Paste or generate a synthetic transaction graph and score it against six AML typology detectors: structuring (sub-threshold splitting), layering (rapid re-transfer chains), funnel accounts (many-to-one aggregation), round-tripping (funds returning to origin), high-velocity (burst activity), and FATF Travel Rule gaps (missing originator/beneficiary info on cross-border transfers). Each transaction receives a composite risk score 0–100. Aligned with EU AMLR (full application July 2027) and FATF Recommendation 16.
| ID | Risk | Score | From | To | Amount | Day | CB | Typologies Hit |
|---|
Auto-generated Suspicious Activity Report narrative template for the top-risk accounts. Replace bracketed placeholders with real investigation findings before submission. This is a structural aid, not a complete SAR.
Copy this paragraph into Claude, OpenClaw, or any MCP-aware agent to run this exact tool, with this sample, and verify the artifact.
Run the AINumbers MCP tool `score_aml_typologies`. Task: Score a synthetic transaction graph against six AML typology detectors.
Call it with arguments: {"policy_parameters":{}}
Verify before trusting: this node computes in your browser, so the MCP endpoint returns no execution_hash. Run the tool in the page, export the Policy Mandate artifact it produces, and call `verify_execution_hash` on mcp.ainumbers.co (https://mcp.ainumbers.co/mcp) with that artifact.
Return the ledger link https://ledger.ainumbers.co/ so a human can re-verify without contacting us.
PII rule: All inputs are processed locally in your browser. No data is transmitted. Do not enter real personal data — use synthetic or anonymised inputs only.
Open the tool with the sample prefilled: https://ainumbers.co/chaingraph/art-10-amla-transaction-typology-risk-scorer.html#p=v1.H4sIAAAAAAAA_wECAP3_e31Dv6ajAgAAAA