SSI conformance check (ART-80) -> fail-probability scoring on anonymized features (ART-79) -> Merkle integrity over the scored batch (cry-04). Ranks pending trades for pre-settlement intervention; targets the ~30%-of-fails SSI root cause. No PII: features are band-level.
check_ssi_conformance{
"jsonrpc": "2.0",
"method": "tools/call",
"params": {
"name": "check_ssi_conformance",
"arguments": {}
},
"id": 1
}
predict_settlement_fail{
"jsonrpc": "2.0",
"method": "tools/call",
"params": {
"name": "predict_settlement_fail",
"arguments": {}
},
"id": 1
}
verify_merkle_batch{
"jsonrpc": "2.0",
"method": "tools/call",
"params": {
"name": "verify_merkle_batch",
"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: The overnight desk queued a trade with a missing SSI and a breached matching deadline. Will that trade settle, and what drives the call?
Run the AINumbers MCP tool `run_chain` with {"chain":"settlement-discipline-failpredict"} and read `art-79-settlement-fail-predictor.batch_fail_rate_estimate`.
Re-run with `inputs` for `art-79-settlement-fail-predictor`, reusing the values that result echoed, with `trades` changed so one trade whose SSI is missing and whose deadline is breached. 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/settlement-discipline-failpredict.html