Fuzzy-match FPR/recall scoring + threshold calibration on a synthetic labelled name-pair set (ART-93) -> audit receipt (cry-05). Tunes the matching engine without touching real names.
score_fuzzy_match_calibration{
"jsonrpc": "2.0",
"method": "tools/call",
"params": {
"name": "score_fuzzy_match_calibration",
"arguments": {}
},
"id": 1
}
aggregate_execution_receipts{
"jsonrpc": "2.0",
"method": "tools/call",
"params": {
"name": "aggregate_execution_receipts",
"arguments": {}
},
"id": 1
}
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: A calibration run sits three steps deep in an agent chain. What aggregate depth does its audit trail record?
Run the AINumbers MCP tool `run_chain` with {"chain":"sanctions-fuzzy-calibration"} and read `cry-05-agent-action-audit-trail-aggregator.aggregator_chain_depth`.
Re-run with `inputs` for `cry-05-agent-action-audit-trail-aggregator`, reusing the values that result echoed, with `artifacts` changed so one receipt whose chain depth is 3. 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/sanctions-fuzzy-calibration.html