OpenChainGraph Suite · CONTRACT A3 · arch #5

EU AI Act High-Risk Fit & Classification Diagnostic

Note (dated 2026-08-04): a chain composes independent computations performed in an analytical order. No step's output is carried into the next step by the execution model; each step computes from its own declared inputs. This is true of every chain on this site, including chains whose per-step copy below reads as a data handoff.

Single-node D0 diagnostic classifying a financial AI system's high-risk status (Annex III) and grading Article 9-15 readiness + provider/deployer split; screens in-force obligations first (Art 5, Art 4, GPAI) and routes to the right aig-* chain with a do-now vs prepare-ahead checklist.

OpenChainGraph · 1 Step agent guardrail mandate Hash-Anchored §4 chain_depth:1 Client-Side · Zero PII
Chain Topology — EU AI Act High-Risk Fit & Classification Diagnostic
§4 Execution Hash · Chain Definition Anchor
execution_hash:computing…
Chain Stages · 1 Step
1 ROOT · TERMINAL · D0 node
EU AI Act High-Risk Fit & Classification Diagnostic art-64-ai-act-highrisk-fit-diagnostic
high_risk_verdict and primary_recommendation route to aig-conformity / aig-fria-monitoring / aig-fairness-bias / aig-credit-ai-conformity / aig-gpai-agentic / aig-resilience-overlap / aig-audit-pack
MCP Call · run_ai_act_highrisk_fit
{
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "name": "run_ai_act_highrisk_fit",
    "arguments": {}
  },
  "id": 1
}
https://mcp.ainumbers.co/mcp
Export Artifacts
Download the §4 chain definition artifact (hash-anchored composite JSON) or the §13.11 W3C Verifiable Credentials view. Both derive from the chain definition — no new hash is minted. Available after hash computation.

Ask your agent

Copy this paragraph into Claude, OpenClaw, or any MCP-aware agent to run this whole workflow on the server and check one field that answers a real question.

Question: Under the EU AI Act, does our credit-scoring system land in the high-risk class once its Annex III profile is declared?
Run the AINumbers MCP tool `run_chain` with {"chain":"ai-governance-fit"} and read `art-64-ai-act-highrisk-fit-diagnostic.high_risk_verdict`.
Re-run with `inputs` for `art-64-ai-act-highrisk-fit-diagnostic`, reusing the values that result echoed, with `annex_iii_match` set to "clear-high-risk". Compare the same field.
Verify: call `verify_execution_hash` (https://mcp.ainumbers.co/mcp) with `claimed_hash` set to `composite_execution_hash` and the full `composite_artifact`.
Ledger, for a human re-check: https://ledger.ainumbers.co/
PII rule: send synthetic or anonymised inputs only. The MCP server runs these kernels and logs no payloads.
Chain page: https://ainumbers.co/chaingraph/chains/ai-governance-fit.html