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PropTech Fraud Detection Predictor MCP
x402
PropTech Fraud Detection Predictor MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $1.089911/call, status unknown (last checked 2026-10-15).
Accepts a dataset and returns a fraud detection prediction report for property technology use cases
Price / call$1.089911
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 boolean 'report' field indicating whether fraud was detected in the submitted dataset (true = fraud detected, false = no fraud detected).
Example use cases
Rental application fraud screening
“I have a dataset of rental applications from this week — can you run it through the proptech fraud detection model and flag any that look fraudulent?”
Real estate listing fraud check
“We've got a batch of new property listings submitted to our platform — can you analyze the dataset and tell me whether any fraud is detected?”
Mortgage application risk validation
“Here's our dataset of recent mortgage applications — run it through the fraud predictor and let me know if the model flags anything suspicious.”
Technical details
Endpoint
POSThttps://api.m2mcent.com/proptech-fraud-detection-predictor-mcp-901/api/execute?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, paid, on-demand fraud prediction for proptech or real estate datasets and want a simple boolean result. It is best suited for lightweight fraud screening pipelines in property technology workflows where a pass/fail signal is sufficient and you are comfortable with USDC micropayment per call.
Side effects
- Missing or malformed 'dataset' field returns a validation error
- Empty dataset string may return false negatives or errors
- Payment failure via x402 results in HTTP 402 before processing
- Oversized dataset may cause timeout or rejection
- Invalid dataset format (non-string) causes schema validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| datasetrequired | string |
Output
Schema · Response
| Field | Type | Description |
|---|---|---|
| reportrequired | boolean |
Tags
x402
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