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M2MCent EdTech Fraud Detection Optimizer MCP Node
x402
M2MCent EdTech Fraud Detection Optimizer MCP Node is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.139755/call, status unknown (last checked 2026-10-15).
Executes an EdTech fraud detection optimization task via a monetized remote MCP node on the M2MCent network, settling payment via x402 protocol on Base L2.
Price / call$0.139755
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 'url' boolean field indicating the outcome of the fraud detection optimization check — likely a pass/fail or flagged/not-flagged signal for the submitted EdTech data payload.
Example use cases
Screen suspicious enrollment activity
“I have some edtech enrollment data that looks off — multiple accounts registering from the same IP in quick succession. Can you run it through the fraud detection optimizer and tell me if it's flagged?”
Validate e-learning payment anomalies
“We're seeing a spike in chargebacks on our online course platform. Run this batch of transaction records through the EdTech fraud detection optimizer and tell me which ones come back as suspicious.”
Automate fraud checks in edtech pipeline
“Every time a new user registers on our e-learning site, I want to automatically pass their signup data through the fraud detection optimizer to catch fake accounts before they access course content.”
Technical details
Endpoint
POSThttps://api.m2mcent.com/edtech-fraud-detection-optimizer-mcp-747/api/execute?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a lightweight, pay-per-call fraud detection signal specifically tuned for EdTech contexts, and you are already operating within an x402-compatible payment infrastructure using USDC on Base L2. It is best suited for agents that need to programmatically screen edtech transactions or user actions without spinning up a full fraud detection pipeline.
Side effects
- Missing or empty 'data' field returns a 400 validation error
- Malformed JSON in the data string may cause a processing error
- Payment failure via x402 protocol results in 402 response and no execution
- Ambiguous or unsupported data format may return an unexpected boolean result
- Network timeout on Base L2 settlement may delay or fail the request
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| datarequired | string |
Output
Schema · Response
| Field | Type | Description |
|---|---|---|
| urlrequired | boolean |
Tags
x402
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