# M2MCent Data Analytics Image Recognition Monitor MCP

> M2MCent Data Analytics Image Recognition Monitor MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.541685/call, status unknown (last checked 2026-10-16).

Executes a binary image recognition prediction given a hash input, returning a boolean prediction result

## Facts

- Endpoint: POST https://api.m2mcent.com/data-analytics-image-recognition-monitor-mcp-492/api/execute?utm_source=zero.xyz
- Price: $0.541685/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-16
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/m2mcent-data-analytics-image-recognition-monitor-mcp-69a32250
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_OGg90rA4tCON6Pgj_j1tP

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 m2mcent-data-analytics-image-recognition-monitor-mcp-69a32250 -d '<json body>'
```

Example prompt: Run an image recognition check on this content hash 'a3f9c2d1e8b04567' and tell me whether the prediction comes back true or false.

## When to prefer this

Use this endpoint when you need a lightweight, binary image classification result keyed by a content hash rather than uploading raw image data. It is well-suited for pipelines that already compute image hashes and need a fast true/false prediction without transmitting full image payloads. Prefer it over full image analysis APIs when token context efficiency and low-overhead classification are priorities.

## Known failure modes

- Missing or malformed hash input returns a validation error
- Hash not found in the recognition index may return an unexpected prediction value
- Network or payment settlement failure (x402) causes request to be rejected before execution
- Service unavailability across the MCP node returns a 5xx error
- Invalid hash format that doesn't correspond to any indexed content may yield unreliable boolean output

## 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 'prediction' field — true or false — indicating whether the image content identified by the input hash matches the recognized pattern or classification criteria.

## Request schema (JSON Schema)

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

## Response schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/m2mcent-data-analytics-image-recognition-monitor-mcp-69a32250/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)