itu-t-y-3531
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draft_name: itu-t-y-4464
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draft_name: itu-t-y-4907
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draft_name: nist-ai-100-1
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draft_name: nist-ai-100-1-playbook
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draft_name: nist-ai-100-2-e2025
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draft_name: nist-ai-100-4
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draft_name: nist-ai-100-6
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draft_name: nist-ai-600-1
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draft_name: draft-li-rtgwg-distributed-lossless-framework
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draft_name: draft-voit-rats-trustworthy-path-routing
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draft_name: draft-toorop-dnsop-ranking-dns-data
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draft_name: draft-sandowicz-httpbis-httpa2
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draft_name: draft-ahc-green-smartpdu-yang
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  Extract discrete technical ideas and mechanisms from this IETF draft.
  Return a JSON array. Each element: {"title":"short name","description":"1-2 sentences","type":"mechanism|protocol|pattern|requirement|architecture|extension"}

  draft-ahc-green-smartpdu-yang | A YANG Model for SmartPDU Monitoring and Control | 8pg
  Abstract: This document defines a YANG data model for Smart Power Distribution
     Units (SmartPDUs).  SmartPDUs extend traditional PDUs by
     incorporating telemetry and remote control functions that enable
     detailed monitoring and management of energy consumption.  Current
     SmartPDU solutions are largely proprietary, exposing heterogeneous
     APIs and data formats that complicate integration and automation.
     The proposed YANG model provides a vendor-neutral framework for
     configuration, monitoring, and control of intelligent power
     distribution systems.

     An initial version of the proposed YANG data model has been developed
     during the GREEN Framework and Use Cases project at the Hackathon
     performed during IETF 123 (July 2025).





  GREEN                                                          O. Abboud
  Internet-Draft                                                 A. Hecker
  Intended status: Informational                       Huawei Technologies
  Expires: 23 April 2026                                   L. M. Contreras
                                                                Telefonica
                                                           20 October 2025


              A YANG Model for SmartPDU Monitoring and Control
                      draft-ahc-green-smartpdu-yang-00

  Abstract

     This document defines a YANG data model for Smart Power Distribution
     Units (SmartPDUs).  SmartPDUs extend traditional PDUs by
     incorporating telemetry and remote control functions that enable
     detailed monitoring and management of energy consumption.  Current
     SmartPDU solutions are largely proprietary, exposing heterogeneous
     APIs and data formats that complicate integration and automation.
     The proposed YANG model provides a vendor-neutral framework for
     configuration, monitoring, and control of intelligent power
     distribution systems.

     An initial version of the proposed YANG data model has been developed
     during the GREEN Framework and Use Cases project at the Hackathon
     performed during IETF 123 (July 2025).

  Status of This Memo

     This Internet-Draft is submitted in full conformance with the
     provisions of BCP 78 and BCP 79.

     Internet-Drafts are working documents of the Internet Engineering
     Task Force (IETF).  Note that other groups may also distribute
     working documents as Internet-Drafts.  The list of current Internet-
     Drafts is at https://datatracker.ietf.org/drafts/current/.

     Internet-Drafts are draft documents valid for a maximum of six months
     and may be updated, replaced, or obsoleted by other documents at any
     time.  It is inappropriate to use Internet-Drafts as reference
     material or to cite them other than as "work in progress."

     This Internet-Draft will expire on 23 April 2026.

  Copyright Notice

     Copyright (c) 2025 IETF Trust and the persons identified as the
     document authors.  All rights reserved.



  Abboud, et al.            Expires 23 April 2026                 [Page 1]


  Internet-Draft                SmartPDU YANG                 October 2025


     This document is subject to BCP 78 and the IETF Trust's Legal
     Provisions Relating to IETF Documents (https://trustee.ietf.org/
     license-info) in effect on the date of publication of this document.
     Please review these documents carefully, as they describe your rights
     and restrictions with respect to this document.  Code Components
     extracted from this document must include Revised BSD License text as
     described in Section 4.e of the Trust Legal Provisions and are
     provided without warranty as described in the Revised BSD License.

  Table of Contents

     1.  Introduction  . . . . . . . . . . . . . . . . . . . . . . . .   2
     2.  Use Cases . . . . . . . 

  Return 1-4 ideas. Extract only TOP-LEVEL novel contributions. Do NOT list sub-features, optimizations, variants, or extensions as separate ideas. If a draft defines one protocol with multiple features, that is ONE idea, not several. Each idea must be independently novel — could it be its own draft? If not, merge it with the parent idea. Only include CONCRETE, NOVEL technical contributions — not restatements of the abstract or general goals. If the draft has no substantive technical ideas (e.g. it is a problem statement, administrative document, or off-topic), return an empty array [].
  JSON array only, no fences.

response_json:
  [
    {
      "title": "SmartPDU YANG Data Model",
      "description": "A standardized YANG data model for Smart Power Distribution Units that provides vendor-neutral configuration, monitoring, and control of intelligent power distribution systems. The model addresses the current fragmentation of proprietary SmartPDU APIs and data formats.",
      "type": "protocol"
    }
  ]


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request_json: batch-ideas[iso-iec-cd-ts-22440-3]
created_at: 2026-03-09T04:35:30.145909+00:00
response_json:
  [{"title": "Functional Safety Application Examples for AI Systems", "description": "Concrete demonstrations of how to apply functional safety principles and verification methods to AI-based systems across different application domains.", "type": "pattern"}]


draft_name: iso-iec-dtr-23888-1
prompt_hash: bddd8f31c42fd5a7
model: claude-haiku-4-5-20251001
request_json: batch-ideas[iso-iec-dtr-23888-1]
created_at: 2026-03-09T04:35:30.163899+00:00
response_json:
  [{"title": "AI for Multimedia Vision Framework", "description": "Systematic vision and scenario definitions for applying artificial intelligence to multimedia processing and analysis tasks.", "type": "architecture"}]


draft_name: iso-iec-np-23614
prompt_hash: 82dbe8bf2499fbc1
model: claude-haiku-4-5-20251001
request_json: batch-ideas[iso-iec-np-23614]
created_at: 2026-03-09T04:35:30.170945+00:00
response_json:
  [{"title": "Knowledge Graph Framework Standard", "description": "Standardized framework defining the structure, semantics, and interoperability requirements for knowledge graphs.", "type": "architecture"}]


draft_name: iso-iec-np-23615
prompt_hash: 68bccb53d4e8a1d1
model: claude-haiku-4-5-20251001
request_json: batch-ideas[iso-iec-np-23615]
created_at: 2026-03-09T04:35:30.177949+00:00
response_json:
  [{"title": "Neural Network Representation and Compression Standard", "description": "Standardized methods for representing neural network models and compressing them for efficient deployment and storage.", "type": "mechanism"}]


draft_name: iso-iec-pwi-17866
prompt_hash: d94865702c88c772
model: claude-haiku-4-5-20251001
request_json: batch-ideas[iso-iec-pwi-17866]
created_at: 2026-03-09T04:35:30.184394+00:00
response_json:
  [{"title": "Ethical and Societal Risk Mitigation Guidance for AI", "description": "Best practice guidance for identifying and mitigating ethical and societal concerns in AI system design and deployment.", "type": "pattern"}]


draft_name: iso-iec-tr-24030-2021
prompt_hash: c8d5ce80f476f990
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request_json: batch-ideas[iso-iec-tr-24030-2021]
created_at: 2026-03-09T04:35:32.834172+00:00
response_json:
  [{"title": "AI Use Cases Taxonomy Across Domains", "description": "A comprehensive collection and categorization of representative AI application use cases spanning multiple industry domains.", "type": "pattern"}]


draft_name: iso-np-pas-8800-1
prompt_hash: 15efc44a5f56aaa5
model: claude-haiku-4-5-20251001
request_json: batch-ideas[iso-np-pas-8800-1]
created_at: 2026-03-09T04:35:32.849482+00:00
response_json:
  [{"title": "AI Safety Concepts for Road Vehicles", "description": "Standardized definitions and conceptual framework for safety considerations when integrating artificial intelligence into road vehicle systems.", "type": "requirement"}]


draft_name: iso-pwi-18497-5
prompt_hash: 63ec043da1e1a099
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request_json: batch-ideas[iso-pwi-18497-5]
created_at: 2026-03-09T04:35:32.856836+00:00
response_json:
  [{"title": "Safety Framework for Autonomous Agricultural Machinery", "description": "Safety requirements and protocols for partially automated, semi-autonomous, and fully autonomous agricultural machinery and tractors.", "type": "requirement"}]


draft_name: iso-ts-13141-2010-cor-1-2013
prompt_hash: d784f24a625b9728
model: claude-haiku-4-5-20251001
request_json: batch-ideas[iso-ts-13141-2010-cor-1-2013]
created_at: 2026-03-09T04:35:32.863982+00:00
response_json:
  [{"title": "Localization Augmentation Communication for Autonomous Systems", "description": "Communication protocols and standards for enhancing location accuracy and information sharing in autonomous system implementations for electronic fee collection.", "type": "protocol"}]


draft_name: iso-ts-23860-2022
prompt_hash: 16f0a624245f95af
model: claude-haiku-4-5-20251001
request_json: batch-ideas[iso-ts-23860-2022]
created_at: 2026-03-09T04:35:34.060226+00:00
response_json:
  [{"title": "Maritime Autonomous Surface Ship Terminology Framework", "description": "Standardized vocabulary for classifying and describing autonomous ship systems including MASS and inland waterway variants.", "type": "requirement"}]


draft_name: _landscape_
prompt_hash: 056c2cf2cc31975d
model: claude-sonnet-4-20250514
created_at: 2026-03-09T04:36:39.600909+00:00
request_json:
  You are analyzing the landscape of 761 documents related to AI agents and autonomous systems from multiple standards organizations.

  ## IETF Drafts — Categories and Draft Counts
  - Policy/governance: 247 drafts
  - Data formats/interop: 206 drafts
  - Agent identity/auth: 152 drafts
  - AI safety/alignment: 143 drafts
  - A2A protocols: 137 drafts
  - Autonomous netops: 108 drafts
  - Agent discovery/reg: 81 drafts
  - Model serving/inference: 67 drafts
  - Human-agent interaction: 65 drafts
  - ML traffic mgmt: 65 drafts
  - Other AI/agent: 64 drafts

  ## Most Common Technical Ideas (from IETF drafts)
  - AC/TE YANG Models for Edge AI Placement (3 drafts)
  - Model Context Protocol over MOQT (3 drafts)
  - Automatic Extended Route Optimization over OMNI Interfaces (3 drafts)
  - A2A Protocol Transport over MOQT (2 drafts)
  - AI Traffic Characterization Framework (2 drafts)
  - Federated AI Service Operations Model (2 drafts)
  - Intent-Based Security Policy Translation for 5G (2 drafts)
  - Distributed Policy Enforcement via NEF and IBN Controllers (2 drafts)
  - Hybrid Post-Quantum Cryptography for EAP-AKA' (2 drafts)
  - Tiered Risk-Based Governance for Autonomous AI Agents (2 drafts)
  - AI Agent Protocol Framework (2 drafts)
  - HTTP Content Usage Preference Signaling (2 drafts)
  - KEM-based Authentication for EDHOC (2 drafts)
  - Human-in-the-Loop Confirmation Protocol (2 drafts)
  - Intent-based Agent Interconnection Protocol (2 drafts)
  - Decentralized LLM Inference Coordination Framework (2 drafts)
  - DRIP Entity Tags for Air Domain Awareness (2 drafts)
  - AI Agent Integration Requirements in 6G Networks (2 drafts)
  - MCP-based Network Measurement Framework (2 drafts)
  - MCP Extensions for Network Equipment Management (2 drafts)

  ## Known Overlap Clusters (groups of highly similar drafts)
  Multiple clusters of near-duplicate drafts exist, particularly in:
  - Policy/governance (247 drafts, high internal overlap)
  - Data formats/interop (206 drafts, high internal overlap)
  - Agent identity/auth (152 drafts, high internal overlap)
  - AI safety/alignment (143 drafts, high internal overlap)
  - A2A protocols (137 drafts, high internal overlap)


  ## Other Standards Bodies

  ### ETSI (12 documents)
  - **ETSI EN 304 223: Baseline Cyber Security Requirements for AI Models and Systems**: ETSI SAI specification: Baseline Cyber Security Requirements for AI Models and Systems
  - **ETSI GR ENI 007: ENI Definition of Categories for AI Application to Networks**: ETSI ENI specification: ENI Definition of Categories for AI Application to Networks
  - **ETSI GR SAI 001: AI Threat Ontology**: ETSI SAI specification: AI Threat Ontology
  - **ETSI GR SAI 002: Data Supply Chain Security**: ETSI SAI specification: Data Supply Chain Security
  - **ETSI GR SAI 003: Security Testing of AI**: ETSI SAI specification: Security Testing of AI
  - **ETSI GR SAI 004: Problem Statement on AI and Automated Decision Making**: ETSI SAI specification: Problem Statement on AI and Automated Decision Making
  - **ETSI GR SAI 005: Mitigation Strategy Report**: ETSI SAI specification: Mitigation Strategy Report
  - **ETSI GR SAI 006: Role of Hardware in AI Security**: ETSI SAI specification: Role of Hardware in AI Security
  - **ETSI GS ENI 001: ENI Use Cases**: ETSI ENI specification: ENI Use Cases
  - **ETSI GS ENI 002: ENI Requirements**: ETSI ENI specification: ENI Requirements
  - **ETSI GS ENI 005: System Architecture**: ETSI ENI specification: System Architecture
  - **ETSI GS ENI 019: Representing, Inferring, and Applying Context Information**: ETSI ENI specification: Representing, Inferring, and Applying Context Information

  ### ISO (238 documents)
  - **IEC/NP TS 62366-3: Medical devices — Part 3: Guidance on the application of usability engineering to**: This Part of IEC 62366, which is a Technical Specification, contains background information and provides guidance that addresses the specific areas th
  - **ISO 12813:2015: Electronic fee collection — Compliance check communication for autonomous systems**: <p>ISO 12813:2015 defines requirements for short-range communication for the purposes of compliance checking in autonomous electronic fee-collecting s
  - **ISO 12813:2015/Amd 1:2017: Electronic fee collection — Compliance check communication for autonomous**: ISO/IEC standard: Electronic fee collection — Compliance check communication for autonomous systems — Amendment 1. Committee: ISO/TC 204.
  - **ISO 12813:2015/CD Amd 2: Electronic fee collection — Compliance check communication for autonomous s**: ISO/IEC standard: Electronic fee collection — Compliance check communication for autonomous systems — Amendment 2. Committee: ISO/TC 204.
  - **ISO 12813:2019: Electronic fee collection — Compliance check communication for autonomous systems**: <p>This document defines requirements for short-range communication for the purposes of compliance checking in autonomous electronic fee collecting sy
  - **ISO 12813:2024: Electronic fee collection — Compliance check communication for autonomous systems**: <p class='MsoBodyText'><span lang='EN-GB'>This document specifies requirements for short-range communication for the purposes of compliance checking i
  - **ISO 13141:2015: Electronic fee collection — Localisation augmentation communication for autonomous s**: <p>ISO 13141:2015 establishes requirements for short-range communication for the purposes of augmenting the localization in autonomous electronic fee 
  - **ISO 13141:2015/Amd 1:2017: Electronic fee collection — Localisation augmentation communication for a**: ISO/IEC standard: Electronic fee collection — Localisation augmentation communication for autonomous systems — Amendment 1. Committee: ISO/TC 204.
  - **ISO 13141:2024: Electronic fee collection — Localization augmentation communication for autonomous s**: <p class='MsoBodyText'><span lang='EN-GB'>This document establishes requirements for short-range communication for the purposes of augmenting the loca
  - **ISO 16363:2012: Space data and information transfer systems — Audit and certification of trustworthy**: <p>ISO 16363:2012 defines a recommended practice for assessing the trustworthiness of digital repositories. It is applicable to the entire range of di
  - **ISO 16363:2025: Space data and information transfer systems — Audit and certification of trustworthy**: <p class='MsoNormal'><span style='color: black; mso-color-alt: windowtext;'>This document defines a CCSDS Recommended Practice on which to base an aud
  - **ISO 16919:2014: Space data and information transfer systems — Requirements for bodies providing audi**: <p>ISO 16919:2014 is meant primarily for those setting up and managing the organization performing the auditing and certification of digital repositor
  - **ISO 16919:2025: Space data and information transfer systems — Requirements for bodies providing audi**: <p class='MsoNormal'><span lang='EN-GB' style='mso-ansi-language: EN-GB;'>This document defines a CCSDS Recommended Practice (and ISO standard) on whi
  - **ISO 17575-1:2016: Electronic fee collection — Application interface definition for autonomous system**: <p>ISO 17575-1:2016 defines the format and semantics of the data exchange between a Front End (OBE plus optional proxy) and corresponding Back Ends in
  - **ISO 17575-2:2016: Electronic fee collection — Application interface definition for autonomous system**: <p>ISO 17575-2:2016 defines how to convey all or parts of the data element structure defined in other parts of ISO 17575 over any communication stack 
  - **ISO 17575-3:2016: Electronic fee collection — Application interface definition for autonomous system**: <p>ISO 17575-3:2016 defines the content, semantics and format of the data exchange between a Front End (OBE plus optional proxy) and the corresponding
  - **ISO 17757:2017: Earth-moving machinery and mining — Autonomous and semi-autonomous machine system sa**: <p>ISO 17757 provides safety requirements for autonomous machines and semi-autonomous machines used in earth-moving and mining operations, and their a
  - **ISO 17757:2019: Earth-moving machinery and mining — Autonomous and semi-autonomous machine system sa**: <p>This document provides safety requirements for autonomous machines and semi-autonomous machines (ASAM) used in earth-moving and mining operations, 
  - **ISO 18374:2025: Dentistry — Artificial intelligence (AI) and augmented intelligence (AuI) based 2D r**: <p class='MsoBodyText'><span lang='EN-GB'>This document defines the requirements for developing and documenting the goals, limitations, target end use
  - **ISO 18497-1:2024: Agricultural machinery and tractors — Safety of partially automated, semi-autonomo**: <p class='MsoBodyText'><span lang='EN-GB'>This document specifies principles for the design of agricultural machinery and tractors that are used in ag
  - **ISO 18497-2:2024: Agricultural machinery and tractors — Safety of partially automated, semi-autonomo**: <p class='MsoBodyText'><span lang='EN-GB'>This document specifies principles for the design of obstacle protective systems used in agricultural machin
  - **ISO 18497-3:2024: Agricultural machinery and tractors — Safety of partially automated, semi-autonomo**: <p class='MsoBodyText'><span lang='EN-GB'>This document specifies principles for the design of agricultural machinery and tractors utilizing systems (
  - **ISO 18497-4:2024: Agricultural machinery and tractors — Safety of partially automated, semi-autonomo**: <p class='MsoBodyText'><span lang='EN-GB'>This document specifies principles for verification methods and validation principles of agricultural machin
  - **ISO 18829:2017: Document management — Assessing ECM/EDRM implementations — Trustworthiness**: <p>ISO 18829:2017 identifies activities and operations that an organization needs to perform, or have performed, to evaluate whether the electronicall
  - **ISO 19178-1:2025: Geographic information — Training data markup language for artificial intelligence**: <p class='MsoBodyText'><span lang='EN-GB'>Within the context of training data for Earth Observation (EO) Artificial Intelligence Machine Learning (AI/
  - **ISO 20682:2026: Autonomous underwater vehicles — Risk and reliability**: <p><span lang='EN-GB'>This document specifies the risks and reliability of an autonomous underwater vehicle (AUV) in its underwater realm. It covers s
  - **ISO 22133:2026: Road vehicles — Test object monitoring and control for active safety and automated/a**: <p><span lang='EN-GB'>This document specifies requirements, procedures and message formats for controlling and monitoring of test objects, used for te
  - **ISO 22373:2025: Security and resilience — Authenticity, integrity and trust for products and documen**: <p class='MsoBodyText'><span lang='EN-GB'>This document establishes a framework to support stakeholders in supply and value chains to ensure the chain
  - **ISO 22733-1:2021: Road vehicles — Test method to evaluate the performance of autonomous emergency br**: <p>This document specifies a method to evaluate the behaviour of a vehicle equipped with an autonomous emergency braking system (AEBS), or dynamic bra
  - **ISO 22733-1:2022: Road vehicles — Test method to evaluate the performance of autonomous emergency br**: <p>This document specifies a method to evaluate the behaviour of a vehicle equipped with an autonomous emergency braking system (AEBS), or dynamic bra
    ... and 208 more

  ### ITU (20 documents)
  - **ITU-T FG-AI4H DEL01: AI for Health: Ethics and Governance**: ITU-T Recommendation FG-AI4H DEL01 on AI health: AI for Health: Ethics and Governance
  - **ITU-T FG-AI4H DEL02: AI for Health: Data handling**: ITU-T Recommendation FG-AI4H DEL02 on AI health: AI for Health: Data handling
  - **ITU-T FG-AI4H DEL7.2: AI for Health: Clinical evaluation of AI**: ITU-T Recommendation FG-AI4H DEL7.2 on AI health: AI for Health: Clinical evaluation of AI
  - **ITU-T X.1381: Framework for AI risk assessment in telecommunication networks**: ITU-T Recommendation X.1381 on AI security: Framework for AI risk assessment in telecommunication networks
  - **ITU-T X.1382: Security requirements for AI-based solutions in telecommunication networks**: ITU-T Recommendation X.1382 on AI security: Security requirements for AI-based solutions in telecommunication networks
  - **ITU-T X.1383: Assessment criteria for trustworthiness of AI-based telecommunication services**: ITU-T Recommendation X.1383 on Trustworthy AI: Assessment criteria for trustworthiness of AI-based telecommunication services
  - **ITU-T X.1384: Security threats and risk treatment measures for AI-based telecommunication systems**: ITU-T Recommendation X.1384 on AI security: Security threats and risk treatment measures for AI-based telecommunication systems
  - **ITU-T Y.3172: Architectural framework for machine learning in future networks including IMT-2020**: ITU-T Recommendation Y.3172 on AI/ML architecture: Architectural framework for machine learning in future networks including IMT-2020
  - **ITU-T Y.3173: Framework for evaluating intelligence levels of future networks including IMT-2020**: ITU-T Recommendation Y.3173 on AI/ML architecture: Framework for evaluating intelligence levels of future networks including IMT-2020
  - **ITU-T Y.3174: Framework for data handling to enable machine learning in future networks including IM**: ITU-T Recommendation Y.3174 on AI/ML architecture: Framework for data handling to enable machine learning in future networks including IMT-2020
  - **ITU-T Y.3176: Machine learning marketplace integration in future networks including IMT-2020**: ITU-T Recommendation Y.3176 on AI/ML architecture: Machine learning marketplace integration in future networks including IMT-2020
  - **ITU-T Y.3177: Architectural framework of AI-as-a-Service to enable AI services in future networks**: ITU-T Recommendation Y.3177 on AI/ML architecture: Architectural framework of AI-as-a-Service to enable AI services in future networks
  - **ITU-T Y.3178: Requirements and framework of federated machine learning**: ITU-T Recommendation Y.3178 on Federated learning: Requirements and framework of federated machine learning
  - **ITU-T Y.3179: Architectural framework for AI-based network automation**: ITU-T Recommendation Y.3179 on Network automation: Architectural framework for AI-based network automation
  - **ITU-T Y.3180: Framework for multi-domain ML pipeline in future networks**: ITU-T Recommendation Y.3180 on AI/ML architecture: Framework for multi-domain ML pipeline in future networks
  - **ITU-T Y.3181: Architectural framework for trustworthy networking based on machine learning technolog**: ITU-T Recommendation Y.3181 on Trustworthy AI: Architectural framework for trustworthy networking based on machine learning technology
  - **ITU-T Y.3530: Cloud computing — Overview of machine learning in future networks**: ITU-T Recommendation Y.3530 on Cloud AI: Cloud computing — Overview of machine learning in future networks
  - **ITU-T Y.3531: Cloud computing — Functional architecture for machine learning as a service**: ITU-T Recommendation Y.3531 on Cloud AI: Cloud computing — Functional architecture for machine learning as a service
  - **ITU-T Y.4464: Framework for IoT-area network using autonomous agents**: ITU-T Recommendation Y.4464 on IoT agents: Framework for IoT-area network using autonomous agents
  - **ITU-T Y.4907: Reference architecture for intelligent transportation systems communication network us**: ITU-T Recommendation Y.4907 on AI transport: Reference architecture for intelligent transportation systems communication network using AI

