# AI Safety Metadata Analyzer MCP

> AI Safety Metadata Analyzer MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.187708/call, status unknown (last checked 2026-09-14).

Analyzes an image and returns a boolean result indicating whether it passes AI safety metadata checks

## Facts

- Endpoint: POST https://api.m2mcent.com/ai-safety-metadata-analyzer-mcp-670/api/execute
- Price: $0.187708/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/ai-safety-metadata-analyzer-mcp-aa40c433
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_wfBPlAa2Tuv6hLJe1_THl

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 ai-safety-metadata-analyzer-mcp-aa40c433 -d '<json body>'
```

Example prompt: Can you run this image through an AI safety metadata check and tell me if it passes or fails?

## When to prefer this

Use this endpoint when you need a fast, low-cost binary AI safety classification for images and do not require detailed explanations or category breakdowns. Suitable for automated pipelines where a pass/fail gate is sufficient.

## Known failure modes

- Missing or invalid image input returns a validation error
- Malformed image data or unsupported format may cause processing failure
- Payment failure via x402 protocol results in 402 response and no analysis
- Network timeout if image payload is too large
- Ambiguous or low-confidence cases may be collapsed to a binary result without explanation

## 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

A JSON object containing a single boolean field indicating whether the image passed (true) or failed (false) the AI safety metadata analysis.

## Request schema (JSON Schema)

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

## Response schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/ai-safety-metadata-analyzer-mcp-aa40c433/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)