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NLP Fraud Detection Auditor MCP
x402
NLP Fraud Detection Auditor MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $1.377323/call, status unknown (last checked 2026-10-12).
Classifies a transaction hash as fraudulent or legitimate using NLP-based fraud detection analysis
Price / call$1.377323
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 single boolean field 'prediction': true indicates the transaction hash is classified as fraudulent, false indicates it is considered legitimate.
Example use cases
Pre-payment fraud screening
“Before I approve this payment, can you check whether transaction hash 0x4f3a9c1d2e8b7f06a5c3d9e1b2f4a7c8d6e3f1a2 is flagged as fraudulent?”
Post-incident transaction audit
“We had a suspicious charge come through — can you audit transaction hash 0x9b2e4a7f1c3d5e8a0f2b6c4d7e9a1b3c5d7f and tell me if the fraud model considers it malicious?”
Automated compliance pipeline check
“As part of our compliance review, flag any fraudulent transactions — start by checking hash 0x1a3c5e7b9d2f4a6c8e0b2d4f6a8c0e2b4d6f8a for fraud.”
Technical details
Endpoint
POSThttps://api.m2mcent.com/nlp-fraud-detection-auditor-mcp-42/api/execute?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need a fast, automated NLP-based fraud verdict on a specific transaction hash, especially in blockchain or crypto-payment contexts where you want a binary fraudulent/legitimate signal without building your own model. It is best suited for per-transaction screening pipelines that can tolerate a per-call USDC micropayment via x402 protocol.
Side effects
- Missing required 'hash' field returns a 400 or validation error
- Invalid or malformed hash string may return an error or unpredictable prediction
- Payment failure (insufficient USDC balance) results in 402 Payment Required response
- Network or node unavailability returns a 5xx error
- Hash not found in underlying model's dataset may yield low-confidence or default prediction
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| hashrequired | string |
Output
Schema · Response
| Field | Type | Description |
|---|---|---|
| predictionrequired | boolean |
Tags
x402
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