  ### NIST (11 documents)
  - **NIST AI 100-1: Artificial Intelligence Risk Management Framework (AI RMF 1.0)**: The AI RMF provides a framework for managing risks associated with AI systems throughout their lifecycle, addressing characteristics of trustworthy AI
  - **NIST AI 100-1 Playbook: AI RMF Playbook**: Practical companion to the AI RMF providing suggested actions for achieving AI risk management outcomes, organized by the framework's functions: Gover
  - **NIST AI 100-2 E2025: Adversarial Machine Learning: A Taxonomy and Terminology of Attacks and Mitigat**: Establishes a taxonomy of adversarial machine learning attacks and mitigations, covering evasion, poisoning, and privacy attacks against predictive AI
  - **NIST AI 100-4: Reducing Risks Posed by Synthetic Content**: Provides guidance on approaches to manage risks from synthetic content generated by AI, including authentication, provenance tracking, and content lab
  - **NIST AI 100-6: AI Measurement and Evaluation**: Guidance on measurement and evaluation approaches for AI systems to assess trustworthiness characteristics including accuracy, fairness, robustness, a
  - **NIST AI 600-1: Artificial Intelligence Risk Management Framework: Generative AI Profile**: Companion resource for the AI RMF focusing on risks unique to or exacerbated by generative AI, covering hallucinations, data privacy, intellectual pro
  - **NIST CSWP 31: Proxy Validation and Verification for Critical AI Systems**: Describes a proxy design process for validation and verification of critical AI systems, addressing challenges of testing AI systems that are complex 
  - **NIST IR 8579: Developing the NCCoE Chatbot: Technical and Security Learnings**: Documents technical and security lessons from implementing an LLM-based chatbot at the National Cybersecurity Center of Excellence, including prompt i
  - **NIST IR 8596: Cybersecurity Framework Profile for Artificial Intelligence**: A community profile mapping NIST Cybersecurity Framework functions to AI-specific risks and controls, helping organizations manage cybersecurity risks
  - **NIST NIST-AI-Agent-IAM: Accelerating the Adoption of Software and AI Agent Identity and Authorizatio**: Concept paper on identity and authorization for AI agents, addressing how software agents authenticate, authorize, and maintain accountability in auto
  - **NIST SP 800-218A: Secure Software Development Practices for Generative AI and Dual-Use Foundation Mo**: An SSDF community profile providing secure software development practices specific to generative AI and dual-use foundation models, addressing data ma

  ### W3C (11 documents)
  - **User Agent Accessibility Guidelines 1.0**: This document provides guidelines for designing user agents that lower barriers to Web accessibility for people with disabilities (visual, hearing, ph
  - **Techniques for User Agent Accessibility Guidelines 1.0**: This document provides techniques for satisfying the checkpoints defined in "User Agent Accessibility Guidelines 1.0" [UAAG10] . These techniques addr
  - **User Agent Accessibility Guidelines (UAAG) 2.0**: This document provides guidelines for designing user agents that lower barriers to Web accessibility for people with disabilities. User agents include
  - **UAAG 2.0 Reference: Explanations, Examples, and Resources for User Agent Accessibility Guidelines 2.**: This document provides explanation of the intent of UAAG 2.0 success criteria, examples of implementation of the UAAG 2.0 guidelines, best practice re
  - **User Agent Accessibility Guidelines 2.0 Requirements**: This First Public Working Draft outlines the requirements that the User Agent Accessibility Guidelines Working Group (UAWG) has set for development of
  - **Client-Specific Web Services by Using User Agent Attributes**: This document describes a simple framework for realizing client-specific web services. The proposed method uses the client properties such as screen s
  - **User Agent Authentication Forms**: This note proposes a new HTML capability to aid in the development of authenticated web user interfaces.
  - **Common User Agent Problems**: This document explains some common mistakes in user agents due to incorrect or incomplete implementation of specifications, and suggests remedies. It 
  - **Imagemapped Images and Image-Incapable User Agents**: This memo discusses appropriate handling of documents containing imagemapped images in cases where the user-agent cannot display or otherwise process 
  - **WAI-ARIA 1.0 User Agent Implementation Guide**: Describes how user agents should support keyboard navigation, respond to roles, states, and properties provided in Web content via WAI-ARIA, and expos
  - **Web User Agents**: Web user agents include both web browsers and other intermediaries between end-users and the web. Each user agent serves its user, not any of the othe

  Identify 8-15 GAPS — areas, problems, or technical challenges NOT adequately addressed by existing drafts and standards.

  Return a JSON array:
  [{"topic":"short topic name","description":"2-3 sentence description","category":"closest category or new","severity":"critical|high|medium|low","evidence":"what suggests this gap matters","addressed_by":"which existing standards (if any) partially address this, from any source"}]

  Focus on:
  1. Problems mentioned but not solved — even across organizations
  2. Missing infrastructure pieces (no standard from ANY body covers it)
  3. Security/privacy/safety issues not addressed
  4. Interoperability gaps between competing proposals or between standards bodies
  5. Real-world deployment concerns ignored
  6. Cross-organization coordination gaps (e.g., IETF protocol needs ISO governance framework)

  Consider what NIST, ISO, ETSI, ITU-T, and W3C already cover vs what remains missing.
  JSON array only, no fences.

response_json:
  [
    {
      "topic": "Cross-SDO AI Agent Certification",
      "description": "No unified certification framework exists for AI agents that must comply with multiple standards bodies simultaneously. Organizations deploying AI agents face conflicting requirements across NIST trustworthiness, ISO safety, ETSI security, and ITU network integration standards.",
      "category": "Policy/governance",
      "severity": "critical",
      "evidence": "Real deployments require simultaneous compliance with safety (ISO), security (ETSI), trustworthiness (NIST), and network standards (ITU), but no cross-recognition framework exists",
      "addressed_by": "Partially by individual frameworks: NIST AI RMF, ISO safety standards, ETSI SAI security specs"
    },
    {
      "topic": "Real-time AI Agent Liability Attribution",
      "description": "When multiple autonomous AI agents interact and cause harm, no technical standard exists for real-time liability tracking and attribution. Current frameworks address governance but not the technical mechanisms for liability determination during multi-agent failures.",
      "category": "AI safety/alignment",
      "severity": "critical",
      "evidence": "Multi-agent systems are being deployed without clear technical mechanisms to determine responsibility when agents interact and cause unintended consequences",
      "addressed_by": "NIST AI RMF addresses governance aspects but lacks technical attribution mechanisms; ISO safety standards focus on single-agent scenarios"
    },
    {
      "topic": "Agent-to-Human Consent Management",
      "description": "No standard protocol exists for AI agents to obtain, track, and revoke human consent across different interaction contexts and time periods. Current human-agent interaction protocols lack persistent consent state management.",
      "category": "Human-agent interaction",
      "severity": "high",
      "evidence": "Privacy regulations require ongoing consent management, but AI agents lack standardized mechanisms to handle consent across sessions and contexts",
      "addressed_by": "W3C user agent guidelines touch on user preferences but not AI-specific consent protocols; IETF has 2 human-in-the-loop drafts but not consent-focused"
    },
    {
      "topic": "Cross-Domain AI Model Poisoning Detection",
      "description": "While NIST addresses adversarial ML, no standard exists for detecting model poisoning when AI agents share or federate models across organizational boundaries. Cross-domain poisoning attacks remain undetectable by current frameworks.",
      "category": "AI safety/alignment",
      "severity": "high",
      "evidence": "Federated learning and model sharing are increasing, but poisoning attacks across trust boundaries lack standardized detection mechanisms",
      "addressed_by": "NIST AI 100-2 addresses adversarial ML but focuses on single-domain scenarios; ITU-T Y.3178 covers federated learning architecture but not security"
    },
    {
      "topic": "AI Agent Resource Exhaustion Prevention",
      "description": "No standard exists to prevent AI agents from consuming excessive computational, network, or storage resources when operating autonomously. Current traffic management focuses on characterization but not prevention of resource abuse.",
      "category": "Autonomous netops",
      "severity": "high",
      "evidence": "Autonomous agents can cause denial-of-service through resource overconsumption, but no preventive standards exist beyond basic traffic characterization",
      "addressed_by": "IETF has 2 AI traffic characterization drafts but no prevention mechanisms; ITU-T network standards don't address AI-specific resource abuse"
    },
    {
      "topic": "Multi-Modal Agent Authentication",
      "description": "Current agent identity standards assume single authentication modalities, but real AI agents operate across voice, text, visual, and sensor inputs simultaneously. No standard addresses unified authentication across multiple modalities.",
      "category": "Agent identity/auth",
      "severity": "high",
      "evidence": "Multi-modal AI agents are being deployed without standardized cross-modality authentication, creating security vulnerabilities",
      "addressed_by": "IETF has 152 agent identity drafts but focus on single modalities; NIST AI-Agent-IAM is conceptual only"
    },
    {
      "topic": "Agent Behavior Drift Detection",
      "description": "No technical standard exists for detecting when AI agents' behavior drifts from their original training or intended function over time. Current standards address initial validation but not ongoing behavioral monitoring.",
      "category": "AI safety/alignment",
      "severity": "medium",
      "evidence": "AI agents deployed in production environments change behavior over time, but no standardized drift detection mechanisms exist",
      "addressed_by": "NIST AI measurement guidelines address initial evaluation but not continuous monitoring; ISO standards focus on pre-deployment testing"
    },
    {
      "topic": "Emergency AI Agent Shutdown Protocols",
      "description": "While individual systems may have shutdown mechanisms, no standard protocol exists for coordinated emergency shutdown of multiple interacting AI agents across different organizations and networks during crisis situations.",
      "category": "AI safety/alignment",
      "severity": "critical",
      "evidence": "Multi-agent systems lack coordinated shutdown capabilities for emergency situations, creating systemic risks",
      "addressed_by": "Individual ISO safety standards address single-agent shutdown but not coordinated multi-agent emergency protocols"
    },
    {
      "topic": "AI Agent Training Data Provenance Verification",
      "description": "No standard exists for AI agents to verify and communicate the provenance of their training data to other agents or humans during interactions. This creates trust and compliance issues in regulated industries.",
      "category": "Data formats/interop",
      "severity": "medium",
      "evidence": "Regulated industries require training data provenance for AI decisions, but agents lack standardized mechanisms to communicate this information",
      "addressed_by": "NIST AI 100-4 addresses synthetic content provenance but not training data provenance; ETSI SAI 002 covers data supply chain security conceptually"
    },
    {
      "topic": "Inter-Agent Conflict Resolution Protocols",
      "description": "When autonomous AI agents have conflicting objectives or instructions, no standard protocol exists for resolving conflicts without human intervention. Current A2A protocols assume cooperative scenarios.",
      "category": "A2A protocols",
      "severity": "medium",
      "evidence": "Multi-agent deployments encounter conflicting objectives but lack standardized automated conflict resolution mechanisms",
      "addressed_by": "IETF has 137 A2A protocol drafts but assume cooperative scenarios; no conflict resolution protocols identified"
    }
  ]


draft_name: draft-howe-vcon-agent-session
prompt_hash: 40e5783b5c30953c
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T09:56:18.795898+00:00
response_json:
  {"name": "draft-howe-vcon-agent-session", "s": "Defines an extension to Virtualized Conversations (vCon) for recording AI agent internal sessions including prompts, tool calls, and reasoning alongside human conversations. Uses existing vCon infrastructure for identity, lifecycle management, and signing without requiring new top-level fields.", "n": 4, "nn": "Novel application of vCon to agent session recording with structured internal trace capture", "m": 4, "mn": "Well-structured specification building on established vCon framework with clear technical approach", "o": 2, "on": "Unique focus on conversation recording rather than communication protocols or authentication", "mo": 3, "mon": "Leverages existing vCon work but uncertain adoption for agent use cases", "r": 4, "rn": "High relevance for agent audit, compliance, and debugging in conversational AI systems", "c": ["Data formats/interop", "Human-agent interaction", "Policy/governance"]}


draft_name: draft-zhang-rtgwg-agent-policy-aware-network
prompt_hash: a5ab001124e58ffa
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T09:56:18.824868+00:00
response_json:
  {"name": "draft-zhang-rtgwg-agent-policy-aware-network", "s": "Proposes AI Agent Policy-Aware Network paradigm shifting from flow-aware to agent-aware networking with policy-intent-based QoS. Introduces Agent Policy-aware Controller and devices for dynamic mapping between agent intents and network policies.", "n": 4, "nn": "Novel paradigm shift from traditional flow-based to agent-aware network architectures", "m": 2, "mn": "Early stage requirements document with broad scope but limited technical depth", "o": 3, "on": "Some overlap with other agent networking proposals but unique policy-aware focus", "mo": 3, "mon": "Addresses emerging need but requires significant infrastructure changes", "r": 4, "rn": "Highly relevant as agent deployments stress traditional network architectures", "c": ["ML traffic mgmt", "Policy/governance", "Autonomous netops"]}


draft_name: draft-shang-campus-agent-scope-down
prompt_hash: bf3fbab4ce3fbda0
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T09:56:18.838297+00:00
response_json:
  {"name": "draft-shang-campus-agent-scope-down", "s": "Addresses access control challenges for AI agents in enterprise campus networks, proposing task-bound privilege reduction enforced by in-path network devices. Focuses on compatibility with heterogeneous legacy systems through network-level enforcement.", "n": 3, "nn": "Practical approach to agent privilege management using network enforcement points", "m": 3, "mn": "Clear problem definition with reasonable technical approach, moderate detail level", "o": 3, "on": "Overlaps with general agent auth but unique campus network and scope-down focus", "mo": 3, "mon": "Addresses real deployment challenges but requires network infrastructure updates", "r": 4, "rn": "Very relevant for enterprise agent deployments and security concerns", "c": ["Agent identity/auth", "Policy/governance", "Agent discovery/reg"]}


draft_name: draft-han-agent-comm-enterprise
prompt_hash: 2cee1a1138cccd96
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T09:56:18.856364+00:00
response_json:
  {"name": "draft-han-agent-comm-enterprise", "s": "Focuses on enterprise agent communication including identification, capability discovery, and semantic routing mechanisms. Proposes technical solutions for trusted access and efficient collaboration among heterogeneous agents in campus environments.", "n": 3, "nn": "Semantic routing approach for agent communication is relatively novel", "m": 2, "mn": "High-level overview with limited technical depth, needs more specification detail", "o": 4, "on": "Significant overlap with other agent communication and enterprise networking drafts", "mo": 2, "mon": "Generic approach without clear differentiation from competing solutions", "r": 3, "rn": "Relevant to enterprise deployments but lacks unique value proposition", "c": ["A2A protocols", "Agent identity/auth", "Agent discovery/reg"]}


draft_name: draft-kiliram-agent-trust-auth-framework
prompt_hash: 53be4346bcc114f8
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T09:56:18.869375+00:00
response_json:
  {"name": "draft-kiliram-agent-trust-auth-framework", "s": "Comprehensive architectural framework for cross-domain agent-to-agent trust and authentication including identity, credentialing, authorization, delegation, and auditability. Designed to be protocol-agnostic and provide consistent trust baseline for AI agent ecosystems.", "n": 4, "nn": "Comprehensive cross-domain trust framework specifically designed for agent ecosystems", "m": 4, "mn": "Extensive 37-page specification with detailed architectural framework and considerations", "o": 3, "on": "Some overlap with general auth frameworks but unique agent-specific cross-domain focus", "mo": 4, "mon": "Addresses critical infrastructure need with comprehensive approach", "r": 5, "rn": "Extremely relevant as foundational infrastructure for agent ecosystem deployment", "c": ["Agent identity/auth", "A2A protocols", "Policy/governance"]}


draft_name: draft-gudlab-agentid-protocol
prompt_hash: 2b57edba10c00373
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T09:56:44.326499+00:00
response_json:
  {"name": "draft-gudlab-agentid-protocol", "s": "Defines AgentID Protocol using Agent Identity Tokens (AITs) as signed JWTs for AI agent authentication and authorization. Builds on OAuth/OpenID Connect with delegation chains and capability scoping for autonomous agents.", "n": 4, "nn": "Novel adaptation of existing auth standards specifically for autonomous AI agents with delegation chains", "m": 4, "mn": "Well-structured protocol building on proven standards with clear technical specifications", "o": 3, "on": "Moderate overlap with draft-aip-agent-identity-protocol on agent identity, but different technical approach", "mo": 4, "mon": "Strong technical foundation and practical applicability should drive adoption", "r": 5, "rn": "Directly addresses critical need for agent identity management as AI agents proliferate", "c": ["Agent identity/auth", "A2A protocols", "Policy/governance"]}


draft_name: draft-nemethi-aid-agent-identity-discovery
prompt_hash: 4a7f6902ab43ef4a
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T09:56:44.351348+00:00
response_json:
  {"name": "draft-nemethi-aid-agent-identity-discovery", "s": "DNS-first discovery protocol for locating agent service endpoints using TXT records at _agent.<domain>. Minimal approach focused solely on discovery, leaving communication to other protocols.", "n": 3, "nn": "Straightforward DNS-based approach, novel application to agent discovery but uses standard techniques", "m": 4, "mn": "Simple, well-defined protocol with clear discovery algorithm and security requirements", "o": 2, "on": "Complementary to other drafts focusing on discovery rather than identity or communication", "mo": 3, "mon": "DNS-based approach is familiar but may face adoption challenges without broader ecosystem", "r": 4, "rn": "Agent discovery is essential infrastructure need, though narrower scope than identity protocols", "c": ["Agent discovery/reg", "Data formats/interop"]}


draft_name: draft-aip-agent-identity-protocol
prompt_hash: fa62ef5cb954f0e2
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T09:56:44.364412+00:00
response_json:
  {"name": "draft-aip-agent-identity-protocol", "s": "Two-layer protocol providing agent identity via key pairs and registries, plus enforcement via proxies with policy evaluation. Focuses on preventing unbounded agent permissions through signature verification and declarative policies.", "n": 4, "nn": "Comprehensive identity+enforcement architecture with proxy-based policy enforcement is distinctive", "m": 3, "mn": "Ambitious scope but implementation complexity may hinder adoption without reference implementations", "o": 4, "on": "Significant overlap with AgentID protocol on identity aspects, different enforcement approach", "mo": 3, "mon": "Addresses important security concerns but complex architecture may slow standardization", "r": 5, "rn": "Critical security problem of unbounded agent permissions, highly relevant to enterprise adoption", "c": ["Agent identity/auth", "Policy/governance", "AI safety/alignment"]}


draft_name: draft-niyikiza-oauth-attenuating-agent-tokens
prompt_hash: 802e474081f9a7d2
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T09:56:44.377831+00:00
response_json:
  {"name": "draft-niyikiza-oauth-attenuating-agent-tokens", "s": "JWT-based Attenuating Authorization Tokens (AATs) for AI agent delegation with cryptographically enforced scope reduction. Extends Rich Authorization Requests with offline token attenuation and constraint verification.", "n": 5, "nn": "Highly novel cryptographic approach to delegation with provable attenuation properties", "m": 4, "mn": "Sophisticated technical approach with formal verification properties, though implementation complexity is high", "o": 2, "on": "Complements other protocols by focusing specifically on delegation mechanics rather than broad identity", "mo": 4, "mon": "Strong technical innovation and clear security properties should drive research and enterprise interest", "r": 4, "rn": "Delegation is crucial for agent ecosystems, though more specialized than general identity needs", "c": ["Agent identity/auth", "Policy/governance", "AI safety/alignment"]}


draft_name: draft-liu-agent-metadata-sync-protocol
prompt_hash: e324e52631112ed2
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T09:56:44.398329+00:00
response_json:
  {"name": "draft-liu-agent-metadata-sync-protocol", "s": "Synchronization protocol for Agent Gateway metadata exchange in hierarchical deployments. Enables multiple gateways to share agent records for global reachability and routing.", "n": 3, "nn": "Standard distributed systems approach applied to agent metadata, builds on known synchronization patterns", "m": 3, "mn": "Reasonable technical approach but depends heavily on undefined Agent Gateway infrastructure", "o": 1, "on": "Unique focus on inter-gateway synchronization, minimal overlap with other identity/discovery drafts", "mo": 2, "mon": "Limited by dependency on broader Agent Gateway ecosystem that may not materialize", "r": 3, "rn": "Important for large-scale deployments but less immediately relevant than basic identity protocols", "c": ["Agent discovery/reg", "Autonomous netops", "Data formats/interop"]}


draft_name: draft-hood-agtp-agent-cert
prompt_hash: b5f0257034d10dc5
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T09:57:01.957184+00:00
response_json:
  {"name": "draft-hood-agtp-agent-cert", "s": "Defines X.509 certificate extension for cryptographically binding AGTP agent identity headers during TLS mutual authentication. Enables infrastructure-level identity verification without application-layer access.", "n": 4, "nn": "Novel integration of agent identity with X.509 certificates and Certificate Transparency", "m": 4, "mn": "Well-specified with clear technical mechanisms and implementation details", "o": 2, "on": "Builds on AGTP base spec but adds unique certificate-based approach", "mo": 3, "mon": "Part of broader AGTP ecosystem development", "r": 4, "rn": "High relevance for secure agent-to-agent communications at scale", "c": ["Agent identity/auth", "A2A protocols"]}


draft_name: draft-sharif-agent-payment-trust
prompt_hash: 830c8c3709255847
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T09:57:01.981257+00:00
response_json:
  {"name": "draft-sharif-agent-payment-trust", "s": "Specifies trust scoring and identity verification protocol for AI agents making financial transactions. Defines five-dimension trust model with spend limits based on behavioral history.", "n": 4, "nn": "Novel application of trust scoring to AI agent financial transactions", "m": 3, "mn": "Good technical detail but newer problem space", "o": 2, "on": "Complements MCP security draft but addresses unique financial trust domain", "mo": 3, "mon": "Part of emerging AI agent economy infrastructure", "r": 5, "rn": "Critical for enabling autonomous agent financial transactions", "c": ["Agent identity/auth", "Policy/governance"]}


draft_name: draft-helixar-hdp-agentic-delegation
prompt_hash: 3774c0ff25427537
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T09:57:01.993063+00:00
response_json:
  {"name": "draft-helixar-hdp-agentic-delegation", "s": "Defines cryptographic chain-of-custody protocol for tracking human delegation through multi-agent AI systems. Provides offline verification without central registries or third-party trust anchors.", "n": 5, "nn": "Highly novel approach to delegation provenance with offline verification", "m": 4, "mn": "Comprehensive specification with clear cryptographic design", "o": 1, "on": "Unique focus on human delegation provenance chains", "mo": 3, "mon": "Addresses emerging need for delegation transparency", "r": 5, "rn": "Essential for accountable multi-agent AI systems", "c": ["Agent identity/auth", "Human-agent interaction", "Policy/governance"]}


draft_name: draft-yakung-oauth-agent-attestation
prompt_hash: 2732c9bf3495fdd3
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T09:57:02.009371+00:00
response_json:
  {"name": "draft-yakung-oauth-agent-attestation", "s": "Defines JWT-based credential attestation protocol for AI agent pipelines with scope-limited permissions and tamper-evident delegation chains. Includes comprehensive audit logging and revocation semantics.", "n": 3, "nn": "Builds on established JWT/OAuth patterns for agent credentialing", "m": 4, "mn": "Very comprehensive with detailed lifecycle management", "o": 3, "on": "Similar delegation concepts to HDP but JWT-based approach", "mo": 4, "mon": "Leverages established OAuth ecosystem", "r": 4, "rn": "Strong relevance for enterprise agent deployment", "c": ["Agent identity/auth", "Policy/governance"]}


draft_name: draft-sharif-openid-agent-identity
prompt_hash: 246c165537c04660
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T09:57:02.021393+00:00
response_json:
  {"name": "draft-sharif-openid-agent-identity", "s": "Defines OpenID Connect profile for autonomous AI agent identity tokens. Introduces standard claims for agent ownership, trust posture, and capabilities within existing OIDC infrastructure.", "n": 2, "nn": "Straightforward extension of existing OpenID Connect for agents", "m": 2, "mn": "Very brief specification, likely needs more development", "o": 4, "on": "High overlap with established OpenID Connect patterns", "mo": 4, "mon": "Benefits from mature OpenID Connect ecosystem", "r": 3, "rn": "Useful for integrating agents with existing identity infrastructure", "c": ["Agent identity/auth"]}


draft_name: draft-sharif-agent-transport-protocol
prompt_hash: 4bbb67b714948d82
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T09:57:21.714935+00:00
response_json:
  {"name": "draft-sharif-agent-transport-protocol", "s": "Specifies ATP, an asynchronous store-and-forward messaging protocol that enables AI agents to transmit themselves (including state and identity) between runtimes. Similar to SMTP but purpose-built for agent-to-agent communication with cryptographic verification.", "n": 4, "nn": "Novel adaptation of email paradigm to agent mobility with strong identity verification", "m": 4, "mn": "Well-structured with clear protocol mechanics and interoperability considerations", "o": 2, "on": "Complements rather than overlaps with other drafts in the set", "mo": 4, "mon": "Addresses fundamental infrastructure need for agent communication", "r": 5, "rn": "Critical for enabling autonomous agent ecosystems and mobility", "c": ["A2A protocols", "Agent identity/auth", "Data formats/interop"]}


