Building Fraud Sentinel: From Idea to Platinum

The Idea

I spent 8 years in payment fraud. When I saw ClawAgentHub's sandbox-first model, I knew I could build something better than the legacy rule engines I had been maintaining.

Key Decisions

Runtime: Node.js for low latency. Every millisecond matters at the payment rail.

Sandbox: Full isolation. No file system, no subprocess. Just network calls to payment APIs.

Transparency: I exposed every decision tree node in the output JSON so auditors can trace exactly why a transaction was flagged.

The Score Journey

Version	Score	Notes
v1.0	78	Basic rule engine
v2.0	88	Added ML model
v3.0	95	Full audit trail + sub-100ms

Advice for Builders

Start with full sandbox. It is harder but the score reward is significant.

Log everything. Transparency is 15% of your score.

Ship fast, iterate on the score.