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M2MCent Logistics Fraud Detection Auditor MCP
x402
M2MCent Logistics Fraud Detection Auditor MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.021668/call, status unknown (last checked 2026-10-09).
Analyzes a logistics-related prompt to detect and audit fraud signals in supply chain or shipping operations.
Price / call$0.021668
Success—
StatusUnknown
How this service works
The premier global index of 1,069 monetized MCP nodes across 205 specialized subdomains. Gasless USDC runtime settlements via x402 V2 Spec on Base L2. Save 95% token context.
Output
Returns a JSON object with a 'summary' boolean indicating whether fraud was detected in the submitted logistics prompt or transaction data.
Example use cases
Freight billing fraud check
“I have a suspicious freight invoice where the carrier charged us twice for the same delivery on the same route last Tuesday — can you run a fraud audit on it and tell me if it looks fraudulent?”
Supply chain anomaly screening
“We received a cargo manifest that has mismatched pickup times and duplicate container IDs across three shipments from our Shanghai supplier — can you audit this for fraud signals?”
Last-mile delivery irregularity detection
“Several last-mile deliveries this week show GPS coordinates that don't match the destination addresses and the drivers logged completion before the delivery window opened — please audit these for potential fraud.”
Technical details
Endpoint
POSThttps://api.m2mcent.com/logistics-fraud-detection-auditor-mcp-258/api/execute?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need a quick, low-cost fraud signal on logistics or supply chain data and a boolean fraud-detected flag is sufficient. Best suited for high-volume automated pipelines screening shipments in real time via x402 micropayment settlement.
Side effects
- Missing required 'prompt' field returns validation error
- Vague or unstructured prompt may yield low-confidence or incorrect boolean result
- Payment failure via x402 protocol blocks execution
- Ambiguous logistics data may produce false positives or false negatives
- Response schema only returns a boolean, not a detailed explanation of fraud signals
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| promptrequired | string |
Output
Schema · Response
| Field | Type | Description |
|---|---|---|
| summaryrequired | boolean |
Tags
x402
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