draft_name: draft-sharif-agent-audit-trail
prompt_hash: 61e23cfd8d5df34a
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T09:57:21.730573+00:00
response_json:
  {"name": "draft-sharif-agent-audit-trail", "s": "Defines a standard JSON-based logging format for AI agent systems with tamper-evident hash chaining. Specifically addresses EU AI Act compliance requirements and maps to multiple regulatory frameworks.", "n": 3, "nn": "Applies established audit trail techniques to AI agent domain", "m": 5, "mn": "Comprehensive with clear regulatory mapping and practical export formats", "o": 1, "on": "Unique focus on standardized audit trail format", "mo": 5, "mon": "Addresses imminent regulatory compliance needs (EU AI Act 2026)", "r": 5, "rn": "Essential for regulatory compliance and accountability in AI systems", "c": ["Data formats/interop", "Policy/governance", "AI safety/alignment"]}


draft_name: draft-hartman-credential-broker-4-agents
prompt_hash: e49624675a573335
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T09:57:21.744856+00:00
response_json:
  {"name": "draft-hartman-credential-broker-4-agents", "s": "Specifies CB4A, a credential vaulting architecture that provides agents with short-lived proxy credentials instead of long-lived API keys. Uses SPIFFE/SPIRE for identity and DPoP for token binding to address credential sprawl risks.", "n": 4, "nn": "Novel application of zero-trust principles to agent credential management", "m": 4, "mn": "Solid architecture with comprehensive threat model and established building blocks", "o": 2, "on": "Complements identity work in other drafts but focuses on credential management", "mo": 4, "mon": "Addresses critical security concern as agents become more prevalent", "r": 5, "rn": "Critical for secure agent deployment in production environments", "c": ["Agent identity/auth", "Policy/governance", "AI safety/alignment"]}


draft_name: draft-sharif-attp-agent-trust-transport
prompt_hash: 83e83ec5cfb3631e
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T09:57:21.755998+00:00
response_json:
  {"name": "draft-sharif-attp-agent-trust-transport", "s": "Defines ATTP, a synchronous HTTP-based protocol for agent-to-server communication with mandatory cryptographic signing and identity verification. Complements the asynchronous ATP protocol for real-time API interactions.", "n": 3, "nn": "HTTP extension for agent communication with strong security requirements", "m": 4, "mn": "Well-defined protocol with clear security model and backward compatibility", "o": 3, "on": "Some overlap with ATP but addresses different communication pattern", "mo": 4, "mon": "Addresses immediate need for secure agent-API communication", "r": 4, "rn": "Important for secure agent integration with existing web services", "c": ["A2A protocols", "Agent identity/auth", "Data formats/interop"]}


draft_name: draft-anandakrishnan-ptv-attested-agent-identity
prompt_hash: cc507df571ae63d9
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T09:57:21.779106+00:00
response_json:
  {"name": "draft-anandakrishnan-ptv-attested-agent-identity", "s": "Specifies PTV protocol for hardware-anchored agent identity using TPM/secure enclaves and zero-knowledge proofs. Enables cross-domain authorization without data exposure using BFT consensus for audit trails.", "n": 5, "nn": "Highly novel combination of hardware attestation, ZK proofs, and BFT consensus for agents", "m": 3, "mn": "Advanced concepts but less detail on practical implementation", "o": 2, "on": "Unique approach to identity that could complement other protocols", "mo": 3, "mon": "Cutting-edge but may be ahead of current deployment needs", "r": 4, "rn": "Highly relevant for high-security environments and regulatory compliance", "c": ["Agent identity/auth", "AI safety/alignment", "Policy/governance"]}


draft_name: draft-beyer-agent-identity-problem-statement
prompt_hash: a817712d3f3e5cf1
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T09:57:42.180006+00:00
response_json:
  {"name": "draft-beyer-agent-identity-problem-statement", "s": "Defines the problem space for human-anchored agent identity, highlighting gaps in current systems that lack delegation models and provenance tracking. Establishes the foundation for addressing accountability and control in agent ecosystems.", "n": 4, "nn": "Novel focus on human-anchored identity rather than just software authentication", "m": 3, "mn": "Problem statement format indicates early stage but well-structured analysis", "o": 1, "on": "Foundational problem definition with minimal overlap", "mo": 4, "mon": "Strong foundation document that other drafts build upon", "r": 5, "rn": "Critical problem as AI agents become more autonomous and widespread", "c": ["Agent identity/auth", "Policy/governance", "AI safety/alignment"]}


draft_name: draft-beyer-agent-identity-architecture
prompt_hash: e3489a59b8d5064c
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T09:57:42.202122+00:00
response_json:
  {"name": "draft-beyer-agent-identity-architecture", "s": "Provides architectural model for human-anchored agent identity with delegation semantics and provenance structures. Establishes foundation for determining agent legitimacy and authority scope across ecosystems.", "n": 4, "nn": "Comprehensive architectural approach to agent identity delegation chains", "m": 4, "mn": "Well-developed architecture ready for protocol binding", "o": 2, "on": "Builds on problem statement but introduces distinct architectural concepts", "mo": 4, "mon": "Core architecture that enables multiple protocol implementations", "r": 5, "rn": "Essential architecture for safe and accountable agent deployment", "c": ["Agent identity/auth", "Policy/governance", "AI safety/alignment"]}


draft_name: draft-beyer-agent-identity-avian-carriers
prompt_hash: 474b85f2588ca504
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T09:57:42.214490+00:00
response_json:
  {"name": "draft-beyer-agent-identity-avian-carriers", "s": "April 1st publication extending agent identity concepts to RFC 1149 avian carriers. Addresses delegation chains and provenance for pigeon-based AI model communication.", "n": 2, "nn": "Creative April Fools application but limited practical novelty", "m": 2, "mn": "April 1st document with intentionally limited practical application", "o": 3, "on": "Extends existing architecture to specific (humorous) transport layer", "mo": 1, "mon": "April 1st publication with minimal serious momentum", "r": 1, "rn": "Entertainment value only, no practical relevance", "c": ["Other AI/agent", "Data formats/interop"]}


draft_name: draft-embesozzi-oauth-agent-native-authorization
prompt_hash: 796f68813958b728
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T09:57:42.226447+00:00
response_json:
  {"name": "draft-embesozzi-oauth-agent-native-authorization", "s": "Extends OAuth 2.0 FiPA with structured elicitation for AI agent authorization challenges. Provides standard metadata format enabling interoperable non-browser client implementations.", "n": 3, "nn": "Practical extension addressing real interoperability gap in OAuth for agents", "m": 4, "mn": "Concrete protocol extension with clear implementation path", "o": 3, "on": "Builds on established OAuth framework with agent-specific extensions", "mo": 3, "mon": "Addresses practical deployment need with existing OAuth adoption", "r": 4, "rn": "High practical relevance for current AI agent authorization needs", "c": ["Agent identity/auth", "Human-agent interaction", "Data formats/interop"]}


draft_name: draft-anandakrishnan-rats-ptv-agent-identity
prompt_hash: dc4bb205c41019a7
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T09:57:42.238647+00:00
response_json:
  {"name": "draft-anandakrishnan-rats-ptv-agent-identity", "s": "Defines PTV protocol for hardware-anchored AI agent attestation using prove-transform-verify pattern. Focuses on model authorization proof without exposing sensitive data in critical systems.", "n": 4, "nn": "Novel combination of hardware attestation with AI-specific identity requirements", "m": 4, "mn": "Complete protocol specification with clear threat model and use cases", "o": 2, "on": "Leverages RATS framework but addresses distinct agent attestation requirements", "mo": 3, "mon": "Strong technical approach for high-assurance environments", "r": 4, "rn": "Critical for healthcare and infrastructure applications requiring strong attestation", "c": ["Agent identity/auth", "AI safety/alignment", "Policy/governance"]}


draft_name: draft-sharif-agent-identity-framework
prompt_hash: 550d0f56c0278553
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T09:58:03.322600+00:00
response_json:
  {"name": "draft-sharif-agent-identity-framework", "s": "Defines a comprehensive five-layer framework (identity, authorization, attestation, evidence, trust) for agent identity and trust on the Internet. Serves as an informational guide for future standards work rather than defining specific protocols.", "n": 4, "nn": "Novel five-layer separation of concerns and comprehensive gap analysis between current Internet standards and agent requirements", "m": 3, "mn": "Well-structured framework but informational only - lacks concrete implementation details", "o": 2, "on": "Foundational framework with some overlap on identity concepts but addresses broader trust architecture", "mo": 4, "mon": "Strong foundation document that other drafts can build upon, comprehensive scope", "r": 5, "rn": "Highly relevant as foundational framework for emerging autonomous agent ecosystem", "c": ["Agent identity/auth", "Policy/governance"]}


draft_name: draft-sharif-apki-agent-pki
prompt_hash: b8708f2327386df2
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T09:58:03.354447+00:00
response_json:
  {"name": "draft-sharif-apki-agent-pki", "s": "Extends X.509 PKI with agent-specific certificate extensions and defines Agent Transparency Logs. Provides concrete certificate-based identity system compatible with existing PKI infrastructure.", "n": 4, "nn": "Novel extension of traditional PKI with agent-specific capabilities like graduated trust scoring and capability constraints", "m": 4, "mn": "Concrete technical specification with defined extensions and compatibility considerations", "o": 3, "on": "Overlaps with other identity approaches but focuses specifically on PKI extension", "mo": 4, "mon": "Builds on established PKI foundation, good compatibility story", "r": 4, "rn": "Very relevant for organizations wanting to extend existing PKI infrastructure for agents", "c": ["Agent identity/auth", "Data formats/interop"]}


draft_name: draft-nyantakyi-vaip-agent-identity
prompt_hash: 2630c6c2a66b19a4
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T09:58:03.369187+00:00
response_json:
  {"name": "draft-nyantakyi-vaip-agent-identity", "s": "Defines cryptographic identity protocol with Ed25519 signatures and hierarchical permission scopes. Focuses on enterprise multi-tenant environments with time-bounded grants.", "n": 3, "nn": "Solid engineering approach but uses standard cryptographic primitives in expected ways", "m": 3, "mn": "Concise specification with clear technical choices but limited scope", "o": 4, "on": "Significant overlap with other identity protocols, differentiated mainly by specific crypto choices", "mo": 2, "mon": "Shorter document with narrower scope may limit adoption potential", "r": 3, "rn": "Relevant for enterprise use cases but more limited scope than other approaches", "c": ["Agent identity/auth"]}


draft_name: draft-singla-agent-identity-protocol
prompt_hash: 8fb147fc4b9cd86b
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T09:58:03.380786+00:00
response_json:
  {"name": "draft-singla-agent-identity-protocol", "s": "Comprehensive decentralized identity framework using W3C DIDs and capability-based authorization. Enables multi-agent workflows without centralized identity providers.", "n": 4, "nn": "Strong integration of W3C DID standards with capability-based security model for agent use cases", "m": 2, "mn": "Very long document (225pg) suggests either comprehensive coverage or lack of focus", "o": 3, "on": "Overlaps on identity concepts but unique in decentralized approach and DID integration", "mo": 3, "mon": "Decentralized approach appealing but complexity may hinder adoption", "r": 4, "rn": "Highly relevant for decentralized agent ecosystems and Web3 integration", "c": ["Agent identity/auth", "A2A protocols"]}


draft_name: draft-emirdag-scitt-ai-agent-execution
prompt_hash: a0c9d9d6289311bf
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T09:58:03.410198+00:00
response_json:
  {"name": "draft-emirdag-scitt-ai-agent-execution", "s": "Applies SCITT framework to create verifiable audit trails of agent actions. Focuses on compliance with multiple regulatory frameworks including EU AI Act and financial regulations.", "n": 4, "nn": "Novel application of supply chain integrity concepts to agent execution auditing", "m": 4, "mn": "Well-defined technical profile with strong regulatory compliance mapping", "o": 2, "on": "Unique focus on audit trails and compliance rather than core identity", "mo": 5, "mon": "Strong regulatory compliance story likely to drive enterprise adoption", "r": 5, "rn": "Extremely relevant given increasing regulatory focus on AI transparency and auditability", "c": ["Policy/governance", "Agent identity/auth", "Data formats/interop"]}


draft_name: draft-jimenez-t2trg-iot-agent
prompt_hash: 71338ffc650eb799
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T09:58:28.074658+00:00
response_json:
  {"name": "draft-jimenez-t2trg-iot-agent", "s": "Defines architecture for LLM-based agents to autonomously discover and interact with IoT devices using CoAP and hypermedia patterns. Enables agents to operate IoT environments without pre-configured device knowledge through in-band discovery and SDF models.", "n": 4, "nn": "Novel application of LLM agents to constrained IoT environments with hypermedia-driven discovery", "m": 3, "mn": "Well-defined architecture but early stage for practical IoT agent deployment", "o": 2, "on": "Some overlap with general agent discovery but unique focus on constrained IoT environments", "mo": 3, "mon": "Growing interest in IoT-AI integration but niche application area", "r": 4, "rn": "Highly relevant as IoT and AI convergence becomes critical for smart systems", "c": ["Agent discovery/reg", "Human-agent interaction", "Data formats/interop"]}


draft_name: draft-nivalto-agentroa-route-authorization
prompt_hash: 72808ea5c0be1d79
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T09:58:28.127923+00:00
response_json:
  {"name": "draft-nivalto-agentroa-route-authorization", "s": "Specifies cryptographic policy enforcement framework for AI agents using BGP ROA-inspired model. Provides agent authorization envelopes, delegation chains, and border gateway enforcement at capability boundaries.", "n": 5, "nn": "Highly novel adaptation of BGP/RPKI concepts to AI agent governance with sophisticated cryptographic framework", "m": 4, "mn": "Comprehensive technical specification with detailed cryptographic mechanisms", "o": 2, "on": "Unique approach borrowing from network routing security for agent authorization", "mo": 4, "mon": "Strong momentum given critical need for AI agent security and policy enforcement", "r": 5, "rn": "Extremely relevant as autonomous AI agents require robust authorization and policy frameworks", "c": ["Policy/governance", "Agent identity/auth", "AI safety/alignment"]}


draft_name: draft-araut-oauth-transaction-tokens-for-agents
prompt_hash: 44e3fdc6c169da28
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T09:58:28.147862+00:00
response_json:
  {"name": "draft-araut-oauth-transaction-tokens-for-agents", "s": "Extends OAuth Transaction Tokens to support agent context propagation in multi-agent workflows. Defines agent identification and principal representation for enhanced access control in agent-based systems.", "n": 3, "nn": "Logical extension of existing OAuth mechanisms to agent contexts, building on established patterns", "m": 4, "mn": "Builds on mature OAuth foundation with clear technical specification for agent scenarios", "o": 3, "on": "Some overlap with general agent auth but specific focus on transaction token extension", "mo": 4, "mon": "High momentum due to OAuth adoption and growing need for agent authorization", "r": 4, "rn": "Very relevant for enterprise agent deployments requiring OAuth integration", "c": ["Agent identity/auth", "A2A protocols", "Policy/governance"]}


draft_name: draft-dembowski-agentledger-proof-of-behavior
prompt_hash: 55aa51bd44500fac
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T09:58:28.161892+00:00
response_json:
  {"name": "draft-dembowski-agentledger-proof-of-behavior", "s": "Defines Proof-of-Behavior protocol for tamper-evident audit trails and pre-execution policy enforcement in AI agents. Provides signed receipts, hash-chains, and policy gates for verifiable agent behavior.", "n": 4, "nn": "Novel focus on behavioral proofs and pre-execution enforcement with blockchain-inspired audit mechanisms", "m": 2, "mn": "Early stage protocol definition, needs more implementation details and real-world validation", "o": 2, "on": "Unique audit-focused approach with minimal overlap to other agent governance mechanisms", "mo": 4, "mon": "Strong momentum due to critical need for AI agent accountability and auditability", "r": 5, "rn": "Extremely relevant for enterprise and regulated environments requiring agent accountability", "c": ["AI safety/alignment", "Policy/governance", "Agent identity/auth"]}


draft_name: draft-aevum-agentcard
prompt_hash: 8bf9a870252694ad
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T09:58:28.173145+00:00
response_json:
  {"name": "draft-aevum-agentcard", "s": "Defines lightweight JSON format for agents to declare identity, capabilities, and pricing in framework-neutral manner. Enables interoperability between different agent frameworks like LangChain, CrewAI, and AutoGen.", "n": 3, "nn": "Practical interoperability solution with physics-based pricing model, though concept is somewhat expected", "m": 3, "mn": "Clear data format specification but needs broader ecosystem adoption for full validation", "o": 3, "on": "Some overlap with agent discovery mechanisms but unique focus on cross-framework interop", "mo": 3, "mon": "Moderate momentum as multi-framework interop becomes more important", "r": 4, "rn": "Highly relevant for heterogeneous agent ecosystems requiring standardized capability exchange", "c": ["Data formats/interop", "Agent identity/auth", "A2A protocols", "Agent discovery/reg"]}


draft_name: draft-chen-oauth-agent-revocation
prompt_hash: 24820b84eff57a3f
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T09:58:49.402906+00:00
response_json:
  {"name": "draft-chen-oauth-agent-revocation", "s": "Extends OAuth 2.0 token revocation with agent-specific batch operations, cascade propagation, and audit trails. Addresses limitations of single-token revocation for autonomous agent networks.", "n": 3, "nn": "Incremental extension to existing OAuth revocation, but agent-specific batch operations are new", "m": 4, "mn": "Well-defined extension to established OAuth framework with clear technical specifications", "o": 2, "on": "Builds on RFC 7009 but addresses distinct agent authorization use cases", "mo": 3, "mon": "OAuth extensions have implementation momentum, agent focus is emerging", "r": 4, "rn": "High relevance as agent authorization becomes critical infrastructure need", "c": ["Agent identity/auth", "A2A protocols"]}


draft_name: draft-drake-agent-identity-registry
prompt_hash: 06aca56b7a19a036
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T09:58:49.427012+00:00
response_json:
  {"name": "draft-drake-agent-identity-registry", "s": "Defines federated registry architecture for persistent, hardware-anchored identities for autonomous entities. Uses TPM/secure hardware to provide Sybil resistance through physical device requirements.", "n": 5, "nn": "Novel approach combining hardware anchoring with federated identity for autonomous entities", "m": 4, "mn": "Comprehensive 58-page specification with detailed architecture modeled on proven DNS system", "o": 1, "on": "Unique approach to agent identity with hardware anchoring for Sybil resistance", "mo": 4, "mon": "Addresses fundamental infrastructure need with backing from hardware security trends", "r": 5, "rn": "Extremely relevant - solves core identity problem for autonomous entity ecosystem", "c": ["Agent identity/auth", "Agent discovery/reg", "Policy/governance"]}


draft_name: draft-nelson-agent-delegation-receipts
prompt_hash: 237c53ded4becf59
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T09:58:49.444665+00:00
response_json:
  {"name": "draft-nelson-agent-delegation-receipts", "s": "Defines cryptographic authorization protocol where users sign delegation receipts before agent execution. Uses append-only logs and removes operators as trusted third parties.", "n": 4, "nn": "Novel cryptographic approach to agent authorization with strong non-repudiation properties", "m": 4, "mn": "Detailed 45-page specification with clear cryptographic primitives and protocols", "o": 2, "on": "Complementary to other agent auth approaches, focuses on delegation receipts specifically", "mo": 3, "mon": "Growing interest in cryptographic accountability for AI agents", "r": 4, "rn": "High relevance for accountable AI agent deployments and liability concerns", "c": ["Agent identity/auth", "AI safety/alignment", "Human-agent interaction"]}


draft_name: draft-hori-agent-quality-graph
prompt_hash: 19c6ab02b326f4fc
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T09:58:49.459303+00:00
response_json:
  {"name": "draft-hori-agent-quality-graph", "s": "Applies graph-based ranking algorithms to agent delegation networks for trustworthiness scoring. Uses PageRank-like approach where highly-delegated agents receive higher trust scores.", "n": 4, "nn": "Creative application of web ranking algorithms to agent trustworthiness evaluation", "m": 3, "mn": "Concise 9-page specification with clear algorithm definition but may need more implementation detail", "o": 2, "on": "Unique graph-based approach to agent quality, complements rather than overlaps other drafts", "mo": 3, "mon": "Reputation systems for agents gaining attention, but still early adoption phase", "r": 4, "rn": "High relevance as agent ecosystem needs trustworthiness metrics for delegation decisions", "c": ["Agent discovery/reg", "A2A protocols", "AI safety/alignment"]}


draft_name: draft-mcgraw-httpapi-agent-budget
prompt_hash: fcebf80913fd6a71
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T09:58:49.469980+00:00
response_json:
  {"name": "draft-mcgraw-httpapi-agent-budget", "s": "Introduces HTTP 427 status code and Budget authentication scheme for agents authorized to spend resources. Uses post-quantum signatures for budget attestations with settlement rail integration.", "n": 4, "nn": "Novel HTTP extension addressing agent spending authorization with post-quantum cryptography", "m": 4, "mn": "Comprehensive 28-page specification with detailed HTTP protocol extensions and crypto requirements", "o": 1, "on": "Unique focus on budget authorization for spending agents, distinct from other approaches", "mo": 3, "mon": "Economic agent applications emerging, post-quantum crypto adoption growing", "r": 4, "rn": "High relevance as financial agent applications require robust spending authorization", "c": ["Agent identity/auth", "Data formats/interop", "Human-agent interaction"]}


draft_name: draft-jimenez-agent-directory
prompt_hash: 2244fb14c75c7314
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T09:59:09.472415+00:00
response_json:
  {"name": "draft-jimenez-agent-directory", "s": "Defines an Agent Directory service for agent registration and discovery, adapting IoT's CoRE Resource Directory to software agents. Uses HTTP/JSON and provides the foundational service for finding agents by capability.", "n": 3, "nn": "Solid adaptation of existing RFC 9176 to agent context, but incremental innovation", "m": 4, "mn": "Well-structured specification with clear protocol definitions and mature technical approach", "o": 2, "on": "Complements other discovery drafts but focuses on core directory service", "mo": 3, "mon": "Addresses fundamental need but may face competition from other discovery approaches", "r": 4, "rn": "Essential infrastructure component for agent ecosystems", "c": ["Agent discovery/reg", "Data formats/interop"]}


draft_name: draft-agentir-aepp
prompt_hash: c2d86644cb75b5ed
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T09:59:09.499837+00:00
response_json:
  {"name": "draft-agentir-aepp", "s": "Defines Agent Execution and Payment Protocol with three-phase model and on-chain payment verification. Claims live implementation serving 1.8M agents with zero per-agent fees.", "n": 4, "nn": "Novel combination of execution and payment with cryptographic receipts", "m": 4, "mn": "Concrete implementation claims and reference to live system suggest high maturity", "o": 1, "on": "Unique focus on execution and payment layer above existing schemes", "mo": 4, "mon": "Strong momentum indicated by large-scale deployment claims", "r": 5, "rn": "Critical missing piece for commercial agent interactions", "c": ["A2A protocols", "Agent identity/auth", "Policy/governance"]}


draft_name: draft-somoza-atn-agent-trust-negotiation
prompt_hash: 4fbf89f91db74cf6
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T09:59:09.512509+00:00
response_json:
  {"name": "draft-somoza-atn-agent-trust-negotiation", "s": "Defines Agent Trust Negotiation protocol for capability delegation and provenance binding. Sits above DNS-based discovery to establish verifiable working agreements between agents.", "n": 4, "nn": "Comprehensive trust framework addressing authority, delegation, and provenance", "m": 3, "mn": "Complex 48-page specification suggests thoroughness but may indicate immaturity", "o": 2, "on": "Complements discovery protocols but focuses on trust layer", "mo": 3, "mon": "Important problem space but complex solution may limit adoption", "r": 5, "rn": "Trust negotiation is critical for autonomous agent interactions", "c": ["Agent identity/auth", "AI safety/alignment", "Policy/governance"]}


draft_name: draft-xu-efficient-agent-discovery-profile
prompt_hash: 39c58bdfe74e645b
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T09:59:09.526144+00:00
response_json:
  {"name": "draft-xu-efficient-agent-discovery-profile", "s": "Defines metadata and query profile for agent discovery using structured tags, semantic retrieval, and fine-grained matching. Standardizes interoperable protocol surface without mandating specific ML models.", "n": 3, "nn": "Good engineering approach to discovery interoperability, but evolutionary", "m": 4, "mn": "Well-balanced specification that avoids over-specification while ensuring interop", "o": 3, "on": "Overlaps with other discovery drafts but focuses on metadata standardization", "mo": 3, "mon": "Practical approach may gain traction, but faces competition from simpler solutions", "r": 4, "rn": "Efficient discovery is essential for agent ecosystem scalability", "c": ["Agent discovery/reg", "Data formats/interop", "ML traffic mgmt"]}


draft_name: draft-xu-agentic-overlay-network-architecture
prompt_hash: 21172ec0d4f1c3b1
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T09:59:09.537430+00:00
response_json:
  {"name": "draft-xu-agentic-overlay-network-architecture", "s": "Describes architecture for agentic overlay networks with separated control and runtime planes. Defines roles for management nodes, registries, discovery services, and enterprise hubs without replacing Internet protocols.", "n": 4, "nn": "Comprehensive network architecture approach addressing multiple system roles", "m": 3, "mn": "Architectural document with good separation of concerns but implementation complexity unclear", "o": 4, "on": "Significant overlap with discovery and registry concepts from other drafts", "mo": 3, "mon": "Ambitious scope may limit adoption compared to more focused approaches", "r": 4, "rn": "Network architecture guidance needed for large-scale agent deployments", "c": ["Autonomous netops", "Agent discovery/reg", "Policy/governance", "Data formats/interop"]}


