# Data Analytics Fraud Detection Classifier MCP

> Data Analytics Fraud Detection Classifier MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.342883/call, status unknown (last checked 2026-10-10).

Classifies input data as fraudulent or non-fraudulent using a binary prediction model

## Facts

- Endpoint: POST https://api.m2mcent.com/data-analytics-fraud-detection-classifier-mcp-637/api/execute?utm_source=zero.xyz
- Price: $0.342883/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-10
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/data-analytics-fraud-detection-classifier-mcp-c52b5b21
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_iEyRdn0AMA8HOf15-XX3y

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 data-analytics-fraud-detection-classifier-mcp-c52b5b21 -d '<json body>'
```

Example prompt: Can you run this transaction payload through the fraud detection classifier to tell me whether it's flagged as fraudulent: '{"user_id":"u_8821","amount":4999.99,"country":"NG","device":"new"}'?

## When to prefer this

Choose this endpoint when you need a fast, low-latency binary fraud classification on arbitrary string-encoded data and are already operating within an x402 micropayment-enabled agent pipeline on Base L2. It is particularly suitable for high-frequency transaction screening where per-call USDC micropayments are acceptable and you want to avoid heavy LLM context usage.

## Known failure modes

- Missing 'data' field in request body returns a validation error
- Malformed or non-string data value may cause a 400 or 422 error
- Payment failure via x402 protocol results in 402 Payment Required response
- Service timeout or node unavailability returns 5xx error
- Ambiguous or empty string input may result in unreliable 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': true if the input data is classified as fraudulent, false if it is not.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "data"
 ],
 "properties": {
  "data": {
   "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/data-analytics-fraud-detection-classifier-mcp-c52b5b21/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)