# M2MCent AI Safety Image Recognition Aggregator MCP

> M2MCent AI Safety Image Recognition Aggregator MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.889843/call, status unknown (last checked 2026-10-16).

Runs an AI safety image recognition classification on a given prompt/image descriptor and returns a boolean prediction result

## Facts

- Endpoint: POST https://api.m2mcent.com/ai-safety-image-recognition-aggregator-mcp-118/api/execute?utm_source=zero.xyz
- Price: $0.889843/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-16
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/m2mcent-ai-safety-image-recognition-aggregator-mcp-472da674
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ifXO1gzlAXXXH5jvHZtGZ

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-ai-safety-image-recognition-aggregator-mcp-472da674 -d '<json body>'
```

Example prompt: Run an AI safety image recognition check on this image and tell me whether it passes — the image shows a crowded street scene with people and vehicles.

## When to prefer this

Choose this endpoint when you need a lightweight, binary (true/false) AI safety classification on image content via a monetized MCP node with gasless USDC micropayment settlement. Best for pipelines where a quick safe/unsafe flag is sufficient and cost-per-call economics matter.

## Known failure modes

- Missing required 'prompt' field returns validation error
- Ambiguous or non-image-related prompt may yield unreliable boolean
- Payment failure via x402 protocol prevents execution
- Network timeout on Base L2 settlement causes request failure
- Empty string prompt may return indeterminate prediction

## 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' indicating whether the image described in the prompt passes (true) or fails (false) the AI safety image recognition check.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "prompt"
 ],
 "properties": {
  "prompt": {
   "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-ai-safety-image-recognition-aggregator-mcp-472da674/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)