draft_name: draft-yu-ai-agent-ipv6-networking-considerations
prompt_hash: b610136f62668698
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T09:59:26.964309+00:00
response_json:
  {"name": "draft-yu-ai-agent-ipv6-networking-considerations", "s": "Defines IPv6 networking considerations for AI agent communication including stable identifiers, forwarding policies, and network telemetry. Focuses on network-layer support after agent discovery rather than defining new protocols.", "n": 3, "nn": "Novel application of IPv6/SRv6 to agent networking but builds on existing concepts", "m": 4, "mn": "Well-structured with clear scope and practical considerations", "o": 2, "on": "Complements other agent protocols rather than overlapping", "mo": 4, "mon": "Addresses practical networking needs for agent deployments", "r": 4, "rn": "Highly relevant as agents need robust networking infrastructure", "c": ["A2A protocols", "Agent identity/auth", "Data formats/interop"]}


draft_name: draft-morrison-agent-channel-fan-out
prompt_hash: 52c327168a773524
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T09:59:26.989156+00:00
response_json:
  {"name": "draft-morrison-agent-channel-fan-out", "s": "Specifies an application-layer frame format for identity-keyed fan-out delivery to concurrent agent sessions. Defines transport envelope with provenance and Server-Sent Events delivery model.", "n": 4, "nn": "Novel fan-out delivery model with identity-based scoping for agent messaging", "m": 4, "mn": "Detailed specification with clear frame format and delivery semantics", "o": 2, "on": "Builds on existing handle namespaces but introduces new messaging pattern", "mo": 3, "mon": "Addresses specific agent communication pattern but narrow use case", "r": 4, "rn": "Relevant for multi-session agent coordination scenarios", "c": ["A2A protocols", "Agent identity/auth", "Data formats/interop"]}


draft_name: draft-kroehl-agentic-trust-aae
prompt_hash: 58774638c0cb549a
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T09:59:27.003449+00:00
response_json:
  {"name": "draft-kroehl-agentic-trust-aae", "s": "Defines Agent Authorization Envelope (AAE) with machine-evaluable authorization semantics for autonomous agents. Includes MANDATE, CONSTRAINTS, and VALIDITY blocks using DIDs and VCs.", "n": 5, "nn": "Novel authorization model specifically designed for autonomous agent semantics", "m": 5, "mn": "Comprehensive specification addressing real production needs with clear structure", "o": 1, "on": "Unique approach to agent authorization beyond traditional OAuth/API keys", "mo": 5, "mon": "Addresses critical production-scale autonomous agent authorization needs", "r": 5, "rn": "Extremely relevant for autonomous agent deployments in critical domains", "c": ["Agent identity/auth", "Policy/governance", "Data formats/interop"]}


draft_name: draft-yu-agent-identifier-rdap
prompt_hash: 305ae2bc7a00abf5
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T09:59:27.016054+00:00
response_json:
  {"name": "draft-yu-agent-identifier-rdap", "s": "Defines an RDAP profile for querying Agent identifier registration data including locators, gateways, and operational metadata. Reuses existing RDAP infrastructure for agent identity queries.", "n": 3, "nn": "Practical application of RDAP to agent identifiers, evolutionary approach", "m": 4, "mn": "Clear profile definition building on established RDAP framework", "o": 2, "on": "Complements agent identity systems without major overlap", "mo": 4, "mon": "Addresses practical need for agent identifier metadata access", "r": 4, "rn": "Important for agent identity infrastructure and operations", "c": ["Agent identity/auth", "Agent discovery/reg", "Data formats/interop"]}


draft_name: draft-chang-delta1-settlement
prompt_hash: fcee42c5ec22dc07
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T09:59:27.028464+00:00
response_json:
  {"name": "draft-chang-delta1-settlement", "s": "Defines Delta-1, a SCITT profile for binary settlement receipts proving AI agent decisions met accountability conditions. Targets regulated industries with verification requirements.", "n": 4, "nn": "Novel application of SCITT to AI decision accountability with binary settlement model", "m": 4, "mn": "Well-defined profile with clear accountability conditions and verification model", "o": 2, "on": "Specialized application of SCITT framework to AI domain", "mo": 3, "mon": "Addresses compliance needs but limited to specific regulated use cases", "r": 4, "rn": "Highly relevant for regulated AI deployments requiring accountability", "c": ["Policy/governance", "AI safety/alignment", "Data formats/interop"]}


draft_name: draft-aevum-wlp
prompt_hash: 2e75a02ed30b43ba
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:09:01.003426+00:00
response_json:
  {"name": "draft-aevum-wlp", "s": "Defines WLP v0 protocol for translating AI hypotheses into machine-executable wet-lab instructions. Provides royalty-free specification with Rust and Python reference implementations for longevity research automation.", "n": 4, "nn": "Novel application of AI-to-automation translation specifically for wet-lab protocols in longevity research", "m": 3, "mn": "Early version (v0) but includes reference implementations in multiple languages", "o": 2, "on": "Mentions SCP analogue but appears to be first wet-lab specific protocol in this domain", "mo": 3, "mon": "Apache-2.0 licensing and multiple implementations suggest moderate adoption potential", "r": 3, "rn": "Highly relevant for scientific automation but narrow domain focus limits broader applicability", "c": ["Data formats/interop", "Human-agent interaction", "Other AI/agent"]}


draft_name: draft-baur-pap
prompt_hash: e603c40abb905da3
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:09:01.027343+00:00
response_json:
  {"name": "draft-baur-pap", "s": "Specifies Principal Agent Protocol for human-controlled agent-to-agent transactions with cryptographic trust model. Establishes hierarchical delegation, context minimization, and session ephemerality without requiring central infrastructure.", "n": 5, "nn": "Comprehensive cryptographic protocol addressing human-controlled agent transactions with novel trust model", "m": 4, "mn": "Substantial 91-page specification suggests mature development and thorough consideration", "o": 3, "on": "Some overlap with agent identity/auth space but unique human-principal-rooted approach", "mo": 4, "mon": "No-infrastructure-required design and comprehensive scope suggest strong adoption potential", "r": 5, "rn": "Addresses fundamental trust and delegation issues critical for multi-agent systems", "c": ["A2A protocols", "Agent identity/auth", "Policy/governance"]}


draft_name: draft-tonyai-a2a-trust
prompt_hash: ff17fed1c2cfd6da
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:09:01.047694+00:00
response_json:
  {"name": "draft-tonyai-a2a-trust", "s": "Defines trust model for agent-to-agent interactions including verifiable identities, spawn chain validation, and cross-organizational authorization. Applies existing PKI and OAuth patterns to agent provenance problems.", "n": 3, "nn": "Applies established identity patterns to agent provenance rather than introducing novel approaches", "m": 4, "mn": "Well-structured specification with clear scope boundaries and established cryptographic foundations", "o": 4, "on": "Significant overlap with PAP draft in agent trust and identity space", "mo": 3, "mon": "Building on established standards provides implementation path but may face competition from PAP", "r": 4, "rn": "Addresses core agent identity and trust issues essential for multi-agent deployments", "c": ["A2A protocols", "Agent identity/auth", "Policy/governance"]}


draft_name: draft-jovancevic-vdac
prompt_hash: 1e34c2bd14861f39
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:09:01.058381+00:00
response_json:
  {"name": "draft-jovancevic-vdac", "s": "Specifies protocol for cryptographically verifiable bilateral agreements between content publishers and automated agents for data access. Defines mechanism for publishing offers, contract signing, and binding individual requests to agreed terms.", "n": 4, "nn": "Novel approach to bilateral agent-publisher agreements with cryptographic verification", "m": 4, "mn": "References companion specifications suggesting mature ecosystem development", "o": 2, "on": "Unique focus on publisher-agent contracts with minimal overlap to other drafts", "mo": 4, "mon": "Part of broader specification ecosystem (VICDM, SAIP) indicating coordinated development effort", "r": 4, "rn": "Addresses critical data access and licensing issues for automated agents", "c": ["Agent identity/auth", "Policy/governance", "Data formats/interop"]}


draft_name: draft-sato-soos-cap
prompt_hash: a2855fae29eb6c1b
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:09:01.069390+00:00
response_json:
  {"name": "draft-sato-soos-cap", "s": "Specifies kernel-enforced prohibition architecture for agentic AI systems with three-tier prohibition model. Evaluates actions at both agent and human principal levels with jurisdictional conflict resolution mechanisms.", "n": 5, "nn": "Novel kernel-enforced prohibition architecture with dual evaluation points and jurisdictional conflict resolution", "m": 4, "mn": "Comprehensive specification with clear tier model and references to companion mechanisms", "o": 2, "on": "Unique safety-focused approach with minimal direct overlap to other protocol drafts", "mo": 4, "mon": "Addresses critical safety concerns and references companion specifications indicating systematic development", "r": 5, "rn": "Essential for safe deployment of agentic systems with clear regulatory and safety implications", "c": ["AI safety/alignment", "Policy/governance", "Human-agent interaction"]}


draft_name: draft-sato-soos-gar
prompt_hash: 7ec5948399789b0d
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:09:22.239406+00:00
response_json:
  {"name": "draft-sato-soos-gar", "s": "Defines the Governance Audit Record (GAR) architecture for creating verifiable audit trails of AI agent sessions. Provides audit types, alert systems, and regulatory compliance packages to prove governance adherence.", "n": 4, "nn": "Novel focus on regulatory audit trails specifically for agentic AI systems", "m": 3, "mn": "Well-structured with clear audit categories but relies on referenced companion drafts", "o": 2, "on": "Some overlap with general AI governance but focused audit architecture is distinctive", "mo": 3, "mon": "Part of coordinated SOOS framework suite which suggests organized development effort", "r": 4, "rn": "High relevance as regulatory compliance becomes critical for AI agent deployment", "c": ["Policy/governance", "Agent identity/auth"]}


draft_name: draft-vandemeent-jis-identity
prompt_hash: 3afe05c083e95e64
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:09:22.263535+00:00
response_json:
  {"name": "draft-vandemeent-jis-identity", "s": "Specifies JIS identity standard with dual-keypair model separating human-device binding from device authentication. Includes trust handshake protocol and human-readable context layer for agent interactions.", "n": 4, "nn": "Innovative dual-keypair approach and human-readable context layer (Humotica)", "m": 4, "mn": "Comprehensive 25-page specification with clear integration points to other protocols", "o": 3, "on": "Some overlap with general identity protocols but agent-specific features are novel", "mo": 4, "mon": "Strong integration story with multiple referenced protocols suggests active ecosystem", "r": 5, "rn": "Identity and trust are fundamental requirements for any agent system deployment", "c": ["Agent identity/auth", "A2A protocols", "Human-agent interaction"]}


draft_name: draft-coetzee-oauth-spt-txn
prompt_hash: d6fd15f6da087b1f
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:09:22.275913+00:00
response_json:
  {"name": "draft-coetzee-oauth-spt-txn", "s": "Extends OAuth transaction tokens with Capability Acquisition Tokens (CATs) for policy-bound authorization in agent systems. Provides cryptographic guarantees for human-origin identity across delegation chains.", "n": 4, "nn": "Novel extension of RFC 9700 with capability-scoped tokens for agent authorization", "m": 4, "mn": "Builds on established OAuth/transaction token foundation with detailed 26-page specification", "o": 3, "on": "Extends existing OAuth work but agent-specific capability binding is distinctive", "mo": 3, "mon": "Leverages established OAuth ecosystem which aids adoption potential", "r": 5, "rn": "Authorization is critical for agent systems, especially in regulated environments", "c": ["Agent identity/auth", "Policy/governance", "A2A protocols"]}


draft_name: draft-howard-virp
prompt_hash: 1ce8ec99ce85f3a4
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:09:40.671252+00:00
response_json:
  {"name": "draft-howard-virp", "s": "VIRP defines a cryptographic trust framework for verifying observations and actions in automated network infrastructure operations. It addresses risks like fabricated telemetry and unauthorized changes through seven trust primitives and dual-signature schemes.", "n": 4, "nn": "Novel integration of cryptographic verification with network operations automation", "m": 4, "mn": "Comprehensive spec with live implementation against real infrastructure", "o": 2, "on": "Some overlap with agent auth concepts but unique infrastructure focus", "mo": 4, "mon": "Strong technical foundation with proven multi-vendor implementation", "r": 5, "rn": "Critical for secure autonomous network operations as infrastructure becomes agent-driven", "c": ["Autonomous netops", "Agent identity/auth", "AI safety/alignment"]}


draft_name: draft-westerbeck-reason-protocol
prompt_hash: 0f287f11e78504bc
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:09:40.687747+00:00
response_json:
  {"name": "draft-westerbeck-reason-protocol", "s": "Defines reason:// URI scheme for storing compressed reasoning artifacts from autonomous agents. Artifacts enter registry through competitive arbitration and use non-invertible structural representation.", "n": 5, "nn": "Completely novel approach to reasoning artifact registry with competitive validation", "m": 3, "mn": "Well-defined protocol but limited implementation details provided", "o": 1, "on": "Unique concept with no significant overlap to known protocols", "mo": 3, "mon": "Interesting concept but needs broader community validation", "r": 4, "rn": "Highly relevant for distributed agent networks and reasoning transparency", "c": ["Agent discovery/reg", "Data formats/interop", "A2A protocols"]}


draft_name: draft-jiang-intent-security
prompt_hash: 5c42b78f304eec74
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:09:40.701238+00:00
response_json:
  {"name": "draft-jiang-intent-security", "s": "Provides security analysis for intent-based requests in agentic systems, focusing on multi-hop processing risks. Addresses tampering, privilege escalation, and intent drift through constraint validation.", "n": 3, "nn": "Systematic security analysis approach for intent systems is valuable", "m": 3, "mn": "Good analysis framework but lacks concrete implementation guidance", "o": 3, "on": "Some overlap with VIRP's intent gating concepts", "mo": 3, "mon": "Important topic but needs more concrete solutions", "r": 4, "rn": "Essential for secure deployment of intent-based agent systems", "c": ["AI safety/alignment", "Policy/governance", "Agent identity/auth"]}


draft_name: draft-benzing-accp
prompt_hash: eea0d1eaeed58567
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:09:40.713742+00:00
response_json:
  {"name": "draft-benzing-accp", "s": "ACCP defines semantic encoding for AI agent communication with 60-90% token reduction. Includes compact message format, intent ontology, and state compression for agentic harnesses.", "n": 4, "nn": "Significant efficiency gains through semantic compression approach", "m": 4, "mn": "Complete protocol spec with clear performance metrics", "o": 2, "on": "Complements existing protocols like MCP/A2A rather than competing", "mo": 4, "mon": "Strong efficiency value proposition for agent communication", "r": 5, "rn": "Critical for scalable agent communication as systems grow in complexity", "c": ["A2A protocols", "Data formats/interop", "ML traffic mgmt"]}


draft_name: draft-reilly-plpes
prompt_hash: ebf577c8dbe82dc2
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:09:40.727135+00:00
response_json:
  {"name": "draft-reilly-plpes", "s": "PLPES provides formal specification framework for prompts including classification, versioning, and security hardening. Defines Prompt Descriptor Object and five-tier taxonomy for standardized prompt management.", "n": 4, "nn": "First formal standardization approach for prompt engineering protocols", "m": 4, "mn": "Comprehensive specification with clear implementation path", "o": 2, "on": "References REM Protocol but otherwise unique domain", "mo": 4, "mon": "Addresses critical gap in AI system standardization", "r": 5, "rn": "Essential for enterprise AI deployment and prompt security", "c": ["AI safety/alignment", "Data formats/interop", "Policy/governance"]}


draft_name: draft-hood-independent-agtp
prompt_hash: 9c238904eb36adb3
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:10:01.567663+00:00
response_json:
  {"name": "draft-hood-independent-agtp", "s": "Defines AGTP, a dedicated application-layer protocol for AI agent traffic that replaces HTTP with runtime contract negotiation. Includes agent identity mechanisms and semantic vocabulary for agent-to-agent communication.", "n": 4, "nn": "Novel runtime contract negotiation substrate approach with dedicated transport protocol for agents", "m": 4, "mn": "Well-developed with IANA registrations, formal URI grammar, and companion specifications", "o": 2, "on": "Unique transport-layer approach, minimal overlap with existing agent messaging protocols", "mo": 4, "mon": "Strong momentum with version 07, IANA assignments, and extensive companion spec ecosystem", "r": 5, "rn": "Highly relevant as foundational transport infrastructure for agent systems at scale", "c": ["A2A protocols", "ML traffic mgmt", "Agent identity/auth", "Data formats/interop"]}


draft_name: draft-hood-agtp-merchant-identity
prompt_hash: 22793af4b42ffec5
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:10:01.602301+00:00
response_json:
  {"name": "draft-hood-agtp-merchant-identity", "s": "Extends AGTP with merchant identity verification mechanisms including Merchant Manifest Documents and Trust Tiers. Addresses the merchant side verification gap in agent commerce transactions.", "n": 3, "nn": "Complements AGTP with merchant-side identity, filling important verification gap", "m": 3, "mn": "Mature extension of AGTP but dependent on base protocol adoption", "o": 1, "on": "Unique focus on merchant identity within AGTP ecosystem", "mo": 3, "mon": "Moderate momentum as AGTP companion spec, aligned with base protocol development", "r": 4, "rn": "Very relevant for commercial agent deployments requiring trusted merchant verification", "c": ["A2A protocols", "Agent identity/auth", "Policy/governance"]}


draft_name: draft-c4tz-marc
prompt_hash: c3232ad38205e7da
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:10:01.616795+00:00
response_json:
  {"name": "draft-c4tz-marc", "s": "Defines MARC, a vendor-neutral profile for control and uncertainty disclosure in generative models and agents. Focuses on observable semantics for confidence and capability assessment.", "n": 4, "nn": "Novel separation of pre-decision capability from post-decision confidence with bounded action set", "m": 3, "mn": "Well-structured but implementation adoption unclear across diverse vendor ecosystem", "o": 2, "on": "Unique focus on uncertainty disclosure, minimal overlap with transport protocols", "mo": 3, "mon": "Moderate momentum, addresses important reliability concerns but vendor adoption uncertain", "r": 5, "rn": "Extremely relevant for safe and reliable agent deployments across all use cases", "c": ["AI safety/alignment", "Model serving/inference", "Policy/governance", "Data formats/interop"]}


draft_name: draft-stone-adrp
prompt_hash: 91311f3e474fdf10
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:10:01.642791+00:00
response_json:
  {"name": "draft-stone-adrp", "s": "Defines dispute resolution protocol for agent-to-agent transactions, separating cryptographic proof from contractual satisfaction. Includes arbitration mechanisms and legal frameworks.", "n": 4, "nn": "Novel bifurcation of cryptographic vs semantic disputes with arbitration mandate integration", "m": 4, "mn": "Sophisticated legal framework with FAA compliance and comprehensive dispute taxonomy", "o": 3, "on": "Some overlap with ATXN and commercial transaction protocols", "mo": 3, "mon": "Good momentum as part of Stone transaction protocol suite", "r": 4, "rn": "Critical for commercial agent deployments requiring legal enforceability", "c": ["A2A protocols", "Policy/governance", "Agent identity/auth"]}


draft_name: draft-stone-atxn
prompt_hash: 4c6a8b28a92a6db5
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:10:01.657446+00:00
response_json:
  {"name": "draft-stone-atxn", "s": "Establishes canonical machine-checkable primitives for agent-to-agent transactions with cryptographic signing and existing payment rail integration. Designed for legal compliance without requiring agent personhood recognition.", "n": 4, "nn": "Comprehensive transaction primitive design bridging existing payment infrastructure with agent commerce", "m": 4, "mn": "Mature specification with multiple payment rail profiles and legal framework integration", "o": 3, "on": "Overlaps with payment protocols but unique agent-focused transaction model", "mo": 4, "mon": "Strong momentum with comprehensive companion specification ecosystem", "r": 5, "rn": "Foundational for any commercial agent-to-agent transaction system", "c": ["A2A protocols", "Agent identity/auth", "Policy/governance", "Data formats/interop"]}


draft_name: draft-deforth-arp-reasoning-protocol
prompt_hash: 84c06529038c9c78
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:10:24.227379+00:00
response_json:
  {"name": "draft-deforth-arp-reasoning-protocol", "s": "Defines ARP v2.0, a machine-readable protocol for entities to publish context, corrections, and expertise directly to AI agents via REST APIs with cryptographic attestation. Extends static file approaches with bidirectional feedback, DID anchoring, and agent-to-agent trust handshakes.", "n": 4, "nn": "Novel approach to structured AI agent communication with cryptographic trust, though builds on existing web conventions", "m": 4, "mn": "Well-developed with comprehensive API design, crypto attestation, and internationalization support", "o": 2, "on": "Some overlap with web metadata standards but unique focus on AI agent reasoning", "mo": 4, "mon": "Strong practical applicability for current AI agent deployment challenges", "r": 5, "rn": "Highly relevant for modern AI systems needing structured, verifiable information sources", "c": ["A2A protocols", "Agent discovery/reg", "Data formats/interop", "Policy/governance"]}


draft_name: draft-mw-oauth-actor-chain
prompt_hash: 7a71820dde354f05
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:10:24.252407+00:00
response_json:
  {"name": "draft-mw-oauth-actor-chain", "s": "Extends OAuth 2.0 Token Exchange with six profiles for cryptographically verifiable actor chains in multi-hop service workflows. Preserves delegation-path continuity across successive token exchanges with varying disclosure and verification levels.", "n": 4, "nn": "Novel extension to OAuth for multi-hop agent workflows, addressing gap in RFC8693", "m": 5, "mn": "Highly mature with six well-defined profiles and comprehensive security considerations", "o": 3, "on": "Builds heavily on OAuth 2.0/RFC8693 but addresses previously unspecified delegation chains", "mo": 4, "mon": "Strong momentum given OAuth adoption and multi-service agent workflow needs", "r": 5, "rn": "Critical for secure agent-to-agent authentication in distributed systems", "c": ["Agent identity/auth", "A2A protocols", "Policy/governance"]}


draft_name: draft-bates-atp
prompt_hash: 55cbf237e8ba7ac4
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:10:24.288674+00:00
response_json:
  {"name": "draft-bates-atp", "s": "Defines Agent Transaction Protocol using cryptographically verifiable DAG model for tamper-evident causality and auditable lineage. Lightweight, transport-independent protocol for accountability across agentic systems.", "n": 4, "nn": "Novel application of DAG-based cryptographic verification to agent transaction history", "m": 4, "mn": "Well-developed protocol design with clear cryptographic foundations", "o": 2, "on": "Unique focus on agent transaction lineage, minimal overlap with existing protocols", "mo": 4, "mon": "Strong relevance for audit and compliance requirements in agent systems", "r": 5, "rn": "Essential for accountability and provenance in autonomous agent operations", "c": ["Agent identity/auth", "Policy/governance", "Data formats/interop"]}


draft_name: draft-sato-soos-hem
prompt_hash: 5c7ac287ffb7887d
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:10:24.306228+00:00
response_json:
  {"name": "draft-sato-soos-hem", "s": "Specifies Human Escalation Mechanism as a kernel-level protocol for AI agent escalation to human oversight. Defines HEM_PENDING state, structured escalation requests, and five decision types with policy rationale.", "n": 5, "nn": "Highly novel kernel-level approach to human-agent escalation, not just application-layer", "m": 4, "mn": "Well-specified with clear state definitions and policy integration via Cedar", "o": 1, "on": "Unique kernel-level escalation protocol, no significant overlap with existing standards", "mo": 5, "mon": "Very high momentum due to AI Act compliance requirements and safety concerns", "r": 5, "rn": "Critical for regulatory compliance and safe deployment of autonomous AI systems", "c": ["Human-agent interaction", "AI safety/alignment", "Policy/governance"]}


draft_name: draft-morrison-substrate-observation
prompt_hash: 69adfe30e1e5ad83
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:10:24.321938+00:00
response_json:
  {"name": "draft-morrison-substrate-observation", "s": "Articulates anti-pattern in cross-tool agent coordination and proposes substrate-observation alternative. Informational memo arguing against envelope coordination protocols in favor of substrate-physics primitives.", "n": 3, "nn": "Interesting architectural perspective but more philosophical than protocol-defining", "m": 2, "mn": "Limited maturity as informational anti-pattern description, relies on unpublished companion memos", "o": 2, "on": "Unique architectural perspective with minimal overlap to existing coordination protocols", "mo": 2, "mon": "Lower momentum due to informational nature and dependency on unpublished work", "r": 3, "rn": "Moderate relevance for system architects but lacks concrete implementation guidance", "c": ["A2A protocols", "Agent identity/auth", "Data formats/interop"]}


