Conformance corpora and reference verifiers for AI-agent and supply-chain evidence formats
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Updated
Nov 2, 2026 - Python
Conformance corpora and reference verifiers for AI-agent and supply-chain evidence formats
Open tools that check claims about AI agents against evidence you pin: an offline verifier with replayable decisions
Walkthrough demo for the execution-evidence path in the Digital Biosphere Architecture.
Verifiable evidence infrastructure for autonomous agents.
Archived: moved to probityai/agent-evidence-vectors
Agent Evidence Format — AI execution evidence constitution
Capture and verify hash-only receipts for new instrumented Claude Code sessions.
Template: record a signed agent action, check a claim about it offline, and replay the conformance vectors in CI.
RedCrag AEP(Agent Execution Profile,智能体执行证据配置文件)给智能体关键动作生成可签名、可校验、可复核的执行证据。
TypeScript SDK for OnChainDiligence — agent payment lifecycle (preflight, execution, settlement observation, receipts) plus a typed client for paid Evidence Provider checks (sanctions, company) via x402.
Validate what an MCP server declares against what it actually does. Declared-vs-observed checks with a tamper-evident SHA-256 evidence ledger.
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