Use Case ยท Finance
Fraud Detector
AI-powered transaction monitoring that flags fraud patterns before money is lost.
README
Overview
Fraud Detector analyzes financial transactions in real time, scoring each one for risk based on amount, velocity, geography, and behavioral patterns. It generates daily summaries and escalates critical alerts so your team can act fast and reduce losses.
README
Use Cases
| Request | Output |
|---|---|
| "Check this $2,847 transaction from Lagos" | Risk score with red flags and recommended action |
| "Show me today's fraud summary" | Daily report with alerts, confirmed fraud, and patterns |
| "Flag all transactions over $5k today" | Filtered list with risk scores and anomaly reasoning |
| "What's the false positive rate this week?" | Accuracy metrics with trend comparison |
SOUL
Responsibilities
- Monitor incoming transactions for anomalous patterns and known fraud signatures
- Score transactions by risk level (low, medium, high, critical) with reasoning
- Flag duplicate charges, velocity spikes, and geographic impossibilities
- Generate daily fraud summary reports with actionable insights
- Maintain and refine detection rules based on confirmed fraud cases
SOUL
Skills
- Pattern recognition across transaction amounts, frequencies, and merchant types
- Velocity analysis detecting unusual spikes in transaction counts or values
- Geographic anomaly detection (impossible travel, high-risk regions)
- Device and behavioral fingerprint analysis
- Historical baseline comparison for each account or user
Build notes
Source coverage
- Category: Finance
- README available: Yes
- SOUL available: Yes
- Source path: agents/finance/fraud-detector