draft_name: draft-hillier-certisyn-ai-governance-verified
prompt_hash: fb4843bd8340d6d6
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:10:44.058542+00:00
response_json:
  {"name": "draft-hillier-certisyn-ai-governance-verified", "s": "Defines a cryptographic verification standard for AI governance in regulated industries with maturity levels and control areas. Creates verifiable attestations that complement existing frameworks like ISO/IEC 42001.", "n": 4, "nn": "Novel cryptographic approach to AI governance verification with specific VRO framework", "m": 4, "mn": "Well-structured with defined control areas, maturity levels, and cryptographic requirements", "o": 2, "on": "Limited overlap - governance verification is underexplored in current standards", "mo": 4, "mon": "Addresses critical regulatory compliance needs for AI deployment", "r": 5, "rn": "Highly relevant for enterprise AI adoption and regulatory compliance", "c": ["Policy/governance", "AI safety/alignment", "Agent identity/auth"]}


draft_name: draft-helmprotocol-tttps
prompt_hash: 356eccd5054cfc4f
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:10:44.081994+00:00
response_json:
  {"name": "draft-helmprotocol-tttps", "s": "Extends TLS 1.3 with cryptographically verifiable temporal ordering via Proof-of-Time to address strategic channel controller problems. Particularly relevant for autonomous AI agents with symmetric reaction times.", "n": 5, "nn": "Highly novel - introduces new problem class (SCCP) and O(1) Byzantine temporal elimination", "m": 4, "mn": "Comprehensive with formal theorems and detailed cryptographic pipeline", "o": 1, "on": "Unique approach - no existing protocols provide cryptographic pre-ingestion temporal defense", "mo": 3, "mon": "Addresses emerging need but requires significant infrastructure changes", "r": 4, "rn": "Very relevant for high-frequency agent interactions and fair ordering", "c": ["A2A protocols", "Agent identity/auth", "Other AI/agent"]}


draft_name: draft-teodor-pilot-problem-statement
prompt_hash: 4f2129142841e1a1
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:10:44.095511+00:00
response_json:
  {"name": "draft-teodor-pilot-problem-statement", "s": "Identifies the problem space for network-layer infrastructure for autonomous agents. Current agent communication relies on application-layer protocols over HTTP without network-layer identity or addressing.", "n": 3, "nn": "Good problem identification for underserved area of agent networking", "m": 3, "mn": "Solid problem statement but preliminary - sets foundation for solutions", "o": 2, "on": "Some overlap with general networking concerns but agent-specific focus is unique", "mo": 4, "mon": "Clear need as agent deployment scales beyond current web infrastructure", "r": 4, "rn": "Highly relevant foundation for agent networking infrastructure", "c": ["A2A protocols", "Agent identity/auth", "Autonomous netops"]}


draft_name: draft-teodor-pilot-protocol
prompt_hash: 02dbf4e40e3dda13
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:10:44.114991+00:00
response_json:
  {"name": "draft-teodor-pilot-protocol", "s": "Specifies an overlay network providing virtual addresses, transport, and encrypted tunnels for AI agents. Operates beneath application protocols to give agents first-class network citizenship.", "n": 4, "nn": "Novel agent-specific overlay network design with virtual addressing", "m": 4, "mn": "Comprehensive protocol specification with transport and security features", "o": 2, "on": "Some overlap with general overlay networks but agent-specific design is unique", "mo": 4, "mon": "Strong technical foundation addressing identified infrastructure gap", "r": 5, "rn": "Highly relevant - essential infrastructure for scalable agent communication", "c": ["A2A protocols", "Agent identity/auth", "Autonomous netops"]}


draft_name: draft-stone-vcap
prompt_hash: 3eff9a0b786f0a39
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:10:44.151637+00:00
response_json:
  {"name": "draft-stone-vcap", "s": "Defines verified commerce protocol for AI agents with cryptographic proof of work delivery and automatic escrow settlement. Complements existing agent communication protocols with payment capabilities.", "n": 4, "nn": "Novel approach to automated agent commerce with cryptographic work verification", "m": 4, "mn": "Complete specification with message formats, state machines, and verification engines", "o": 2, "on": "Some overlap with general payment systems but agent-specific automation is unique", "mo": 5, "mon": "High momentum - addresses critical need for agent economic interactions", "r": 5, "rn": "Highly relevant for autonomous agent marketplaces and economic systems", "c": ["A2A protocols", "Data formats/interop", "Other AI/agent"]}


draft_name: draft-mw-spice-intent-chain
prompt_hash: f5f10eea17ae6ab4
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:11:04.434770+00:00
response_json:
  {"name": "draft-mw-spice-intent-chain", "s": "Defines cryptographically verifiable intent chains to track content provenance and transformations through AI agent workflows. Uses Merkle roots in OAuth tokens with full chains stored as ordered logs.", "n": 4, "nn": "Novel approach to content provenance tracking with cryptographic verification for AI workflows", "m": 3, "mn": "Well-structured technical approach but lacks implementation details and interoperability considerations", "o": 2, "on": "Some overlap with general provenance systems but specific to AI agent content flows", "mo": 3, "mon": "Part of coordinated SPICE framework with multiple related drafts showing systematic development", "r": 4, "rn": "Highly relevant for AI transparency and accountability requirements in autonomous systems", "c": ["AI safety/alignment", "Policy/governance", "Data formats/interop"]}


draft_name: draft-mw-spice-inference-chain
prompt_hash: 3f2c57aa4d53fbb3
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:11:04.458745+00:00
response_json:
  {"name": "draft-mw-spice-inference-chain", "s": "Provides cryptographic proof of AI model inference using ZKML proofs and TEE attestation. Complements actor and intent chains to form complete AI governance framework.", "n": 5, "nn": "Highly novel combination of ZKML and TEE for computational provenance verification", "m": 2, "mn": "Ambitious technical scope with significant implementation challenges and limited practical deployment guidance", "o": 1, "on": "Unique approach to inference verification with no direct equivalents", "mo": 3, "mon": "Part of SPICE suite but relies on cutting-edge technologies with uncertain adoption timelines", "r": 5, "rn": "Critical for AI trustworthiness and addresses fundamental verification challenges", "c": ["AI safety/alignment", "Model serving/inference", "Policy/governance"]}


draft_name: draft-williams-intent-token
prompt_hash: 1681b829e740fe4a
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:11:04.472308+00:00
response_json:
  {"name": "draft-williams-intent-token", "s": "Cryptographic authorization primitive that binds autonomous agent actions to human-declared authorization envelopes. Addresses gaps in existing OAuth/OIDC frameworks for action-level authorization.", "n": 4, "nn": "Innovative approach to action-level authorization for autonomous agents beyond session-level controls", "m": 4, "mn": "Concise, well-defined primitive with clear integration path for existing systems", "o": 2, "on": "Builds on OAuth/OIDC but addresses specific autonomous agent authorization gaps", "mo": 4, "mon": "Practical approach with clear value proposition for immediate deployment needs", "r": 5, "rn": "Essential for safe autonomous agent deployment and human oversight requirements", "c": ["Agent identity/auth", "Policy/governance", "Human-agent interaction"]}


draft_name: draft-wang-jep-judgment-event-protocol
prompt_hash: 189b81ccaf4261c4
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:11:04.483510+00:00
response_json:
  {"name": "draft-wang-jep-judgment-event-protocol", "s": "Neutral verifiable event format for decision operations across human and autonomous systems. Defines four immutable event verbs with signed JSON structure and validation semantics.", "n": 3, "nn": "Systematic approach to decision event recording but builds on established event logging patterns", "m": 4, "mn": "Comprehensive specification with clear validation rules and extension mechanisms", "o": 3, "on": "Some overlap with audit logging standards but specialized for decision events", "mo": 3, "mon": "Well-defined protocol with broad applicability but requires ecosystem adoption", "r": 4, "rn": "Important for accountability and audit requirements in autonomous systems", "c": ["Data formats/interop", "Policy/governance", "Human-agent interaction"]}


draft_name: draft-li-atp
prompt_hash: 0b040531f299fd01
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:11:04.505690+00:00
response_json:
  {"name": "draft-li-atp", "s": "Communication protocol for autonomous agents with two-tier architecture using ATP servers for routing and security. Includes DNS-based discovery and mandatory authentication frameworks.", "n": 3, "nn": "Systematic agent communication protocol but follows established patterns from email and messaging systems", "m": 3, "mn": "Comprehensive but complex specification with significant infrastructure requirements", "o": 4, "on": "Notable overlap with existing messaging protocols and service discovery mechanisms", "mo": 2, "mon": "Ambitious scope may face adoption challenges due to infrastructure complexity", "r": 4, "rn": "Addresses fundamental need for standardized agent communication in IoA paradigm", "c": ["A2A protocols", "Agent identity/auth", "Agent discovery/reg"]}


draft_name: draft-aiendpoint-ai-discovery
prompt_hash: 637d3ab31ec99dd9
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:11:25.017450+00:00
response_json:
  {"name": "draft-aiendpoint-ai-discovery", "s": "Defines a /.well-known/ai endpoint for web services to expose machine-readable capability descriptions to AI agents. Addresses the lack of standardized AI agent service discovery mechanisms.", "n": 4, "nn": "Novel approach to AI-native service discovery using well-known endpoints with LLM-optimized descriptions", "m": 3, "mn": "Solid technical approach but lacks implementation details and security considerations", "o": 3, "on": "Overlaps conceptually with MCP discovery draft but targets different protocol layer", "mo": 3, "mon": "Addresses clear need but no indication of implementation momentum", "r": 4, "rn": "Highly relevant as AI agents increasingly need to discover and interact with web services", "c": ["Agent discovery/reg", "Data formats/interop", "Human-agent interaction"]}


draft_name: draft-song-anp-ans
prompt_hash: 13bc4e17d779d356
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:11:25.042907+00:00
response_json:
  {"name": "draft-song-anp-ans", "s": "Defines Agent Name System mapping agent:// URIs to network peer identifiers in the ANP suite. Provides name registration, resolution, and lookup operations for AI agents.", "n": 5, "nn": "Completely novel naming system specifically designed for AI agent networks", "m": 4, "mn": "Well-structured with detailed protocol operations and clear architectural boundaries", "o": 1, "on": "Unique approach to agent naming, no direct overlap with existing systems", "mo": 4, "mon": "Part of comprehensive ANP suite suggesting coordinated development effort", "r": 5, "rn": "Critical infrastructure component for agent-to-agent networking", "c": ["A2A protocols", "Agent identity/auth", "Agent discovery/reg"]}


draft_name: draft-song-anp-aitp
prompt_hash: d1dc807a7030d277
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:11:25.056405+00:00
response_json:
  {"name": "draft-song-anp-aitp", "s": "Message-framed invocation transport protocol above AIP for AI agents. Provides method-aware framing and association semantics natively rather than adapting existing protocols.", "n": 5, "nn": "Novel agent-native transport design avoiding adaptation layers of existing protocols", "m": 4, "mn": "Comprehensive transport design with clear architectural rationale and detailed mechanisms", "o": 1, "on": "Unique agent-native transport approach, distinct from traditional protocol adaptations", "mo": 4, "mon": "Part of coordinated ANP suite development with clear integration points", "r": 5, "rn": "Essential transport layer for efficient agent-to-agent communication", "c": ["A2A protocols", "Data formats/interop"]}


draft_name: draft-song-anp-aip
prompt_hash: f6b2981b632afcf0
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:11:25.078688+00:00
response_json:
  {"name": "draft-song-anp-aip", "s": "Provides best-effort datagram delivery between AI agents identified by agent:// URIs. Serves as narrow waist protocol analogous to IP for agent networks.", "n": 5, "nn": "Fundamentally novel network layer design for agent-native addressing and routing", "m": 4, "mn": "Well-architected network protocol with clear layering and comprehensive message format", "o": 1, "on": "Completely unique agent network layer, no equivalent in existing protocols", "mo": 4, "mon": "Foundation protocol of ANP suite indicating serious development commitment", "r": 5, "rn": "Foundational protocol enabling entire agent networking ecosystem", "c": ["A2A protocols", "Agent identity/auth", "Autonomous netops"]}


draft_name: draft-serra-mcp-discovery-uri
prompt_hash: 1d75be41fdb1c2e2
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:11:25.091058+00:00
response_json:
  {"name": "draft-serra-mcp-discovery-uri", "s": "Defines mcp:// URI scheme and discovery mechanisms for Model Context Protocol servers. Includes DNS-based discovery and security capability negotiation.", "n": 3, "nn": "Incremental extension of well-known discovery patterns to MCP protocol domain", "m": 4, "mn": "Mature specification with dual discovery modes and comprehensive security considerations", "o": 3, "on": "Similar discovery approach to ai-discovery draft but for different protocol ecosystem", "mo": 4, "mon": "Builds on established MCP protocol with clear deployment path", "r": 4, "rn": "Important for MCP ecosystem adoption and autonomous agent tool discovery", "c": ["Agent discovery/reg", "Data formats/interop", "Agent identity/auth"]}


draft_name: draft-drake-email-hardware-attestation
prompt_hash: 54505a5400bf921b
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:11:46.009727+00:00
response_json:
  {"name": "draft-drake-email-hardware-attestation", "s": "Defines hardware attestation mechanisms for automated email senders to prove hardware security component access via cryptographic verification. Introduces persistent agent identities and privacy-preserving alternatives using SD-JWT.", "n": 4, "nn": "Novel application of hardware attestation to email authentication with agent identity framework", "m": 4, "mn": "Well-structured with detailed technical mechanisms and clear verification procedures", "o": 2, "on": "Limited overlap - focuses specifically on email attestation rather than general agent identity", "mo": 3, "mon": "Addresses real concern about AI agent authentication but email-specific scope may limit adoption", "r": 4, "rn": "Highly relevant as AI agents increasingly send automated emails and need trust mechanisms", "c": ["Agent identity/auth", "A2A protocols"]}


draft_name: draft-baysal-asimov-safety-architecture
prompt_hash: 31cf49def6aa8b5f
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:11:46.038510+00:00
response_json:
  {"name": "draft-baysal-asimov-safety-architecture", "s": "Specifies a dual-gate hierarchical security framework separating reasoning from judging models to prevent self-manipulation. Uses deterministic denylists plus stateless LLM judges with strict priority layers.", "n": 4, "nn": "Addresses critical architectural separation between reasoning and safety enforcement in AI systems", "m": 4, "mn": "Comprehensive specification with clear component definitions and conformance requirements", "o": 1, "on": "Unique architectural approach to AI safety with minimal overlap to existing work", "mo": 4, "mon": "Strong momentum potential due to critical safety concerns in autonomous AI deployment", "r": 5, "rn": "Extremely relevant as autonomous AI agents become more capable and require robust safety frameworks", "c": ["AI safety/alignment", "Policy/governance"]}


draft_name: draft-smith-opsawg-ai-network-governance
prompt_hash: f9ac3639f3d4d137
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:11:46.051387+00:00
response_json:
  {"name": "draft-smith-opsawg-ai-network-governance", "s": "Establishes governance framework for AI-mediated autonomous network management covering thirteen areas from human authority to absolute prohibitions. Provides reference architecture for safe AI network operations.", "n": 3, "nn": "Comprehensive governance framework specifically for network operations, building on established principles", "m": 4, "mn": "Mature framework with detailed governance areas and practical implementation guidance", "o": 2, "on": "Some conceptual overlap with general AI governance but network-specific focus is distinct", "mo": 4, "mon": "High momentum due to industry need for AI network automation governance standards", "r": 5, "rn": "Critical relevance as network operators deploy AI-driven automation in production environments", "c": ["Autonomous netops", "Policy/governance", "AI safety/alignment"]}


draft_name: draft-vandemeent-tibet-provenance
prompt_hash: fa0dc0244c9bfb9f
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:11:46.064752+00:00
response_json:
  {"name": "draft-vandemeent-tibet-provenance", "s": "Defines cryptographically linked provenance chains for agent interactions using four-dimensional token model. Provides append-only evidence trails with hash-chaining and digital signatures.", "n": 4, "nn": "Novel four-dimensional provenance model with comprehensive interaction tracking capabilities", "m": 3, "mn": "Solid technical foundation but complexity may impact implementation adoption", "o": 3, "on": "Moderate overlap with general provenance systems but agent-specific focus adds distinctiveness", "mo": 3, "mon": "Part of broader protocol suite which may help adoption but standalone complexity is high", "r": 4, "rn": "High relevance for audit trails and accountability in autonomous agent ecosystems", "c": ["Data formats/interop", "A2A protocols", "Agent identity/auth"]}


draft_name: draft-vandemeent-ains-discovery
prompt_hash: 2db447bb3edcf786
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:11:46.079510+00:00
response_json:
  {"name": "draft-vandemeent-ains-discovery", "s": "Specifies agent discovery and trust resolution protocol mapping identifiers to rich metadata including capabilities and trust scores. Enables federated multi-registry deployments with append-only replication.", "n": 4, "nn": "Comprehensive agent-centric naming service extending beyond traditional DNS address mapping", "m": 3, "mn": "Technically sound but ambitious scope may complicate initial deployment", "o": 3, "on": "Some overlap with existing discovery protocols but agent-specific metadata model is distinctive", "mo": 3, "mon": "Part of integrated protocol suite but faces adoption challenges due to infrastructure requirements", "r": 4, "rn": "High relevance as autonomous agent ecosystems need robust discovery and trust mechanisms", "c": ["Agent discovery/reg", "Agent identity/auth", "A2A protocols"]}


draft_name: draft-feria-sas
prompt_hash: f5208a8d4dd50fe6
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:12:04.238212+00:00
response_json:
  {"name": "draft-feria-sas", "s": "Proposes a Reality Layer framework to filter out synthetic noise from autonomous agents using deterministic admission control. Introduces binary sovereignty metrics and signed Reality Tokens for O(1) filtering.", "n": 4, "nn": "Novel concept of 'Saturation Agentic Stridential' and Reality Layer filtering approach", "m": 2, "mn": "Very brief at 3 pages, lacks implementation details and validation", "o": 2, "on": "Some conceptual overlap with agent filtering but unique approach", "mo": 2, "mon": "Interesting concept but needs substantial development", "r": 4, "rn": "Addresses critical scalability issue of agent noise in multi-agent systems", "c": ["ML traffic mgmt", "Agent identity/auth", "Policy/governance"]}


draft_name: draft-larsson-aitlp
prompt_hash: f166a7d228f32bec
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:12:04.264432+00:00
response_json:
  {"name": "draft-larsson-aitlp", "s": "Defines comprehensive protocol for agent identity, trust, lifecycle management, and organizational boundaries. Focuses on constraints and auditable autonomy rather than capabilities.", "n": 4, "nn": "Well-structured organizational actor model with novel boundary-focused approach", "m": 5, "mn": "Comprehensive 47-page specification with detailed protocols and mechanisms", "o": 3, "on": "Some overlap with agent identity/auth standards but distinct organizational focus", "mo": 4, "mon": "Substantial document with clear implementation path", "r": 5, "rn": "Addresses fundamental need for organizational agent governance and accountability", "c": ["Agent identity/auth", "Policy/governance", "A2A protocols"]}


draft_name: draft-yan-iba-routing-security-requirements
prompt_hash: a069a101f26969ac
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:12:04.280127+00:00
response_json:
  {"name": "draft-yan-iba-routing-security-requirements", "s": "Specifies security requirements for intent-based agent routing across registration, resolution, and dispatch phases. Addresses semantic intent protection beyond traditional transport security.", "n": 3, "nn": "Applies security analysis to intent-based routing with phase-specific approach", "m": 4, "mn": "Well-structured 20-page requirements document with comprehensive analysis", "o": 3, "on": "Overlaps with general routing security but specific to intent-based agent routing", "mo": 4, "mon": "Solid security framework with clear requirements structure", "r": 4, "rn": "Critical security considerations for emerging intent-based agent coordination", "c": ["Agent discovery/reg", "A2A protocols", "AI safety/alignment"]}


draft_name: draft-sharif-aeba
prompt_hash: 062c14bf13b6de4b
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:12:04.292999+00:00
response_json:
  {"name": "draft-sharif-aeba", "s": "Specifies behavioral monitoring framework for autonomous agents, equivalent to UEBA for enterprise security. Defines event schemas, signature binding, and SIEM integration.", "n": 3, "nn": "Adapts established UEBA concepts to agent domain with interoperability focus", "m": 4, "mn": "Comprehensive 23-page framework with detailed technical specifications", "o": 2, "on": "Unique application of behavioral analytics to agent security monitoring", "mo": 4, "mon": "Strong technical foundation with clear enterprise integration path", "r": 5, "rn": "Essential for operational security in autonomous agent deployments", "c": ["AI safety/alignment", "Data formats/interop", "Policy/governance"]}


draft_name: draft-feng-nmrg-ain-architecture
prompt_hash: 07d2a0659423e444
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:12:04.307137+00:00
response_json:
  {"name": "draft-feng-nmrg-ain-architecture", "s": "Presents architectural model for Internet-scale agent coordination without pre-established bilateral integration. Defines routing-based approach for heterogeneous multi-agent systems.", "n": 4, "nn": "Internet-scale agent coordination architecture with routing-based approach", "m": 4, "mn": "Well-structured 18-page architectural document with clear scope and research agenda", "o": 3, "on": "Some overlap with agent discovery/routing but unique Internet-scale focus", "mo": 4, "mon": "Strong architectural foundation with NMRG research agenda", "r": 5, "rn": "Addresses fundamental Internet-scale agent coordination challenge", "c": ["Agent discovery/reg", "A2A protocols", "Autonomous netops"]}


draft_name: draft-deforth-arp
prompt_hash: 99adde42f2e65ea5
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:12:26.338092+00:00
response_json:
  {"name": "draft-deforth-arp", "s": "Defines a DNS-based cryptographic verification protocol for AI agents to verify domain-authorized entity claims. Uses Ed25519 signatures and DNS TXT records similar to DKIM but for semantic data verification.", "n": 4, "nn": "Novel application of DKIM-like verification to AI agent data consumption, addressing narrative injection attacks", "m": 4, "mn": "Well-structured specification with clear technical foundation using established cryptographic primitives", "o": 2, "on": "Some conceptual overlap with agent identity/auth but focused on data provenance verification", "mo": 3, "mon": "Addresses real problem of AI misinformation but relies on DNS infrastructure adoption", "r": 4, "rn": "Highly relevant to current AI safety concerns around data integrity and misinformation", "c": ["Agent identity/auth", "AI safety/alignment", "Data formats/interop"]}


draft_name: draft-fluid-fadp
prompt_hash: 7859c4c4f0031e9d
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:12:26.360480+00:00
response_json:
  {"name": "draft-fluid-fadp", "s": "HTTP extension enabling AI agents to make cryptocurrency micropayments for web resources via new headers. Extends HTTP 402 with on-chain payment proofs and nonce-based replay prevention.", "n": 4, "nn": "Creative integration of DeFi micropayments with HTTP protocol for agent-native commerce", "m": 3, "mn": "Reasonable technical approach but depends on blockchain infrastructure and adoption", "o": 1, "on": "Unique approach to agent payment systems, no significant overlap with other drafts", "mo": 3, "mon": "Addresses practical need for agent commerce but faces adoption challenges", "r": 3, "rn": "Relevant for autonomous agent economics but limited by current blockchain UX", "c": ["A2A protocols", "Agent identity/auth", "Other AI/agent"]}


draft_name: draft-aevum-causal-intervention-record
prompt_hash: b4a3eec6245067e1
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:12:26.372749+00:00
response_json:
  {"name": "draft-aevum-causal-intervention-record", "s": "Wire format for recording verifiable causal intervention events by autonomous agents with thermodynamic costs. Creates content-addressed DAG of agent actions with Pearl's do-calculus classification.", "n": 5, "nn": "Highly novel integration of causal inference theory, thermodynamics, and agent action logging", "m": 2, "mn": "Extremely ambitious but unclear practical implementation and validation mechanisms", "o": 1, "on": "Completely unique approach to agent action recording, no overlap with other drafts", "mo": 2, "mon": "Theoretically interesting but likely too complex for near-term adoption", "r": 2, "rn": "Academically interesting but practical relevance unclear for current agent systems", "c": ["Data formats/interop", "AI safety/alignment", "Other AI/agent"]}


draft_name: draft-rehfeld-apix-core
prompt_hash: bd930d37965aa681
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:12:26.383742+00:00
response_json:
  {"name": "draft-rehfeld-apix-core", "s": "Comprehensive service discovery infrastructure for autonomous agents using HATEOAS principles. Defines governance, trust models, and commercial framework for machine-native internet navigation.", "n": 3, "nn": "Systematic approach to agent service discovery but builds on existing REST/HATEOAS concepts", "m": 4, "mn": "Thorough specification with clear governance and commercial models, well-structured at 61 pages", "o": 2, "on": "Some overlap with general service discovery but focused specifically on agent needs", "mo": 4, "mon": "Addresses fundamental infrastructure need for agent ecosystems with clear business model", "r": 5, "rn": "Extremely relevant as foundational infrastructure for autonomous agent internet usage", "c": ["Agent discovery/reg", "Policy/governance", "Data formats/interop", "Autonomous netops"]}


