# Computer Vision Metadata Router MCP

> Computer Vision Metadata Router MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.168847/call, status unknown (last checked 2026-10-14).

Accepts an image input and returns a boolean result, likely performing binary classification or validation on the image via a monetized MCP node.

## Facts

- Endpoint: POST https://api.m2mcent.com/computer-vision-metadata-router-mcp-736/api/execute?utm_source=zero.xyz
- Price: $0.168847/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/computer-vision-metadata-router-mcp-5b773b5f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_SCJPYt5-nRGqnXVSNCRqW

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-metadata-router-mcp-5b773b5f -d '<json body>'
```

Example prompt: Can you run this image through the computer vision metadata router to check whether it meets the classification criteria — here's the image URL: https://example.com/photo.jpg

## When to prefer this

Use this endpoint when you need a simple true/false answer from a computer vision analysis on an image, particularly in automated pipelines where binary classification or presence detection is needed and you want a monetized, on-demand MCP-routed call without managing your own model infrastructure.

## Known failure modes

- Missing 'image' field returns validation error
- Invalid or inaccessible image URL may cause processing failure
- Ambiguous image format may produce unexpected boolean result
- Payment failure over x402 protocol may block execution
- Timeout if image is too large or slow to fetch

## 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 'result', indicating whether the image passes or fails the binary classification or validation check performed by the computer vision MCP node.

## Request schema (JSON Schema)

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

## Response schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/computer-vision-metadata-router-mcp-5b773b5f/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)