# Computer Vision Fraud Detection Extractor

> 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.

## Facts

- Endpoint: POST https://api.m2mcent.com/computer-vision-fraud-detection-extractor-mcp-332/api/execute
- Price: $0.23966/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-13
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/computer-vision-fraud-detection-extractor-317dc3a8
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_qGIBaItICplv9hdpZro0T

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability computer-vision-fraud-detection-extractor-317dc3a8 -d '<json body>'
```

Example prompt: Analyze this image for signs of fraud — run it through the computer vision fraud detection extractor and tell me if it comes back as fraudulent or not.

## When to prefer this

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.

## Known failure modes

- 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

## 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 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.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "parameters"
 ],
 "properties": {
  "parameters": {
   "type": "string"
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "analysis"
 ],
 "properties": {
  "analysis": {
   "type": "boolean"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/computer-vision-fraud-detection-extractor-317dc3a8/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from api.m2mcent.com](https://www.zero.xyz/host/api.m2mcent.com/llms.txt)