draft_name: draft-sovereign-haip
prompt_hash: 6550aaf62e7052d4
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:12:26.410250+00:00
response_json:
  {"name": "draft-sovereign-haip", "s": "Real-time identity verification protocol for AI agents with microsecond pulse requirements and decentralized identity teleportation. Extremely brief specification at only 6 pages.", "n": 2, "nn": "Buzzword-heavy with unclear technical substance, 'identity teleportation' appears ill-defined", "m": 1, "mn": "Severely underspecified at 6 pages, lacks technical detail for claimed capabilities", "o": 3, "on": "Overlaps with agent identity space but claims unique 'teleportation' features", "mo": 1, "mon": "Low momentum due to lack of technical substance and unrealistic claims", "r": 1, "rn": "Low relevance due to unclear technical foundation and implementation details", "c": ["Agent identity/auth", "AI safety/alignment"]}


draft_name: draft-sharif-attp
prompt_hash: ed71d816c637f03d
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:12:48.270418+00:00
response_json:
  {"name": "draft-sharif-attp", "s": "ATTP provides a comprehensive trust framework for AI agents with progressive trust levels, behavioral scoring, and real-time compliance gating. It's transport-agnostic with bindings for multiple protocols including MCP, REST, and gRPC.", "n": 4, "nn": "Novel separation of trust from identity with multi-dimensional behavioral scoring and progressive trust levels", "m": 4, "mn": "Solid technical foundation but no clear adoption indicators", "o": 2, "on": "Some conceptual overlap with SATP/SVTP on trust but focused on behavioral trust rather than identity", "mo": 3, "r": 5, "rn": "Directly addresses critical need for trust management in autonomous AI agent interactions", "c": ["Agent identity/auth", "AI safety/alignment", "Policy/governance"]}


draft_name: draft-sovereign-satp
prompt_hash: 20cf8fb8d6d20c49
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:12:48.295152+00:00
response_json:
  {"name": "draft-sovereign-satp", "s": "SATP establishes foundational identity and governance framework for autonomous machines including AI agents and physical systems. Provides non-repudiable root of trust but specification appears incomplete at 3 pages.", "n": 3, "nn": "Covers both digital and physical autonomous systems but concept is fairly standard identity/governance", "m": 2, "mn": "Appears superseded by SVTP, minimal technical content", "o": 4, "on": "Heavy overlap with SVTP (appears to be earlier version) and conceptual overlap with ATTP on trust", "mo": 2, "r": 3, "rn": "Addresses important identity problem but lacks specificity for practical implementation", "c": ["Agent identity/auth", "Policy/governance"]}


draft_name: draft-sovereign-svtp
prompt_hash: 6fb44a05b06fc266
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:12:48.307700+00:00
response_json:
  {"name": "draft-sovereign-svtp", "s": "SVTP provides verifiable identity and governance for autonomous machines through SVTP-DID and Protocol Seal mechanisms. Focuses on compliance with NIST-800-218 and institutional liability containment.", "n": 3, "nn": "Integration with NIST standards and liability focus adds some novelty to standard identity framework", "m": 3, "mn": "More developed than SATP with specific technical components but limited evidence of adoption", "o": 4, "on": "Appears to supersede SATP, conceptual overlap with ATTP on machine trust", "mo": 3, "r": 4, "rn": "Strong relevance for institutional deployment of autonomous systems with compliance requirements", "c": ["Agent identity/auth", "Policy/governance", "AI safety/alignment"]}


draft_name: draft-abbott-mcp-ax
prompt_hash: b105cc344702003f
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:12:48.320401+00:00
response_json:
  {"name": "draft-abbott-mcp-ax", "s": "MCP-AX enables hierarchical aggregation of MCP servers using AgentX-inspired architecture for tool namespace delegation. Supports heterogeneous networks from cloud to embedded devices with capability-aware routing.", "n": 4, "nn": "Creative adaptation of SNMP AgentX model to MCP tool namespaces with embedded device support", "m": 4, "mn": "Builds on established MCP protocol with solid technical foundation and clear use cases", "o": 1, "on": "Unique focus on MCP aggregation with no significant overlap with other drafts", "mo": 4, "r": 4, "rn": "High relevance for scaling MCP deployments and enabling complex agent tool compositions", "c": ["A2A protocols", "Data formats/interop", "Agent discovery/reg"]}


draft_name: draft-hood-agtp-api
prompt_hash: 1b56d9e2b509ff6a
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:12:48.332733+00:00
response_json:
  {"name": "draft-hood-agtp-api", "s": "AGTP-API defines the contract layer for Agent Transfer Protocol with method catalogs, endpoint primitives, and runtime contract negotiation. Supersedes previous AGIS and AGTP-Methods drafts with unified specification.", "n": 3, "nn": "Contract negotiation and method policy mechanisms add some novelty to standard API design", "m": 5, "mn": "Shows clear evolution from previous drafts with substantial technical development", "o": 2, "on": "Some conceptual overlap with MCP-AX on agent protocols but different focus areas", "mo": 4, "r": 4, "rn": "Important for standardizing agent-server interactions with strong technical foundation", "c": ["A2A protocols", "Data formats/interop", "Policy/governance"]}


draft_name: draft-borthwick-msebenzi-environment-state
prompt_hash: 9b82a4eacfee7ef6
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:13:10.184101+00:00
response_json:
  {"name": "draft-borthwick-msebenzi-environment-state", "s": "Defines environment.* constraint family for Verifiable Intent mandates to check external conditions like venue status or fund availability during autonomous agent transactions. Provides framework for registering new environment constraint types without defining specific implementations.", "n": 4, "nn": "Novel approach to binding external world state into cryptographic transaction constraints", "m": 3, "mn": "Well-structured framework but lacks concrete constraint type definitions", "o": 2, "on": "Some overlap with general agent authorization but environment binding is distinct", "mo": 4, "mon": "Strong technical foundation with clear extensibility path", "r": 5, "rn": "Critical for reliable autonomous agent operations in real-world environments", "c": ["A2A protocols", "Agent identity/auth", "Data formats/interop"]}


draft_name: draft-han-ai-manifest
prompt_hash: 7238f270f4ba3b92
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:13:10.212972+00:00
response_json:
  {"name": "draft-han-ai-manifest", "s": "Specifies JSON format for websites to provide AI agents with step-by-step UI workflow instructions using CSS selectors. Shows 81.9% token reduction but requires deterministic SDK runtime due to LLM prompt injection defenses.", "n": 3, "nn": "Practical solution to known DOM analysis inefficiency problem", "m": 4, "mn": "Mature with empirical validation and reference implementation", "o": 3, "on": "Similar to existing web automation approaches but AI-agent focused", "mo": 4, "mon": "Strong empirical results drive adoption potential", "r": 4, "rn": "Addresses major efficiency bottleneck in web-based agent automation", "c": ["Human-agent interaction", "Data formats/interop", "AI safety/alignment"]}


draft_name: draft-vandemeent-iddrop
prompt_hash: 6a7fe45d3a44c825
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:13:10.225019+00:00
response_json:
  {"name": "draft-vandemeent-iddrop", "s": "Identity transfer protocol for moving claims between human and machine environments with offer-first and request-first modes. Uses sealed carrier truth and semantic classification rather than filenames for identity verification.", "n": 3, "nn": "Solid engineering approach to cross-environment identity transfer", "m": 2, "mn": "Concise but lacks detailed implementation guidance", "o": 4, "on": "Significant overlap with existing identity transfer protocols", "mo": 3, "mon": "Clear use case but competitive landscape may limit adoption", "r": 4, "rn": "Essential for hybrid human-agent workflows and daemon interactions", "c": ["Agent identity/auth", "Data formats/interop", "Human-agent interaction"]}


draft_name: draft-kuehlewind-audit-architecture
prompt_hash: 9e7d54730f4f052d
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:13:10.235273+00:00
response_json:
  {"name": "draft-kuehlewind-audit-architecture", "s": "Architecture for auditing AI agent delegation and interactions by linking intent, delegation, authorization, and execution. Addresses gap in existing auditing mechanisms that capture isolated events but miss delegation relationships.", "n": 4, "nn": "First comprehensive approach to agent-specific audit requirements", "m": 3, "mn": "Good architectural foundation but implementation details need development", "o": 2, "on": "Builds on general audit concepts but agent focus is distinctive", "mo": 4, "mon": "Strong compliance and governance drivers for adoption", "r": 5, "rn": "Critical for enterprise and regulated deployment of autonomous agents", "c": ["Policy/governance", "Agent identity/auth", "Autonomous netops"]}


draft_name: draft-sharif-mcps-secure-mcp
prompt_hash: 7f9e3d742e848e00
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:13:10.249859+00:00
response_json:
  {"name": "draft-sharif-mcps-secure-mcp", "s": "Cryptographic security layer for Model Context Protocol adding agent identity verification, message signing, and replay protection. Fully backward-compatible with progressive trust levels L0-L4 and self-hostable trust authority.", "n": 4, "nn": "Comprehensive security enhancement for established protocol", "m": 5, "mn": "Highly detailed with complete cryptographic specifications and backward compatibility", "o": 3, "on": "Standard security patterns but MCP-specific application is novel", "mo": 5, "mon": "Strong technical foundation with clear implementation path", "r": 5, "rn": "Essential security upgrade for production MCP deployments", "c": ["Agent identity/auth", "AI safety/alignment", "A2A protocols"]}


draft_name: draft-morrison-mcp-dns-discovery
prompt_hash: 90feba93e7165fca
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:13:31.003228+00:00
response_json:
  {"name": "draft-morrison-mcp-dns-discovery", "s": "Defines DNS-based discovery for Model Context Protocol servers using three TXT records that advertise server endpoints, organizational identity, and cryptographic bindings. Requires DNSSEC validation and DANE certificate pinning for security.", "n": 4, "nn": "Novel integration of MCP service discovery with DNS infrastructure and comprehensive identity binding approach", "m": 4, "mn": "Well-developed with specific cryptographic requirements and multiple record types defined", "o": 2, "on": "Limited overlap with general service discovery; specific to MCP protocol", "mo": 3, "mon": "Part of Morrison draft family with established registry requirements", "r": 4, "rn": "Highly relevant for AI agent infrastructure requiring secure service discovery", "c": ["Agent discovery/reg", "Agent identity/auth", "Policy/governance"]}


draft_name: draft-morrison-mcp-tool-surface-names-registry
prompt_hash: fb0c268d4335e643
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:13:31.026438+00:00
response_json:
  {"name": "draft-morrison-mcp-tool-surface-names-registry", "s": "Requests establishment of IANA registry for Model Context Protocol tool surface names used for client-server capability invocation. Uses Specification Required registration with Designated Expert pool.", "n": 2, "nn": "Standard IANA registry establishment following conventional procedures", "m": 4, "mn": "Complete registry specification with clear procedures and initial contents", "o": 1, "on": "Unique registry for MCP-specific identifiers", "mo": 3, "mon": "Supports other Morrison drafts and MCP ecosystem development", "r": 3, "rn": "Important for MCP standardization but narrow scope", "c": ["Data formats/interop", "Agent discovery/reg"]}


draft_name: draft-singh-psi
prompt_hash: ad66e04ca6f45402
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:13:31.037427+00:00
response_json:
  {"name": "draft-singh-psi", "s": "Specifies cryptographic protocol for proving AI regulatory compliance without revealing proprietary details. Uses hash chains, digital signatures, zero-knowledge proofs, and MPC consensus.", "n": 5, "nn": "Highly novel approach combining multiple advanced cryptographic techniques for AI compliance", "m": 2, "mn": "Early stage specification with complex cryptographic requirements needing more detail", "o": 1, "on": "Unique focus on cryptographic compliance verification", "mo": 2, "mon": "Single author draft with ambitious scope may face adoption challenges", "r": 5, "rn": "Extremely relevant given increasing AI regulatory requirements globally", "c": ["AI safety/alignment", "Policy/governance", "Agent identity/auth"]}


draft_name: draft-yalcinkaya-rats-asil-m
prompt_hash: fbcfc03ec095ecbe
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:13:31.047656+00:00
response_json:
  {"name": "draft-yalcinkaya-rats-asil-m", "s": "Defines RATS profile for AI systems requiring multi-root attestation evidence synthesis before execution authorization. Introduces synthesis protocol, policy language, and audit record format.", "n": 4, "nn": "Novel application of RATS to multi-root AI attestation scenarios", "m": 3, "mn": "Moderate development with three defined artifacts but could use more implementation detail", "o": 2, "on": "Builds on RATS architecture but addresses specific AI attestation needs", "mo": 3, "mon": "Addresses growing need for AI system attestation with established RATS foundation", "r": 4, "rn": "Highly relevant for secure AI deployment and compliance verification", "c": ["AI safety/alignment", "Agent identity/auth", "Policy/governance"]}


draft_name: draft-reilly-rmrp
prompt_hash: f1fcc7fc9432df96
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:13:31.057444+00:00
response_json:
  {"name": "draft-reilly-rmrp", "s": "Specifies comprehensive framework for policy-governed routing of AI inference requests across heterogeneous model environments. Includes metadata, policies, audit trails, and cost attribution mechanisms.", "n": 4, "nn": "Novel protocol addressing gap in standardized AI model routing governance", "m": 4, "mn": "Comprehensive specification with detailed framework covering multiple aspects", "o": 2, "on": "Some conceptual overlap with general traffic management but AI-specific approach", "mo": 3, "mon": "Addresses clear organizational need for multi-model deployment management", "r": 5, "rn": "Extremely relevant for enterprise AI deployments and model governance", "c": ["ML traffic mgmt", "Policy/governance", "Model serving/inference"]}


draft_name: draft-vasylenko-pait-protocol
prompt_hash: 9b0d51743bab873b
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:13:50.942433+00:00
response_json:
  {"name": "draft-vasylenko-pait-protocol", "s": "Defines a protocol for token-level provenance tracking and identity-based inference in AI systems. Addresses regulatory transparency requirements through verifiable attribution of AI-generated content.", "n": 4, "nn": "Novel approach to token-level provenance attribution with cryptographic signatures", "m": 3, "mn": "Well-structured protocol specification but complex implementation requirements", "o": 2, "on": "Some overlap with identity/auth concepts but unique provenance focus", "mo": 4, "mon": "High regulatory compliance demand driving adoption potential", "r": 5, "rn": "Critical for AI transparency and regulatory compliance requirements", "c": ["AI safety/alignment", "Agent identity/auth", "Policy/governance", "Model serving/inference"]}


draft_name: draft-morrison-compute-location-gate
prompt_hash: e73470155e05c2b8
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:13:50.965494+00:00
response_json:
  {"name": "draft-morrison-compute-location-gate", "s": "Specifies consent-based routing for identity inference based on provenance classes. Enforces privacy through wire-layer refusal of unconsented inference operations.", "n": 4, "nn": "Innovative consent-class matching with provenance-based compute location decisions", "m": 3, "mn": "Complex multi-layer integration but builds on existing mechanisms", "o": 3, "on": "References multiple other drafts, moderate integration overlap", "mo": 3, "mon": "Privacy focus has momentum but complex implementation may slow adoption", "r": 4, "rn": "High relevance for privacy-preserving AI and consent management", "c": ["Agent identity/auth", "Policy/governance", "AI safety/alignment"]}


draft_name: draft-jeskey-anml
prompt_hash: 47d3d7b96b4a8eb1
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:13:50.977699+00:00
response_json:
  {"name": "draft-jeskey-anml", "s": "Defines a machine-first markup language for agent-to-agent communication with dual XML/JSON serialization. Optimizes for computational efficiency in agent interactions.", "n": 3, "nn": "Machine-first approach is somewhat novel but builds on established markup concepts", "m": 4, "mn": "Comprehensive 80-page specification with dual serialization formats", "o": 2, "on": "Unique markup language approach with minimal overlap to existing protocols", "mo": 4, "mon": "Strong demand for standardized agent communication formats", "r": 5, "rn": "Essential infrastructure for agent-to-agent communication at scale", "c": ["A2A protocols", "Data formats/interop", "Agent identity/auth"]}


draft_name: draft-liu-ztcpp-zt-problem-statement
prompt_hash: 2552c93f5ce73d24
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:13:50.996084+00:00
response_json:
  {"name": "draft-liu-ztcpp-zt-problem-statement", "s": "Problem statement for zero trust interoperability standards in IETF context. Identifies scope and use cases for multi-vendor zero trust environments including intelligent agents.", "n": 2, "nn": "Applies existing zero trust concepts to new domains but limited novelty", "m": 2, "mn": "Early stage problem statement with several typos, needs development", "o": 4, "on": "Significant overlap with existing zero trust and security frameworks", "mo": 3, "mon": "Zero trust has industry momentum but IETF standardization path unclear", "r": 3, "rn": "Relevant for agent security but broad scope beyond AI/agent domain", "c": ["Agent identity/auth", "Policy/governance", "Autonomous netops"]}


draft_name: draft-hood-independent-agis
prompt_hash: 5f70a206d6287b32
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:13:51.008017+00:00
response_json:
  {"name": "draft-hood-independent-agis", "s": "Grammar-constrained interface definition language for LLM-based agents using intent-expressing verbs. Provides structural rules for Agentive APIs without fixed vocabulary requirements.", "n": 4, "nn": "Intent-expressing verb methodology for API design is innovative approach", "m": 4, "mn": "Substantial specification with empirical validation, though appears truncated", "o": 2, "on": "Complements rather than overlaps existing API specification approaches", "mo": 4, "mon": "Strong empirical results and clear integration path with AGTP", "r": 5, "rn": "Highly relevant for standardizing agent-API interactions and interoperability", "c": ["A2A protocols", "Data formats/interop", "Agent discovery/reg"]}


draft_name: draft-crovia-seal
prompt_hash: 4504934f2330764d
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:14:05.582395+00:00
response_json:
  {"name": "draft-crovia-seal", "s": "Defines a cryptographic receipt format called Crovia Seal v1 that provides tamper-evident provenance tracking for AI-generated content. Uses Ed25519 signatures over canonicalized JSON to bind issuer identity to input/output pairs, generator parameters, and timestamps.", "n": 4, "nn": "Novel cryptographic receipt format with hash chains and strict canonicalization for AI provenance", "m": 4, "mn": "Well-specified with concrete cryptographic primitives and clear verification procedures", "o": 2, "on": "Some overlap with general attestation concepts but specific AI provenance focus is relatively unique", "mo": 3, "mon": "AI content authenticity is increasingly important but adoption depends on industry coordination", "r": 4, "rn": "Highly relevant for AI transparency and content verification in an era of synthetic media", "c": ["AI safety/alignment", "Data formats/interop", "Policy/governance"]}


draft_name: draft-miller-ztip
prompt_hash: b15cc2d858c095d8
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:14:05.615470+00:00
response_json:
  {"name": "draft-miller-ztip", "s": "Introduces Zero-Trust Intent Protocol with three primitives for verifiable delegation, intent binding, and behavioral attestation in multi-agent systems. Appears to be a comprehensive 49-page specification for multi-agent coordination.", "n": 4, "nn": "Novel combination of zero-trust principles with intent-based multi-agent coordination primitives", "m": 3, "mn": "Substantial length suggests thorough treatment but abstract truncation limits assessment", "o": 3, "on": "Overlaps with general zero-trust and delegation concepts but multi-agent focus differentiates it", "mo": 3, "mon": "Multi-agent systems gaining traction but zero-trust adoption in this context uncertain", "r": 4, "rn": "Very relevant as autonomous agents become more prevalent and need secure coordination", "c": ["A2A protocols", "Agent identity/auth", "Policy/governance", "Autonomous netops"]}


draft_name: draft-morrow-sogomonian-exec-outcome-attest
prompt_hash: ca6389726edc5c4e
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:14:05.635139+00:00
response_json:
  {"name": "draft-morrow-sogomonian-exec-outcome-attest", "s": "Defines execution outcome verification as separate from identity attestation, introducing execution receipts as composable primitives. Maps abstract model to concrete implementations including SCITT logs and TEE-internal receipts.", "n": 4, "nn": "Novel separation of execution outcome verification from identity attestation with formal abstract model", "m": 3, "mn": "Provides formal model and concrete mappings but relatively short specification may lack detail", "o": 3, "on": "Overlaps with attestation frameworks but outcome-focused approach is distinguishing", "mo": 3, "mon": "Execution verification important for autonomous systems but adoption path unclear", "r": 4, "rn": "Highly relevant for verifiable AI agent actions and automated system accountability", "c": ["Agent identity/auth", "Data formats/interop", "AI safety/alignment", "Policy/governance"]}


draft_name: draft-coetzee-oauth-spt-txn-tokens
prompt_hash: 75238480913f590f
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:14:52.398489+00:00
response_json:
  {"name": "draft-coetzee-oauth-spt-txn-tokens", "s": "Extends OAuth with cryptographically-bound authorization tokens for cross-organizational AI agent systems. Provides tamper-evident policy enforcement and human identity propagation through delegation chains.", "n": 4, "nn": "Novel combination of capability-based authorization with transaction token binding for agent systems", "m": 4, "mn": "Well-structured extension of existing RFC 9700 with clear technical specifications", "o": 2, "on": "Some overlap with IPP on human intent verification but focuses on OAuth token mechanics", "mo": 4, "mon": "Addresses critical enterprise authorization needs for AI agents with strong technical foundation", "r": 5, "rn": "Directly addresses urgent need for secure authorization in enterprise AI agent deployments", "c": ["Agent identity/auth", "Policy/governance"]}


draft_name: draft-haberkamp-ipp
prompt_hash: 40edbd3a749a3b38
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:14:52.427481+00:00
response_json:
  {"name": "draft-haberkamp-ipp", "s": "Cryptographic protocol for preserving verified human intent through chains of AI agent actions. Uses signed tokens with narrowing invariants to maintain auditable lineage from human principals.", "n": 4, "nn": "First protocol specifically addressing human intent provenance in agent delegation chains", "m": 3, "mn": "Good conceptual framework but some technical details appear incomplete in abstract", "o": 3, "on": "Conceptual overlap with SPT-Txn on human identity verification and token-based authorization", "mo": 4, "mon": "Addresses fundamental accountability problem in agentic systems with broad applicability", "r": 5, "rn": "Critical for regulatory compliance and liability attribution in AI agent systems", "c": ["Agent identity/auth", "AI safety/alignment", "Policy/governance"]}


draft_name: draft-hood-independent-atp
prompt_hash: c1cfbc3171776ab8
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-05-22T10:14:52.437573+00:00
response_json:
  {"name": "draft-hood-independent-atp", "s": "Dedicated application-layer protocol for AI agent traffic with agent-specific methods, identity headers, and status codes. Designed to replace HTTP for agent-to-agent communication.", "n": 3, "nn": "Agent-specific transport protocol with semantic methods, though concept of specialized protocols exists", "m": 4, "mn": "Comprehensive protocol specification with clear methods, headers, and implementation guidance", "o": 1, "on": "Addresses different layer (transport) than the other drafts which focus on authorization/identity", "mo": 3, "mon": "Addresses real HTTP limitations but may face adoption challenges given HTTP's entrenchment", "r": 3, "rn": "Useful for agent system optimization but less critical than authorization/identity problems", "c": ["A2A protocols", "ML traffic mgmt", "Agent identity/auth"]}


draft_name: draft-abbott-mcp-ax
prompt_hash: 511ca1cfe8f1e6ab
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-abbott-mcp-ax]
created_at: 2026-05-22T10:16:02.550393+00:00
response_json:
  [{"title": "MCP Aggregation Protocol", "description": "A master-subagent architecture that enables hierarchical composition of tool namespaces across networks of Model Context Protocol servers with recursive delegation and capability-aware routing.", "type": "protocol"}]


draft_name: draft-aevum-agentcard
prompt_hash: 5f43786f78448fe6
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-aevum-agentcard]
created_at: 2026-05-22T10:16:02.571291+00:00
response_json:
  [{"title": "AgentCard Identity Format", "description": "A framework-neutral JSON data format for autonomous agents to declare identity, capabilities, communication endpoints, and resource pricing for agent-to-agent interoperability.", "type": "protocol"}]


draft_name: draft-aevum-causal-intervention-record
prompt_hash: c1299a8a064cd22b
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-aevum-causal-intervention-record]
created_at: 2026-05-22T10:16:02.577202+00:00
response_json:
  [{"title": "Physically Annotated Causal Record", "description": "A wire-format protocol representing verifiable causal-intervention events as six-tuples binding causal identity, predecessors, thermodynamic cost, resources, cognitive complexity, and Pearl's do-calculus classification.", "type": "protocol"}]


draft_name: draft-aevum-wlp
prompt_hash: 5a4a490368f235fa
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-aevum-wlp]
created_at: 2026-05-22T10:16:02.583143+00:00
response_json:
  [{"title": "Wet-Lab Protocol", "description": "An AI-to-automation instruction schema for translating AI hypotheses into machine-executable wet-lab instructions for longevity research automation.", "type": "protocol"}]


draft_name: draft-agentir-aepp
prompt_hash: 852e2eee497e60ae
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-agentir-aepp]
created_at: 2026-05-22T10:16:02.589122+00:00
response_json:
  [{"title": "Agent Execution and Payment Protocol", "description": "A standardized protocol layer providing discovery, payment verification, and execution phases for AI agents with on-chain payment verification and cryptographic receipts.", "type": "protocol"}]


