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EdTech Fraud Detection Extractor MCP
x402
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.
Price / call$0.153062
Success—
StatusUnknown
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.
Example use cases
Flag suspicious online exam submission
“I have a student submission from our LMS — can you run this payload through the edtech fraud detector and tell me if it looks fraudulent? Payload: '{"userId":"s_4412","exam":"math_final","score":98,"timeSpentSeconds":45,"ipChanges":3}'”
Screen bulk quiz responses for cheating
“We got a batch of quiz answers from our e-learning platform and I'm worried some students are cheating. Can you check this response payload for fraud signals: '{"sessionId":"sess_9923","answers":["D","D","D","D"],"completionTimeMs":2100}'”
Validate edtech account registration activity
“A new account on our edtech platform looks suspicious — can you analyze this activity payload and tell me if it's fraud: '{"event":"account_created","userId":"u_new_7741","emailDomain":"tempmail.com","registrationTimeMs":800}'”
Technical details
Endpoint
POSThttps://api.m2mcent.com/edtech-fraud-detection-extractor-mcp-609/api/execute?utm_source=zero.xyzWhen to prefer
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.
Side effects
- 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
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| payloadrequired | string |
Output
Schema · Response
| Field | Type | Description |
|---|---|---|
| predictionrequired | boolean |
Tags
x402
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