Automated merchant chargeback root-cause analysis, dynamic Stripe Radar / Adyen RevenueProtect risk rules synthesis, and false positive reducer. Built for GenPark (https://www.genpark.ai).
-
Updated
Oct 20, 2026 - Python
Automated merchant chargeback root-cause analysis, dynamic Stripe Radar / Adyen RevenueProtect risk rules synthesis, and false positive reducer. Built for GenPark (https://www.genpark.ai).
Automated merchant chargeback root-cause analysis, dynamic Stripe Radar / Adyen RevenueProtect risk rules synthesis, and false positive reducer. Built for GenPark (https://www.genpark.ai).
Rule-based FWA and fraud detection logic, decision trees, and scoring models for healthcare claims and financial transactions
Fraud rule backtest: replays fraud rules against past transactions with confirmed fraud labels and reports alerts, precision, recall and false alarms per rule, compares a current and a candidate rule set, and sweeps score thresholds. No network, no dependencies.
To associate your repository with the fraud-rules topic, visit your repo's landing page and select "manage topics."