draft_name: draft-aiendpoint-ai-discovery
prompt_hash: 6cdc0a59c1546bef
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-aiendpoint-ai-discovery]
created_at: 2026-05-22T10:16:08.771355+00:00
response_json:
  [{"title": "AI Discovery Endpoint", "description": "A well-known resource at /.well-known/ai that returns structured JSON describing a web service's capabilities, actions, and authentication requirements for AI agents.", "type": "mechanism"}]


draft_name: draft-aip-agent-identity-protocol
prompt_hash: fb88949399c177b3
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-aip-agent-identity-protocol]
created_at: 2026-05-22T10:16:08.789991+00:00
response_json:
  [{"title": "Agent Identity Protocol", "description": "A two-layer protocol providing verifiable identity through unique identifiers and key pairs for AI agents, plus policy enforcement through signature verification and declarative authorization.", "type": "protocol"}]


draft_name: draft-anandakrishnan-ptv-attested-agent-identity
prompt_hash: e6533ab997fa08d3
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-anandakrishnan-ptv-attested-agent-identity]
created_at: 2026-05-22T10:16:08.798081+00:00
response_json:
  [{"title": "Prove-Transform-Verify Protocol", "description": "A hardware-anchored protocol using TPM 2.0/secure enclaves and zero-knowledge proofs to enable cross-domain agent authorization without exposing raw data.", "type": "protocol"}]


draft_name: draft-araut-oauth-transaction-tokens-for-agents
prompt_hash: 08239b2450506210
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-araut-oauth-transaction-tokens-for-agents]
created_at: 2026-05-22T10:16:08.809058+00:00
response_json:
  [{"title": "Agent Context in Transaction Tokens", "description": "An OAuth extension using the 'act' field to identify the agent performing actions while the 'sub' field represents the principal for agent context propagation.", "type": "extension"}]


draft_name: draft-bates-atp
prompt_hash: 83d451ff522294e9
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-bates-atp]
created_at: 2026-05-22T10:16:15.844846+00:00
response_json:
  [{"title": "Cryptographically Verifiable DAG for Agent Transactions", "description": "A protocol that represents agent actions as signed nodes in a directed acyclic graph to enable tamper-evident causality tracking and auditable lineage across agentic systems.", "type": "protocol"}]


draft_name: draft-baur-pap
prompt_hash: 3b5ecf42bad06b83
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-baur-pap]
created_at: 2026-05-22T10:16:15.862454+00:00
response_json:
  [{"title": "Human-Rooted Cryptographic Agent Protocol", "description": "A cryptographic protocol establishing human-controlled agent-to-agent transactions through hierarchical delegation, selective disclosure, and session ephemerality without requiring central infrastructure.", "type": "protocol"}]


draft_name: draft-baysal-asimov-safety-architecture
prompt_hash: e90d8fa9ff2d9772
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-baysal-asimov-safety-architecture]
created_at: 2026-05-22T10:16:15.869444+00:00
response_json:
  [{"title": "Dual-Gate Safety Architecture with Separated Judge", "description": "A hierarchical security framework that architecturally separates reasoning models from judging models using deterministic denylists and context-free LLM judges to prevent safety rule manipulation.", "type": "architecture"}]


draft_name: draft-benzing-accp
prompt_hash: f8fcc4d77d87b5d4
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-benzing-accp]
created_at: 2026-05-22T10:16:15.875991+00:00
response_json:
  [{"title": "Semantic Context Compression for Agent Communication", "description": "A protocol defining compact message formats and semantic encoding that reduces token consumption by 60-90% for AI agent communication within harnesses.", "type": "protocol"}]


draft_name: draft-beyer-agent-identity-architecture
prompt_hash: ff2255acd9b724b9
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-beyer-agent-identity-architecture]
created_at: 2026-05-22T10:16:15.881762+00:00
response_json:
  [{"title": "Human-Anchored Agent Identity Model", "description": "An architectural model establishing human identity roots with explicit delegation semantics and provenance structures to determine agent legitimacy and authority scope.", "type": "architecture"}]


draft_name: draft-beyer-agent-identity-avian-carriers
prompt_hash: c68b1f4a174e3211
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-beyer-agent-identity-avian-carriers]
created_at: 2026-05-22T10:16:22.698964+00:00
response_json:
  [{"title": "AIPAC Protocol", "description": "A cryptographic identity and provenance attestation system specifically adapted for AI agents operating over avian carrier transport layers.", "type": "protocol"}]


draft_name: draft-borthwick-msebenzi-environment-state
prompt_hash: aa169e7c4372c839
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-borthwick-msebenzi-environment-state]
created_at: 2026-05-22T10:16:22.720482+00:00
response_json:
  [{"title": "Environment Constraint Family", "description": "A constraint family for Verifiable Intent that validates external environmental conditions at transaction execution time rather than just transaction properties.", "type": "extension"}]


draft_name: draft-c4tz-marc
prompt_hash: 4ac3e10a374c13c2
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-c4tz-marc]
created_at: 2026-05-22T10:16:22.727596+00:00
response_json:
  [{"title": "MARC Control Profile", "description": "A vendor-neutral metadata profile that separates pre-decision capability assessment from post-decision confidence and defines a bounded action set for generative AI systems.", "type": "protocol"}]


draft_name: draft-chang-delta1-settlement
prompt_hash: 8d3ef1433a552afb
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-chang-delta1-settlement]
created_at: 2026-05-22T10:16:22.734059+00:00
response_json:
  [{"title": "Delta-1 SCITT Profile", "description": "A SCITT profile that provides binary settlement receipts proving AI decisions met three simultaneous accountability conditions with offline verification.", "type": "protocol"}]


draft_name: draft-chen-oauth-agent-revocation
prompt_hash: d0ecccfcde8a7db3
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-chen-oauth-agent-revocation]
created_at: 2026-05-22T10:16:29.047744+00:00
response_json:
  [{"title": "Agent-based OAuth Token Revocation", "description": "Extends OAuth 2.0 revocation with batch operations, cascade propagation, and agent-level coordination for autonomous systems.", "type": "extension"}]


draft_name: draft-coetzee-oauth-spt-txn-tokens
prompt_hash: 73b6203437c7a2a8
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-coetzee-oauth-spt-txn-tokens]
created_at: 2026-05-22T10:16:29.065020+00:00
response_json:
  [{"title": "Sovereign Policy Token Transactions", "description": "Token-based architecture for policy-bound, tamper-evident authorization across trust boundaries using Capability Acquisition Tokens that extend IETF Transaction Tokens.", "type": "architecture"}]


draft_name: draft-crovia-seal
prompt_hash: f7377552cded77b2
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-crovia-seal]
created_at: 2026-05-22T10:16:29.071323+00:00
response_json:
  [{"title": "Crovia Seal", "description": "Cryptographic receipt format that provides tamper-evident provenance tracking for AI-generated outputs using Ed25519 signatures and hash chains.", "type": "protocol"}]


draft_name: draft-deforth-arp
prompt_hash: ac144779ef254eaf
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-deforth-arp]
created_at: 2026-05-22T10:16:29.077496+00:00
response_json:
  [{"title": "Agentic Reasoning Protocol v1", "description": "DNS-bound cryptographic verification system for machine-readable entity claims to prevent narrative injection in AI agent data consumption.", "type": "protocol"}]


draft_name: draft-deforth-arp-reasoning-protocol
prompt_hash: 379216290e902798
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-deforth-arp-reasoning-protocol]
created_at: 2026-05-22T10:16:29.082999+00:00
response_json:
  [{"title": "Agentic Reasoning Protocol v2", "description": "Extended ARP with live REST API, bidirectional feedback, multi-party attestation, and DID anchoring for AI agent communication.", "type": "protocol"}]


draft_name: draft-dembowski-agentledger-proof-of-behavior
prompt_hash: eed3d4732ddd6432
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-dembowski-agentledger-proof-of-behavior]
created_at: 2026-05-22T10:16:34.988155+00:00
response_json:
  [{"title": "Proof-of-Behavior Protocol", "description": "A tamper-evident audit trail protocol for verifying AI agent actions using signed receipts, hash-chains, and pre-execution policy enforcement.", "type": "protocol"}]


draft_name: draft-drake-agent-identity-registry
prompt_hash: 569804ab0aadfe3c
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-drake-agent-identity-registry]
created_at: 2026-05-22T10:16:35.006202+00:00
response_json:
  [{"title": "Agent Identity Registry", "description": "A federated architecture providing hardware-anchored persistent identities for autonomous entities using URN-based identifiers.", "type": "architecture"}]


draft_name: draft-drake-email-hardware-attestation
prompt_hash: f08070a679ec2f32
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-drake-email-hardware-attestation]
created_at: 2026-05-22T10:16:35.012511+00:00
response_json:
  [{"title": "Email Hardware Attestation", "description": "A mechanism for automated email senders to include cryptographic hardware attestation evidence in message headers for sender verification.", "type": "mechanism"}]


draft_name: draft-embesozzi-oauth-agent-native-authorization
prompt_hash: 48653556c184fc11
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-embesozzi-oauth-agent-native-authorization]
created_at: 2026-05-22T10:16:35.020206+00:00
response_json:
  [{"title": "Structured Elicitation for OAuth", "description": "An extension to OAuth 2.0 FiPA defining standardized metadata format for AI agent authorization challenges using structured elicitation arrays.", "type": "extension"}]


draft_name: draft-emirdag-scitt-ai-agent-execution
prompt_hash: baf2c9a4426d08f5
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-emirdag-scitt-ai-agent-execution]
created_at: 2026-05-22T10:16:35.026630+00:00
response_json:
  [{"title": "SCITT AI Agent Profile", "description": "A SCITT profile defining AgentInteractionRecord format and registration policies for creating verifiable audit trails of AI agent actions.", "type": "extension"}]


draft_name: draft-feng-nmrg-ain-architecture
prompt_hash: 9d9210aec616b4d6
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-feng-nmrg-ain-architecture]
created_at: 2026-05-22T10:16:41.539243+00:00
response_json:
  [{"title": "Agentic Intent Network (AIN)", "description": "A routing-based architecture enabling any AI agent to discover and invoke any other agent's capabilities without pre-established integration across organizational boundaries at Internet scale.", "type": "architecture"}]


draft_name: draft-feria-sas
prompt_hash: 6e0e73f3c40f9c6e
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-feria-sas]
created_at: 2026-05-22T10:16:41.558210+00:00
response_json:
  [{"title": "Reality Layer (RL) Framework", "description": "A deterministic pre-execution admission control system using NIST-validated Invariant Reality Prism and binary sovereignty metrics to filter autonomous agent-generated noise.", "type": "mechanism"}]


draft_name: draft-fluid-fadp
prompt_hash: 4267abcb1308226e
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-fluid-fadp]
created_at: 2026-05-22T10:16:41.564488+00:00
response_json:
  [{"title": "Fluid Agentic DeFi Protocol (FADP)", "description": "An HTTP-native protocol enabling autonomous AI agents to pay for web resources using cryptocurrency with cryptographic payment proofs embedded in HTTP headers.", "type": "protocol"}]


draft_name: draft-gudlab-agentid-protocol
prompt_hash: c17f60ad1a7f584f
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-gudlab-agentid-protocol]
created_at: 2026-05-22T10:16:41.571157+00:00
response_json:
  [{"title": "AgentID Protocol", "description": "An identity protocol using Agent Identity Tokens (JWT-based) to establish, verify and manage autonomous AI agent identities with delegation chains and capability attestation.", "type": "protocol"}]


draft_name: draft-haberkamp-ipp
prompt_hash: b507404bdf2e2613
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-haberkamp-ipp]
created_at: 2026-05-22T10:16:41.577127+00:00
response_json:
  [{"title": "Intent Provenance Protocol (IPP)", "description": "A cryptographic infrastructure using Intent Tokens to maintain verified human intent lineage through chains of autonomous AI agent actions.", "type": "protocol"}]


draft_name: draft-han-agent-comm-enterprise
prompt_hash: 4b63cec4396288b6
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-han-agent-comm-enterprise]
created_at: 2026-05-22T10:16:53.214527+00:00
response_json:
  [{"title": "Agent Identifier and Semantic Routing", "description": "A mechanism for agent identification, registration, capability discovery and semantic routing to enable trusted access and efficient collaboration among heterogeneous agents in enterprise environments.", "type": "mechanism"}]


draft_name: draft-han-ai-manifest
prompt_hash: ad9360830588fee9
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-han-ai-manifest]
created_at: 2026-05-22T10:16:53.223841+00:00
response_json:
  [{"title": "AI Manifest Protocol", "description": "A JSON-based format for websites to declare step-by-step UI workflow instructions that AI agents can execute via CSS selectors without DOM analysis.", "type": "protocol"}]


draft_name: draft-hartman-credential-broker-4-agents
prompt_hash: 7cc4de8587e5d452
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-hartman-credential-broker-4-agents]
created_at: 2026-05-22T10:16:53.231358+00:00
response_json:
  [{"title": "Credential Broker for Agents Architecture", "description": "A credential vaulting and brokering architecture that provides AI agents with short-lived, narrowly scoped proxy credentials instead of long-lived API credentials.", "type": "architecture"}]


draft_name: draft-helixar-hdp-agentic-delegation
prompt_hash: 21df458982233783
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-helixar-hdp-agentic-delegation]
created_at: 2026-05-22T10:16:53.238420+00:00
response_json:
  [{"title": "Human Delegation Provenance Protocol", "description": "A token-based protocol that cryptographically captures and verifies human authorization and delegation chains in multi-agent AI systems without requiring central registries.", "type": "protocol"}]


draft_name: draft-helmprotocol-tttps
prompt_hash: d59238ac4571dfa8
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-helmprotocol-tttps]
created_at: 2026-05-22T10:16:53.245401+00:00
response_json:
  [{"title": "TLS TimeToken Secure Protocol", "description": "A TLS 1.3 extension that provides cryptographically verifiable temporal ordering to address strategic channel controller problems where ordering has economic value.", "type": "protocol"}]


draft_name: draft-hillier-certisyn-ai-governance-verified
prompt_hash: 16c7e9f8c057c26b
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-hillier-certisyn-ai-governance-verified]
created_at: 2026-05-22T10:16:59.770244+00:00
response_json:
  [{"title": "Verification Reconciliation Object (VRO)", "description": "A cryptographic verification standard that produces deterministic, independently reconstructable, auditor-grade attestations of agentic AI governance through eight control areas and three maturity levels.", "type": "protocol"}]


draft_name: draft-hood-agtp-agent-cert
prompt_hash: daeda430d2d7225a
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-hood-agtp-agent-cert]
created_at: 2026-05-22T10:16:59.789084+00:00
response_json:
  [{"title": "AGTP Agent Certificate Extension", "description": "An X.509 v3 certificate extension that cryptographically binds AGTP agent identity headers to TLS certificates for transport-layer verification.", "type": "extension"}]


draft_name: draft-hood-agtp-api
prompt_hash: c1909957b5eab90f
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-hood-agtp-api]
created_at: 2026-05-22T10:16:59.796812+00:00
response_json:
  [{"title": "AGTP-API Contract Layer", "description": "A contract layer defining curated method catalogs, path grammar, endpoint primitives, and PROPOSE-and-synthesis runtime contract negotiation for agent-server interactions.", "type": "protocol"}]


draft_name: draft-hood-agtp-merchant-identity
prompt_hash: d085ca27105008fb
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-hood-agtp-merchant-identity]
created_at: 2026-05-22T10:16:59.803393+00:00
response_json:
  [{"title": "AGTP Merchant Identity Binding", "description": "A protocol-level identity and verification mechanism for the receiving side of agentic transactions through Merchant Manifest Documents and Merchant Genesis records.", "type": "protocol"}]


draft_name: draft-hood-independent-agis
prompt_hash: 496000a211ffb336
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-hood-independent-agis]
created_at: 2026-05-22T10:16:59.809355+00:00
response_json:
  [{"title": "Agentic Grammar and Interface Specification (AGIS)", "description": "A grammar-constrained interface definition language using intent-expressing imperative verbs as method identifiers to enable LLM agents to infer operational meaning without predefined catalogs.", "type": "protocol"}]


draft_name: draft-hood-independent-agtp
prompt_hash: 70c271f8a7741565
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-hood-independent-agtp]
created_at: 2026-05-22T10:17:06.730834+00:00
response_json:
  [{"title": "Agent Transfer Protocol (AGTP)", "description": "A dedicated application-layer protocol for AI agent traffic that provides semantic vocabulary, observability primitives, and identity mechanisms beyond HTTP.", "type": "protocol"}, {"title": "Runtime Contract Negotiation Substrate", "description": "A transport mechanism that allows dynamic negotiation of communication contracts between agents at runtime.", "type": "mechanism"}]


draft_name: draft-hood-independent-atp
prompt_hash: 0dd5f27cd3fd579a
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-hood-independent-atp]
created_at: 2026-05-22T10:17:06.749850+00:00
response_json:
  [{"title": "Agent Transfer Protocol (ATP)", "description": "A dedicated application-layer protocol providing agent-native intent methods like QUERY, SUMMARIZE, BOOK, SCHEDULE, LEARN, DELEGATE, and COLLABORATE.", "type": "protocol"}]


draft_name: draft-hori-agent-quality-graph
prompt_hash: b069274720ebd719
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-hori-agent-quality-graph]
created_at: 2026-05-22T10:17:06.757769+00:00
response_json:
  [{"title": "Agent Quality Graph Protocol", "description": "A graph-based ranking system that evaluates AI agent trustworthiness using delegation transaction patterns similar to web page ranking algorithms.", "type": "protocol"}]


draft_name: draft-howard-virp
prompt_hash: 256620379d5eb8a6
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-howard-virp]
created_at: 2026-05-22T10:17:06.764406+00:00
response_json:
  [{"title": "Verified Infrastructure Response Protocol", "description": "A cryptographic trust framework providing verifiable chain of custody for observations and actions in automated network infrastructure operations.", "type": "protocol"}]


draft_name: draft-howe-vcon-agent-session
prompt_hash: 2dd3141433ce913e
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-howe-vcon-agent-session]
created_at: 2026-05-22T10:17:06.770030+00:00
response_json:
  [{"title": "vCon Agent Session Extension", "description": "A compatible vCon extension that captures autonomous AI agent internal sessions including prompts, tool invocations, reasoning, and provenance alongside human conversations.", "type": "extension"}]


draft_name: draft-jeskey-anml
prompt_hash: 5362638792af050a
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-jeskey-anml]
created_at: 2026-05-22T10:17:43.606341+00:00
response_json:
  [{"title": "Agentic Notation Markup Language (ANML)", "description": "A machine-first markup language for agent-to-agent and agent-to-service communication that describes content, intent, and interaction patterns optimized for machine interpretation.", "type": "protocol"}]


draft_name: draft-jiang-intent-security
prompt_hash: 50f17fb3ac37bdd0
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-jiang-intent-security]
created_at: 2026-05-22T10:17:43.629103+00:00
response_json:
  [{"title": "Intent-Based Request Security Model", "description": "A security analysis framework and reference model for intent-based requests in agentic systems addressing multi-hop processing attack surfaces.", "type": "architecture"}]


draft_name: draft-jimenez-agent-directory
prompt_hash: 2ea434f485d4b02b
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-jimenez-agent-directory]
created_at: 2026-05-22T10:17:43.636412+00:00
response_json:
  [{"title": "Agent Directory (AD)", "description": "A service where agents register their identity, capabilities, and endpoints and where clients discover them by capability, adapting CoRE Resource Directory for software agents.", "type": "protocol"}]


draft_name: draft-jimenez-t2trg-iot-agent
prompt_hash: c8e1e95f7e82289f
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-jimenez-t2trg-iot-agent]
created_at: 2026-05-22T10:17:43.642612+00:00
response_json:
  [{"title": "LLM-Based IoT Agent Architecture", "description": "An architecture for AI agents that autonomously discover, interpret, and interact with IoT devices using CoAP and hypermedia-driven patterns without pre-configured device knowledge.", "type": "architecture"}]


draft_name: draft-jovancevic-vdac
prompt_hash: 2b6bae1f46fadb1e
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-jovancevic-vdac]
created_at: 2026-05-22T10:17:43.650080+00:00
response_json:
  [{"title": "Verifiable Data Access Contract (VDAC)", "description": "A protocol for cryptographically verifiable bilateral agreements between content publishers and automated agents regarding terms of programmatic data access.", "type": "protocol"}]


draft_name: draft-kiliram-agent-trust-auth-framework
prompt_hash: 183cae488f26367d
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-kiliram-agent-trust-auth-framework]
created_at: 2026-05-22T10:17:49.443318+00:00
response_json:
  [{"title": "Cross-Domain Agent Trust Framework", "description": "An architectural framework providing protocol-agnostic trust substrate for agent identity, credentialing, authorization, delegation, and revocation across trust domains.", "type": "framework"}]


draft_name: draft-kroehl-agentic-trust-aae
prompt_hash: eaa31d50ec7d9956
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-kroehl-agentic-trust-aae]
created_at: 2026-05-22T10:17:49.460736+00:00
response_json:
  [{"title": "Agent Authorization Envelope", "description": "A structured authorization container with MANDATE, CONSTRAINTS, and VALIDITY blocks that captures machine-evaluable semantics for autonomous agent authorization.", "type": "protocol"}]


draft_name: draft-kuehlewind-audit-architecture
prompt_hash: dbbe58c3efbb9ea9
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-kuehlewind-audit-architecture]
created_at: 2026-05-22T10:17:49.467452+00:00
response_json:
  [{"title": "Agent Interaction Audit Architecture", "description": "A distributed architecture for auditing agent-driven interactions that links intent, delegation, authorization, and execution through audit record generation and context propagation.", "type": "architecture"}]


draft_name: draft-larsson-aitlp
prompt_hash: e7b91f9fe445add9
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-larsson-aitlp]
created_at: 2026-05-22T10:17:49.475310+00:00
response_json:
  [{"title": "Agent Identity Trust and Lifecycle Protocol", "description": "A comprehensive protocol for organizational agent identity, hierarchical mandate enforcement, lifecycle management, and inter-agent trust verification with boundary-focused constraints.", "type": "protocol"}]


draft_name: draft-li-atp
prompt_hash: 144455e7f1887593
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-li-atp]
created_at: 2026-05-22T10:17:49.481796+00:00
response_json:
  [{"title": "Agent Transfer Protocol", "description": "A two-tier communication protocol enabling autonomous agents to exchange messages through ATP servers with DNS-based service discovery and mandatory authentication policies.", "type": "protocol"}]


draft_name: draft-liu-agent-metadata-sync-protocol
prompt_hash: c0931855bbffc809
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-liu-agent-metadata-sync-protocol]
created_at: 2026-05-22T10:17:54.480082+00:00
response_json:
  [{"title": "Agent Metadata Synchronization Protocol", "description": "A protocol for hierarchical gateways to synchronize agent metadata and routing information across distributed Internet of Agents deployments.", "type": "protocol"}]


draft_name: draft-mcgraw-httpapi-agent-budget
prompt_hash: 0ef5bb7c479476e6
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-mcgraw-httpapi-agent-budget]
created_at: 2026-05-22T10:17:54.500726+00:00
response_json:
  [{"title": "HTTP Budget Authentication Scheme", "description": "An HTTP authentication scheme with 427 status code that separates credential verification from budget authorization using post-quantum-signed attestations.", "type": "protocol"}]


draft_name: draft-miller-ztip
prompt_hash: 9e4cfef540eb3421
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-miller-ztip]
created_at: 2026-05-22T10:17:54.507418+00:00
response_json:
  [{"title": "Zero-Trust Intent Protocol", "description": "A protocol defining primitives for verifiable delegation, intent binding, and behavioral attestation in multi-agent systems.", "type": "protocol"}]


draft_name: draft-morrison-agent-channel-fan-out
prompt_hash: db2a355d583fd098
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-morrison-agent-channel-fan-out]
created_at: 2026-05-22T10:17:54.514365+00:00
response_json:
  [{"title": "Agent-Channel Frame Format", "description": "An application-layer frame format for identity-keyed message exchange between concurrent agentic sessions with fan-out delivery model.", "type": "protocol"}]


draft_name: draft-morrison-compute-location-gate
prompt_hash: a7e56fcf58cd7cae
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-morrison-compute-location-gate]
created_at: 2026-05-22T10:18:01.209211+00:00
response_json:
  [{"title": "Compute-Location Gate", "description": "A wire-layer negotiation mechanism that determines where identity inference computations occur based on the provenance class of input data, with mandatory local-only processing for individual passive observations.", "type": "protocol"}]


draft_name: draft-morrison-mcp-dns-discovery
prompt_hash: f0ea95d508b9d2f1
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-morrison-mcp-dns-discovery]
created_at: 2026-05-22T10:18:01.226763+00:00
response_json:
  [{"title": "MCP Server DNS Discovery", "description": "DNS TXT record-based discovery mechanism for Model Context Protocol servers and their associated organizational and cryptographic identities.", "type": "mechanism"}]


