OpenSnare is an open-source fraud detection and transaction analysis platform that helps you flag suspicious activity in payment data using smart clustering, statistical models, and AI tools. It's designed to give transparency and control back to developers, analysts, and finance ops teams.
OpenSnare works by clustering transaction descriptors, learning what's "normal" over time, and applying statistical reasoning to detect anomalies like weird timings, unfamiliar merchants, or out-of-place amounts.
Use this tool with your financial provider
Userscripts
You can use an extension like Violentmonkey to make OpenSnare easy to use on other websites.Features
- 🧠 Groups similar transaction descriptors (like
SQ*JOE'S COFFEEvsSQ*JOE COFFEE) into consistent clusters using normalization and similarity scoring. - 📊 Tracks transaction volume, hourly frequency, and statistical norms (average, standard deviation) per cluster.
- 🕵️ Computes a fraud score based on Z-scores of amount deviation, unusual transaction hours, and unfamiliar descriptors.
There are 63,328 transactions and 26,750 known merchants in the database.