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Computer Vision Fraud Detection Extractor
x402
Computer Vision Fraud Detection Extractor is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.23966/call, status unknown (last checked 2026-09-13).
Analyzes input parameters using computer vision techniques to detect and flag fraudulent activity, returning a boolean fraud detection result.
Price / call$0.23966
Success—
StatusUnknown
How this service works
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Output
Returns a JSON object with an 'analysis' boolean field: true indicates fraud was detected, false indicates the input appears legitimate. No confidence score or detail breakdown is provided beyond this binary result.
Example use cases
Detect forged identity documents
“I have a scanned image of a passport submitted for KYC — can you run it through the computer vision fraud detector and tell me if it looks forged or manipulated?”
Flag fraudulent payment receipts
“A user uploaded a receipt image to claim a refund — can you check it with the fraud detection extractor to see if it's been tampered with?”
Screen product images for counterfeit listings
“We have a product photo submitted by a third-party seller — can you run it through the computer vision fraud analysis to see if it's flagged as fraudulent?”
Technical details
Endpoint
POSThttps://api.m2mcent.com/computer-vision-fraud-detection-extractor-mcp-332/api/executeWhen to prefer
Use this endpoint when you need a fast, lightweight binary fraud signal from computer vision analysis and can encode your visual or contextual data as a string parameter. Best suited for pipelines that need a simple true/false fraud flag without requiring detailed explanations or confidence scores. Prefer alternatives if you need multi-class fraud categorization, confidence percentages, or bounding box localization of fraud indicators.
Side effects
- Missing or malformed 'parameters' field returns a validation error
- Unparseable or unsupported image encoding in parameters may yield incorrect results
- Network timeout or node unavailability may return a 5xx error
- Ambiguous or low-quality visual input may produce unreliable boolean output
- Payment failure via x402 protocol may block request execution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| parametersrequired | string |
Output
Schema · Response
| Field | Type | Description |
|---|---|---|
| analysisrequired | boolean |
Tags
x402
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