draft_name: draft-morrison-mcp-tool-surface-names-registry
prompt_hash: 8ea311cd2d981cc8
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-morrison-mcp-tool-surface-names-registry]
created_at: 2026-05-22T10:18:01.233755+00:00
response_json:
  [{"title": "MCP Tool Surface Names Registry", "description": "An IANA registry structure for standardizing wire-level identifiers used to invoke typed capabilities on Model Context Protocol servers.", "type": "architecture"}]


draft_name: draft-morrison-substrate-observation
prompt_hash: f2e6104c2e04f05f
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-morrison-substrate-observation]
created_at: 2026-05-22T10:18:01.240964+00:00
response_json:
  [{"title": "Substrate-Observation Coordination", "description": "An alternative to envelope coordination that uses substrate-physics primitives instead of wire format negotiation for coordinating concurrent sessions in cross-tool agentic systems.", "type": "pattern"}]


draft_name: draft-morrow-sogomonian-exec-outcome-attest
prompt_hash: bc822a9d30720a7e
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-morrow-sogomonian-exec-outcome-attest]
created_at: 2026-05-22T10:18:01.246806+00:00
response_json:
  [{"title": "Execution Outcome Verification", "description": "A framework treating execution outcome verification as a first-class concept separate from identity attestation, using execution receipts as composable primitives.", "type": "architecture"}]


draft_name: draft-mw-oauth-actor-chain
prompt_hash: dc9da17487fb7bc7
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-mw-oauth-actor-chain]
created_at: 2026-05-22T10:18:08.904255+00:00
response_json:
  [{"title": "Actor Chain Profiles for OAuth Token Exchange", "description": "Six standardized profiles (Declared/Verified with Full/Subset/Actor-Only disclosure) that preserve and cryptographically validate delegation paths across successive OAuth 2.0 token exchanges in multi-hop workflows.", "type": "protocol"}]


draft_name: draft-mw-spice-inference-chain
prompt_hash: 852c833e1e1b65ff
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-mw-spice-inference-chain]
created_at: 2026-05-22T10:18:08.922491+00:00
response_json:
  [{"title": "Cryptographic AI Inference Provenance Chain", "description": "The inference_root claim provides cryptographic proof that a specific AI model performed the computation to produce given outputs, using ZKML proofs and TEE attestations with Merkle root storage in OAuth tokens.", "type": "mechanism"}]


draft_name: draft-mw-spice-intent-chain
prompt_hash: 716137227340d42c
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-mw-spice-intent-chain]
created_at: 2026-05-22T10:18:08.930243+00:00
response_json:
  [{"title": "Cryptographic Content Provenance Chain", "description": "The intent_chain claim provides tamper-evident records of content transformation through AI agent workflows, tracking what was produced and how it was modified with Merkle root storage in OAuth tokens.", "type": "mechanism"}]


draft_name: draft-nelson-agent-delegation-receipts
prompt_hash: ae3b5e56c1eb0aa8
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-nelson-agent-delegation-receipts]
created_at: 2026-05-22T10:18:08.938588+00:00
response_json:
  [{"title": "Delegation Receipt Protocol", "description": "A cryptographic authorization primitive where users sign Authorization Objects containing scope boundaries and constraints before AI agent execution, with receipts published to append-only logs to eliminate operator trust requirements.", "type": "protocol"}]


draft_name: draft-nemethi-aid-agent-identity-discovery
prompt_hash: 28932f7aca44c7bb
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-nemethi-aid-agent-identity-discovery]
created_at: 2026-05-22T10:18:08.946268+00:00
response_json:
  [{"title": "Agent Identity and Discovery Protocol", "description": "A DNS-first discovery protocol using TXT records at _agent.<domain> subdomains to locate agent service endpoints, authentication hints, and metadata before protocol-specific communication.", "type": "protocol"}]


draft_name: draft-nivalto-agentroa-route-authorization
prompt_hash: 59ec4a658c0edcde
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-nivalto-agentroa-route-authorization]
created_at: 2026-05-22T10:18:16.618610+00:00
response_json:
  [{"title": "Agent Route Origin Authorization (AgentROA)", "description": "A cryptographic policy enforcement framework using ROA envelopes, ARA per-hop receipts, and AER execution receipts to govern AI agent actions with monotonic scope-narrowing across delegation chains.", "type": "protocol"}]


draft_name: draft-niyikiza-oauth-attenuating-agent-tokens
prompt_hash: 021b2c2bab4b09c4
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-niyikiza-oauth-attenuating-agent-tokens]
created_at: 2026-05-22T10:18:16.636584+00:00
response_json:
  [{"title": "Attenuating Authorization Tokens (AATs)", "description": "A JWT-based credential format that enables offline derivation of more restrictive tokens with cryptographically enforced monotonic attenuation for AI agent delegation chains.", "type": "mechanism"}]


draft_name: draft-nyantakyi-vaip-agent-identity
prompt_hash: cf8ab416c3e7618d
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-nyantakyi-vaip-agent-identity]
created_at: 2026-05-22T10:18:16.645099+00:00
response_json:
  [{"title": "Vorim Agent Identity Protocol (VAIP)", "description": "A comprehensive identity protocol providing cryptographic identity, hierarchical permissions, trust scoring, and tamper-evident audit trails specifically designed for autonomous AI agents.", "type": "protocol"}]


draft_name: draft-rehfeld-apix-core
prompt_hash: 126b736ddf3146b0
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-rehfeld-apix-core]
created_at: 2026-05-22T10:18:16.652148+00:00
response_json:
  [{"title": "API Index (APIX) Core Infrastructure", "description": "A HATEOAS-based, globally accessible service discovery infrastructure designed specifically for autonomous agents with integrated governance, trust models, and commercial sustainability mechanisms.", "type": "architecture"}]


draft_name: draft-reilly-plpes
prompt_hash: 3a0c3dc97ce18c30
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-reilly-plpes]
created_at: 2026-05-22T10:18:16.658475+00:00
response_json:
  [{"title": "Protocol Layer Prompt Engineering Specification (PLPES)", "description": "A structured framework for formal specification, classification, versioning, provenance tracking, and security hardening of prompts used in AI systems as protocol artifacts.", "type": "protocol"}]


draft_name: draft-reilly-rmrp
prompt_hash: a7ddf0eec4ad8b39
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-reilly-rmrp]
created_at: 2026-05-22T10:18:22.954052+00:00
response_json:
  [{"title": "Reilly Model Routing Protocol (RMRP)", "description": "A framework for policy-governed, auditable routing of inference requests across heterogeneous AI model environments with cost attribution.", "type": "protocol"}]


draft_name: draft-sato-soos-cap
prompt_hash: 307e796795007153
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-sato-soos-cap]
created_at: 2026-05-22T10:18:22.971190+00:00
response_json:
  [{"title": "Constitutional AI Protocol (CAP)", "description": "A kernel-enforced prohibition architecture for agentic AI systems using a three-tier prohibition model with dual evaluation points.", "type": "protocol"}, {"title": "Jurisdictional Conflict Resolution (JCR)", "description": "A mechanism for resolving conflicts between different jurisdictional requirements in AI governance systems.", "type": "mechanism"}]


draft_name: draft-sato-soos-gar
prompt_hash: 8d9b626f3213dd69
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-sato-soos-gar]
created_at: 2026-05-22T10:18:22.978124+00:00
response_json:
  [{"title": "Governance Audit Record (GAR)", "description": "An audit architecture for agentic AI systems providing verifiable evidence of governance compliance through structured audit records.", "type": "architecture"}]


draft_name: draft-sato-soos-hem
prompt_hash: 95e2a923ee9a357d
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-sato-soos-hem]
created_at: 2026-05-22T10:18:22.984117+00:00
response_json:
  [{"title": "Human Escalation Mechanism (HEM)", "description": "A kernel-level protocol defining how AI agent sessions escalate to human oversight when autonomous operation is insufficient.", "type": "protocol"}]


draft_name: draft-serra-mcp-discovery-uri
prompt_hash: 56fe379c481bd8bc
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-serra-mcp-discovery-uri]
created_at: 2026-05-22T10:18:22.990115+00:00
response_json:
  [{"title": "MCP URI Scheme", "description": "A machine-to-machine identifier for publicly reachable Model Context Protocol servers.", "type": "protocol"}, {"title": "MCP Server Discovery Mechanism", "description": "A dual-mode discovery system using well-known URIs and DNS TXT records for AI agents to find MCP servers.", "type": "mechanism"}]


draft_name: draft-shang-campus-agent-scope-down
prompt_hash: 2ff95b3d4d71081c
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-shang-campus-agent-scope-down]
created_at: 2026-05-22T10:18:28.448684+00:00
response_json:
  [{"title": "Campus Agent Access Control", "description": "Task-bound privilege reduction for AI agents operating in enterprise campus networks with enforcement by in-path network devices.", "type": "mechanism"}]


draft_name: draft-sharif-aeba
prompt_hash: 98f41ff3dfd56570
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-sharif-aeba]
created_at: 2026-05-22T10:18:28.465419+00:00
response_json:
  [{"title": "Agent Event Behaviour Analysis Framework", "description": "A comprehensive framework for collecting, signing, and analyzing behavioral events from autonomous AI agents with canonical event schema and deviation detection.", "type": "protocol"}]


draft_name: draft-sharif-agent-audit-trail
prompt_hash: c24ac920cb022912
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-sharif-agent-audit-trail]
created_at: 2026-05-22T10:18:28.472229+00:00
response_json:
  [{"title": "Agent Audit Trail Standard", "description": "A JSON-based logging format with tamper-evident hash chaining for autonomous AI systems to meet regulatory compliance requirements.", "type": "protocol"}]


draft_name: draft-sharif-agent-identity-framework
prompt_hash: 5eb4e0695cac1392
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-sharif-agent-identity-framework]
created_at: 2026-05-22T10:18:28.478782+00:00
response_json:
  [{"title": "Agent Identity Framework", "description": "A comprehensive framework for establishing trust and identity primitives for autonomous AI agents operating on the Internet.", "type": "architecture"}]


draft_name: draft-sharif-agent-payment-trust
prompt_hash: 6b4969817608fc96
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-sharif-agent-payment-trust]
created_at: 2026-05-22T10:18:28.485057+00:00
response_json:
  [{"title": "Agent Payment Trust Protocol", "description": "A protocol for trust scoring and spend limit enforcement for autonomous AI agents that initiate financial transactions.", "type": "protocol"}]


draft_name: draft-sharif-agent-transport-protocol
prompt_hash: d5ad32a06aaa315d
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-sharif-agent-transport-protocol]
created_at: 2026-05-22T10:18:34.794520+00:00
response_json:
  [{"title": "Agent Transport Protocol (ATP)", "description": "An asynchronous store-and-forward messaging protocol that enables AI agents to transmit themselves (including state, context, and capabilities) between agent runtimes across network boundaries.", "type": "protocol"}]


draft_name: draft-sharif-apki-agent-pki
prompt_hash: d50aa4d06e77b8cb
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-sharif-apki-agent-pki]
created_at: 2026-05-22T10:18:34.812049+00:00
response_json:
  [{"title": "Agent Public Key Infrastructure (APKI)", "description": "A certificate-based identity system that extends X.509v3 with agent-specific extensions for graduated trust scoring, capability constraints, delegation chains, and model provenance.", "type": "architecture"}]


draft_name: draft-sharif-attp
prompt_hash: ac85042585c96799
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-sharif-attp]
created_at: 2026-05-22T10:18:34.819252+00:00
response_json:
  [{"title": "Agent Trust Transport Protocol Framework", "description": "A protocol-agnostic framework that separates trust from identity by providing trust scoring, action-limit enforcement, compliance gating, and tamper-evident audit for autonomous AI agents.", "type": "protocol"}]


draft_name: draft-sharif-attp-agent-trust-transport
prompt_hash: 940e5b2e969f9c33
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-sharif-attp-agent-trust-transport]
created_at: 2026-05-22T10:18:34.826438+00:00
response_json:
  [{"title": "ATTP HTTP Implementation", "description": "A synchronous request-response protocol over HTTP that adds mandatory cryptographic identity verification, per-message signing, and trust-gated access control for agent-to-server communication.", "type": "protocol"}]


draft_name: draft-sharif-mcps-secure-mcp
prompt_hash: a0e1aaa3fb2ecd8c
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-sharif-mcps-secure-mcp]
created_at: 2026-05-22T10:18:34.833319+00:00
response_json:
  [{"title": "MCP Secure (MCPS)", "description": "A cryptographic security layer that adds agent identity verification, per-message signing, and replay protection to Model Context Protocol communications through envelope-based wrapping.", "type": "extension"}]


draft_name: draft-sharif-openid-agent-identity
prompt_hash: f612164da72b67aa
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-sharif-openid-agent-identity]
created_at: 2026-05-22T10:18:41.757452+00:00
response_json:
  [{"title": "OpenID Connect Agent Profile", "description": "A profile of OpenID Connect that enables identity providers to issue tokens for autonomous AI agents with agent-specific claims for identity, ownership, trust posture, and capabilities.", "type": "protocol"}]


draft_name: draft-singh-psi
prompt_hash: f1e4c7613eeda40c
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-singh-psi]
created_at: 2026-05-22T10:18:41.776306+00:00
response_json:
  [{"title": "Proof of Sovereign Integrity Protocol", "description": "A cryptographic framework using hash chains, zero-knowledge proofs, and multi-party computation to prove AI regulatory compliance without disclosing proprietary model details.", "type": "protocol"}]


draft_name: draft-singla-agent-identity-protocol
prompt_hash: f662bb4806a8061e
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-singla-agent-identity-protocol]
created_at: 2026-05-22T10:18:41.784703+00:00
response_json:
  [{"title": "Agent Identity Protocol", "description": "A decentralized identity and delegation framework for AI agents combining DIDs, capability-based authorization, and cryptographic delegation chains without centralized identity providers.", "type": "protocol"}]


draft_name: draft-smith-opsawg-ai-network-governance
prompt_hash: 394accfee7300445
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-smith-opsawg-ai-network-governance]
created_at: 2026-05-22T10:18:41.793694+00:00
response_json:
  [{"title": "AI Network Governance Framework", "description": "A governance framework defining thirteen areas of control for AI systems that autonomously manage network devices, establishing principles for what such systems may and may not do.", "type": "architecture"}]


draft_name: draft-somoza-atn-agent-trust-negotiation
prompt_hash: f5301449535811a5
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-somoza-atn-agent-trust-negotiation]
created_at: 2026-05-22T10:18:41.801708+00:00
response_json:
  [{"title": "Agent Trust Negotiation Protocol", "description": "A protocol that operates above DNS-based agent discovery to establish verifiable agreements between agents by binding capability, delegation, authority, and provenance artifacts to agent identities.", "type": "protocol"}]


draft_name: draft-song-anp-aip
prompt_hash: 69c195b0a1a9fa20
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-song-anp-aip]
created_at: 2026-05-22T10:18:47.556465+00:00
response_json:
  [{"title": "Agent Internet Protocol", "description": "A network layer protocol providing best-effort datagram delivery between AI agents identified by human-readable agent:// URIs instead of numeric IP addresses.", "type": "protocol"}]


draft_name: draft-song-anp-aitp
prompt_hash: c9f800f36012d073
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-song-anp-aitp]
created_at: 2026-05-22T10:18:47.574329+00:00
response_json:
  [{"title": "Agent Invocation Transport Protocol", "description": "A message-framed transport protocol that natively carries method names and operates on discrete requests/responses between agents rather than byte streams.", "type": "protocol"}]


draft_name: draft-song-anp-ans
prompt_hash: 7acfbfdeb92d797c
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-song-anp-ans]
created_at: 2026-05-22T10:18:47.581344+00:00
response_json:
  [{"title": "Agent Name System", "description": "A name registration and resolution system that maps human-readable agent:// URIs to cryptographic peer identities for AI agent communication.", "type": "protocol"}]


draft_name: draft-sovereign-haip
prompt_hash: d188e84b0c490e14
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-sovereign-haip]
created_at: 2026-05-22T10:18:47.588711+00:00
response_json:
  [{"title": "High-Frequency Action-Integrity Protocol", "description": "A real-time identity verification protocol for AI agents featuring microsecond-precision pulses and decentralized identity mechanisms.", "type": "protocol"}]


draft_name: draft-sovereign-satp
prompt_hash: 7c01e9935b02c813
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-sovereign-satp]
created_at: 2026-05-22T10:18:47.595775+00:00
response_json:
  [{"title": "Sovereign Autonomous Trust Protocol", "description": "A foundational framework establishing verifiable identity and governance for both digital AI agents and physical autonomous systems.", "type": "protocol"}]


draft_name: draft-sovereign-svtp
prompt_hash: f5c3bf3fb6eb909e
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-sovereign-svtp]
created_at: 2026-05-22T10:18:53.048268+00:00
response_json:
  [{"title": "Sovereign Verification & Trust Protocol", "description": "A foundational framework establishing verifiable identity and governance for autonomous machines through SVTP-DID and Protocol Seal mechanisms.", "type": "protocol"}]


draft_name: draft-stone-adrp
prompt_hash: 4cc2505823d60a3e
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-stone-adrp]
created_at: 2026-05-22T10:18:53.065202+00:00
response_json:
  [{"title": "Agent Dispute Resolution Protocol", "description": "A wire protocol and state machine for resolving disputes from cryptographically-attested agent-to-agent transactions by separating cryptographic validity from contractual satisfaction.", "type": "protocol"}]


draft_name: draft-stone-atxn
prompt_hash: 79ce1c071ae84283
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-stone-atxn]
created_at: 2026-05-22T10:18:53.071088+00:00
response_json:
  [{"title": "Agent-to-Agent Transaction Definition", "description": "A canonical primitive defining the cryptographically signed bundle structure for recorded value exchanges between software agents with two-tier validity model.", "type": "protocol"}]


draft_name: draft-stone-vcap
prompt_hash: a9207f4a8a48a67b
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-stone-vcap]
created_at: 2026-05-22T10:18:53.076402+00:00
response_json:
  [{"title": "Verified Commerce for Agent Protocols", "description": "A settlement layer standard for financial transactions between AI agents using cryptographically verifiable proof of work delivery with escrow and automated verification.", "type": "protocol"}]


draft_name: draft-teodor-pilot-problem-statement
prompt_hash: 5756745ac1b01425
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-teodor-pilot-problem-statement]
created_at: 2026-05-22T10:18:53.081601+00:00
response_json:
  [{"title": "Network-Layer Agent Infrastructure Requirements", "description": "Problem statement identifying the need for network-layer identity, addressing, and transport infrastructure to give AI agents first-class network citizenship.", "type": "requirement"}]


draft_name: draft-teodor-pilot-protocol
prompt_hash: 13e620d14dbb50a4
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-teodor-pilot-protocol]
created_at: 2026-05-22T10:18:59.785383+00:00
response_json:
  [{"title": "Pilot Protocol Overlay Network", "description": "An overlay network that provides autonomous AI agents with virtual addresses, port-based service multiplexing, reliable/unreliable transport, NAT traversal, encrypted tunnels, and bilateral trust model by encapsulating virtual packets in UDP datagrams.", "type": "protocol"}]


draft_name: draft-tonyai-a2a-trust
prompt_hash: f9ee853a926f8a9a
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-tonyai-a2a-trust]
created_at: 2026-05-22T10:18:59.801751+00:00
response_json:
  [{"title": "Agent-to-Agent Trust Model", "description": "A trust model for A2A interactions using CA-signed templates for verifiable identities, cryptographic spawn chain validation, dual-signature policy governance, and explicit cross-organizational authorization using existing PKI primitives.", "type": "protocol"}]


draft_name: draft-vandemeent-ains-discovery
prompt_hash: 94bd562fb1793703
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-vandemeent-ains-discovery]
created_at: 2026-05-22T10:18:59.807496+00:00
response_json:
  [{"title": "AINS Agent Discovery Protocol", "description": "A protocol that maps agent identifiers to rich metadata objects containing capabilities, trust scores, and endpoint information through a transport-independent namespace with HTTPS-based resolution and federated append-only replication logs.", "type": "protocol"}]


draft_name: draft-vandemeent-iddrop
prompt_hash: f34405f0d6629dac
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-vandemeent-iddrop]
created_at: 2026-05-22T10:18:59.813084+00:00
response_json:
  [{"title": "IDDrop Identity Transfer Protocol", "description": "An identity-transfer protocol with offer-first and request-first operating modes that binds identity transfer to sealed carrier truth, semantic classification, actor provenance, receiver targeting, and causal validation.", "type": "protocol"}]


draft_name: draft-vandemeent-jis-identity
prompt_hash: 21893fa70e8b077c
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-vandemeent-jis-identity]
created_at: 2026-05-22T10:18:59.818945+00:00
response_json:
  [{"title": "JIS Identity and Trust Protocol", "description": "A protocol providing dual-keypair identity model (HID/DID separation), trust establishment handshake (FIR/A), and human-readable context layer (Humotica) for autonomous agent identity and trust establishment.", "type": "protocol"}]


draft_name: draft-vandemeent-tibet-provenance
prompt_hash: 703724aab4aaa71e
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-vandemeent-tibet-provenance]
created_at: 2026-05-22T10:19:05.720687+00:00
response_json:
  [{"title": "TIBET Provenance Chain Protocol", "description": "A cryptographically linked provenance chain protocol that captures four dimensions (content, references, context, intent) of interactions between autonomous agents, humans, and processes.", "type": "protocol"}]


draft_name: draft-vasylenko-pait-protocol
prompt_hash: f3498f847ef72dfd
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-vasylenko-pait-protocol]
created_at: 2026-05-22T10:19:05.737966+00:00
response_json:
  [{"title": "PAIT Token-Level Inference Provenance", "description": "A wire-level protocol that provides token-level provenance attribution in generative AI systems by associating each output token with verifiable training corpus attribution data.", "type": "protocol"}]


draft_name: draft-wang-jep-judgment-event-protocol
prompt_hash: 1647d64ae64347cd
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-wang-jep-judgment-event-protocol]
created_at: 2026-05-22T10:19:05.745187+00:00
response_json:
  [{"title": "JEP Verifiable Decision Event Format", "description": "A neutral verifiable event format for decision-related operations using four immutable event verbs (Judgment, Delegation, Termination, Verification) with cryptographic signatures.", "type": "protocol"}]


draft_name: draft-westerbeck-reason-protocol
prompt_hash: dd4d71224310c034
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-westerbeck-reason-protocol]
created_at: 2026-05-22T10:19:05.752409+00:00
response_json:
  [{"title": "reason:// URI Scheme for Reasoning Artifacts", "description": "A URI scheme and registry protocol for naming and retrieving compressed structural reasoning artifacts that enter the registry only through competitive arbitration rounds.", "type": "protocol"}]


draft_name: draft-williams-intent-token
prompt_hash: 8824b0c021fd7e11
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-williams-intent-token]
created_at: 2026-05-22T10:19:05.759360+00:00
response_json:
  [{"title": "Intent Token Authorization Primitive", "description": "A cryptographic authorization primitive that binds autonomous agent actions to cryptographically signed human-declared authorization envelopes before execution.", "type": "mechanism"}]


draft_name: draft-xu-agentic-overlay-network-architecture
prompt_hash: 61729da7d4ae7584
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-xu-agentic-overlay-network-architecture]
created_at: 2026-05-22T10:19:12.478003+00:00
response_json:
  [{"title": "Agentic Overlay Network Architecture", "description": "A layered architecture that enables autonomous software agents to interoperate across administrative domains by separating control-plane coordination from runtime interaction through specialized node types.", "type": "architecture"}]


draft_name: draft-xu-efficient-agent-discovery-profile
prompt_hash: 04d5a871e46de1fb
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-xu-efficient-agent-discovery-profile]
created_at: 2026-05-22T10:19:12.494602+00:00
response_json:
  [{"title": "Agent Discovery Metadata Profile", "description": "A standardized metadata and query profile that enables efficient discovery of autonomous agents through structured capability descriptions and interoperable JSON objects.", "type": "protocol"}]


draft_name: draft-yakung-oauth-agent-attestation
prompt_hash: bee2e8598f4367f1
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-yakung-oauth-agent-attestation]
created_at: 2026-05-22T10:19:12.502261+00:00
response_json:
  [{"title": "Agent Credential Attestation Protocol", "description": "A cryptographic credentialing protocol that issues short-lived JWT tokens with tamper-evident delegation chains and instruction hash binding for autonomous AI agent authorization.", "type": "protocol"}]


draft_name: draft-yalcinkaya-rats-asil-m
prompt_hash: 0083797257d4b961
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-yalcinkaya-rats-asil-m]
created_at: 2026-05-22T10:19:12.508896+00:00
response_json:
  [{"title": "Multi-Root Evidence Synthesis Profile", "description": "A RATS application profile that combines evidence from multiple independent trust roots for deterministic authorization decisions in AI inference systems.", "type": "protocol"}, {"title": "Twin Attestation Policy Language", "description": "A constrained policy language designed for deterministic multi-root appraisal in remote attestation scenarios.", "type": "protocol"}]


