# EdTech Fraud Detection Extractor MCP

> EdTech Fraud Detection Extractor MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.153062/call, status unknown (last checked 2026-10-13).

Detects fraud in edtech contexts by analyzing a payload string and returning a boolean prediction indicating whether fraud is present.

## Facts

- Endpoint: POST https://api.m2mcent.com/edtech-fraud-detection-extractor-mcp-609/api/execute?utm_source=zero.xyz
- Price: $0.153062/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-13
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/edtech-fraud-detection-extractor-mcp-2e26b898
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_aUi60KgM7iDb8vgYrYLIL

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-extractor-mcp-2e26b898 -d '<json body>'
```

Example prompt: Check this edtech submission payload for fraud and tell me if it's flagged: '{"userId":"u_8821","submissionType":"quiz","answers":["A","B","C"],"timeSpentSeconds":12}'

## When to prefer this

Use this endpoint when you need a fast, lightweight boolean fraud signal specifically tuned for edtech contexts — such as detecting academic cheating, suspicious quiz submissions, or fraudulent e-learning account activity — and want a simple true/false output without needing a full explainability report.

## Known failure modes

- Missing or empty payload field returns validation error
- Malformed JSON payload string may cause processing failure
- Ambiguous or insufficient payload data may reduce prediction accuracy
- Network timeout if the MCP node is temporarily unavailable
- Payment failure via x402 protocol prevents 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 'prediction' boolean field: true if the payload is classified as fraudulent edtech activity, false if it appears legitimate.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "payload"
 ],
 "properties": {
  "payload": {
   "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/edtech-fraud-detection-extractor-mcp-2e26b898/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)