detect_fraud
Analyze transaction data to identify fraudulent activity, providing fraud scores, risk indicators, and actionable recommendations for blockchain transactions.
Instructions
AI-powered fraud detection for transactions.
Args: transaction_data: Transaction details to analyze
Returns: Fraud score, risk indicators, and recommendations.
Price: $0.50
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| transaction_data | Yes |
Implementation Reference
- coinrailz_mcp/__init__.py:766-780 (handler)The detect_fraud tool is defined here using the @mcp.tool() decorator. It calls the underlying 'fraud-detection' service via call_coinrailz_service and returns the result as a formatted JSON string.
@mcp.tool() async def detect_fraud(transaction_data: dict) -> str: """ AI-powered fraud detection for transactions. Args: transaction_data: Transaction details to analyze Returns: Fraud score, risk indicators, and recommendations. Price: $0.50 """ result = await call_coinrailz_service("fraud-detection", transaction_data) return json.dumps(result, indent=2)