# EdTech Fraud Detection Analyzer

> EdTech Fraud Detection Analyzer is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.336224/call, status unknown (last checked 2026-10-14).

Analyzes educational technology data to detect fraud, returning a boolean report indicating whether fraud was detected.

## Facts

- Endpoint: POST https://api.m2mcent.com/edtech-fraud-detection-analyzer-mcp-708/api/execute?utm_source=zero.xyz
- Price: $0.336224/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/edtech-fraud-detection-analyzer-32018236
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_HQC8O-lLJMBCtaFowtl-J

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 edtech-fraud-detection-analyzer-32018236 -d '<json body>'
```

Example prompt: Analyze this edtech activity data for fraud and tell me whether it looks suspicious: [paste your data string here].

## When to prefer this

Use this endpoint when you need a lightweight, boolean fraud signal specifically for educational technology data. It is best suited for quick pass/fail fraud screening in edtech contexts where you do not need detailed explanations or scored risk levels, only a true/false fraud flag.

## Known failure modes

- Missing required 'data' field returns a validation error
- Malformed or empty data string may return an unexpected result or error
- Service unavailability may result in a timeout or 5xx error
- Insufficient USDC balance to cover the $0.336224 per-call fee will block execution

## 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 'report': true indicates fraud was detected in the input data, false indicates no fraud was detected.

## Request schema (JSON Schema)

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

## Response schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/edtech-fraud-detection-analyzer-32018236/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)