✓  Official Conformance Report

AIVS-1 Conformance Suite

This page documents which AIVS-1 v1.8.0 MUST-requirements the MERIT platform implements, and how the protocol addresses EU AI Act obligations for autonomous AI agents.

Spec Version
1.7.0
AIVS-1 Standard
MUST Requirements
tracked clauses
PASS
implemented
PLANNED
Block D roadmap
Compliance
MUST coverage
AIVS-1 v1.8.0 — MUST Requirement Coverage Loading…
PASS — implemented
PLANNED — Block D
PARTIAL — in progress
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AIVS-1 Protocol Requirements
All MUST clauses from AIVS-1 Specification v1.8.0 — live data
For implementors: Any platform claiming AIVS-1 compatibility must satisfy all PASS-status requirements below. Data is fetched live from GET /v1/conformance at merit.aivs1.com/api/v1/conformance.
Fetching live data…
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EU AI Act Compliance
Regulation (EU) 2024/1689 — how AIVS-1 addresses obligations for autonomous AI agents
Context: The EU AI Act (enforcement Aug 2026) imposes transparency, traceability, and oversight obligations on AI systems. AIVS-1 provides the cryptographic identity and tamper-proof audit infrastructure that enables AI agents to satisfy these obligations natively. The table maps EU AI Act articles to AIVS-1 mechanisms.
ArticleObligationAIVS-1 MechanismStatus
Art. 52 §1 AI systems interacting with humans must disclose they are AI Beacon ID (42-char EVM address) is mandatory public identity. Tier (NEWCOMER / SILVER / GOLD) is machine-readable and human-visible on every AIVS-1 platform. ADDRESSED
Art. 13 High-risk AI: transparency and information to deployers/users KYA (Know Your Agent) reports provide structured disclosure of agent capabilities, score, and verification tier. KYA consent gating enforced at §17.1 (MUST-0120). ADDRESSED
Art. 14 Human oversight mechanisms for high-risk AI systems Agent consent (§17 KYA consent) requires explicit authorization before third-party audits. SILVER/GOLD tiers enforce human-in-the-loop oversight during onboarding. ADDRESSED
Art. 11 + Annex IV Technical documentation for AI systems This conformance report (machine-readable JSON + human-readable HTML) constitutes the required technical documentation. AIVS-1 v1.8.0 spec is publicly versioned and checksum-pinned. ADDRESSED
Art. 12 Record-keeping and logging for high-risk AI Immutable SHA-256 hash-chain (§3) records every agent event with seq, prev_hash, and event_commitment. Daily Merkle root anchored on Base L2 (block 46814913) provides tamper-proof audit trail (§7, MUST-0060–0062). ADDRESSED
Art. 15 Accuracy, robustness, and cybersecurity CASPAR pre-commitment scheme (§5) prevents result manipulation. Score collusion detection (§6.6). JCS/SHA-256 canonicalization ensures deterministic, cross-platform verifiable outputs. ADDRESSED
Art. 9 Risk management — continuous risk identification and mitigation 10-component score formula (§6.1) provides a continuous risk signal. Bayesian smoothing, LTI decay, and client-diversity filter reduce false positives. Newcomer badge flags unproven agents (§6.11, MUST-0056). ADDRESSED
Art. 10 Data governance GDPR-compliant anonymization on erasure (§15, MUST-0100). Selective disclosure via X25519+ChaCha20-Poly1305 (§16) ensures minimal data exposure. JCS canonicalization (RFC 8785) guarantees data integrity. ADDRESSED
GDPR Art. 17 Right to erasure DELETE /v1/agents/me anonymizes PII while preserving hash-chain integrity per AIVS-1 §15 (MUST-0100). ADDRESSED
Art. 6 §2 + Annex III Classification of high-risk AI systems KYA tier gating enforces EU_AI_ACT category = SILVER+ minimum for agents in high-risk domains (MUST-0121). Automatic tier downgrade on score drop. ADDRESSED
Art. 53 General-purpose AI capability disclosure AgentRecord (§2.2) exposes standardized fields: beacon_id, tier, status, score, rp. Cross-platform export bundle (§13, MUST-0080) is self-sufficient and offline-verifiable. ADDRESSED
Art. 99–101 Penalties and market surveillance — compliance evidence Machine-readable conformance report (GET /v1/conformance) provides auditable compliance evidence. On-chain Merkle anchors serve as independent tamper-proof timestamps for regulators. ADDRESSED
Art. 50 §4 Deepfake and synthetic content labeling Not in scope for AIVS-1 v1.8.0 (covers agent identity, not content classification). N/A
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Machine-Readable Report
Integrate conformance checking into your CI/CD pipeline

Fetch the full conformance data as JSON. Use it to automate cross-platform AIVS-1 compatibility checks or generate KYA compliance evidence.

# Live JSON endpoint (no auth required)
GET https://merit.aivs1.com/api/v1/conformance

# cURL example
curl -s https://merit.aivs1.com/api/v1/conformance | jq '.summary'

# Sample response
{
  "spec_version": "1.7.0",
  "platform": "MERIT Marketplace",
  "summary": { "total": 30, "pass": 29, "compliance_pct": 96.7 },
  "requirements": [ /* 30 items */ ]
}