# NLP Fraud Detection Auditor MCP

> NLP Fraud Detection Auditor MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $1.453867/call, status unknown (last checked 2026-10-13).

Analyzes a natural language prompt to detect and flag potential fraud, returning a boolean audit result

## Facts

- Endpoint: POST https://api.m2mcent.com/nlp-fraud-detection-auditor-mcp-255/api/execute?utm_source=zero.xyz
- Price: $1.453867/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-13
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/nlp-fraud-detection-auditor-mcp-4695d48e
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_SGigQ5MJAuKQ5BecgFWcZ

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 nlp-fraud-detection-auditor-mcp-4695d48e -d '<json body>'
```

Example prompt: Can you run a fraud detection audit on this transaction description: 'Customer claims their card was lost but has made 12 purchases in 3 countries today'?

## When to prefer this

Use this endpoint when you need a fast, lightweight binary fraud flag on a text description and are operating within an x402 micropayment workflow on Base L2. Prefer it over heavier ML pipelines when a yes/no fraud signal is sufficient and you want to avoid spinning up your own NLP model. Best suited for high-throughput screening where cost per call (~$1.45 USDC) is acceptable and the input is a natural language narrative rather than structured transaction data.

## Known failure modes

- Missing 'prompt' field returns a 400 validation error
- Ambiguous or very short prompts may produce unreliable boolean results
- Payment failure (402) if USDC balance is insufficient for the $1.45 per-call fee
- Network or node downtime may return 5xx errors
- No partial or confidence output — only binary result, so borderline cases yield no nuance

## 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 with a single boolean 'result' field: true if fraud is detected in the input prompt, false if the text appears clean. No explanation or confidence score is returned, only a pass/fail determination.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "prompt"
 ],
 "properties": {
  "prompt": {
   "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/nlp-fraud-detection-auditor-mcp-4695d48e/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)