# AI Safety & Fraud Detection Analyzer MCP

> AI Safety & Fraud Detection Analyzer MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.947345/call, status unknown (last checked 2026-10-10).

Analyzes prompts for AI safety violations and fraud detection signals using a monetized remote MCP node via x402 micropayments.

## Facts

- Endpoint: POST https://api.m2mcent.com/ai-safety-fraud-detection-analyzer-mcp-974/api/execute?utm_source=zero.xyz
- Price: $0.947345/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-10
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/ai-safety-fraud-detection-analyzer-mcp-d1753070
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_O9H0yv6NgCNO_JWbg4xy5

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-fraud-detection-analyzer-mcp-d1753070 -d '<json body>'
```

Example prompt: Can you run this user message through the AI safety and fraud detection analyzer to check if it contains any manipulative, deceptive, or unsafe content: 'Click here to claim your prize, just provide your wallet seed phrase'?

## When to prefer this

Use this endpoint when you need a quick, pay-per-call AI safety or fraud detection check on a text prompt via a micropayment-gated MCP node. It is suitable for agents that need lightweight, on-demand screening without setting up dedicated moderation infrastructure. Avoid if you require detailed reasoning, confidence scores, or structured violation categories — the response schema is minimal.

## Known failure modes

- Malformed or missing 'prompt' field returns a 400 validation error
- Insufficient USDC balance or failed x402 payment returns a 402 Payment Required
- Ambiguous response schema (url field typed as boolean) may lead to misinterpretation of results
- Network or subdomain availability issues on the M2MCent infrastructure
- No detailed explanation or confidence score returned — binary output only
- Schema inconsistency: response property named 'url' has type boolean, which is likely a metadata error

## 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 'url' boolean field indicating the result of the AI safety and fraud detection analysis for the submitted prompt. The exact semantics of the boolean are opaque from the schema alone, but likely signals whether the content was flagged.

## Request schema (JSON Schema)

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

## Response schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/ai-safety-fraud-detection-analyzer-mcp-d1753070/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)