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PropTech Fraud Detection Classifier MCP
x402
PropTech Fraud Detection Classifier MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.137264/call, status unknown (last checked 2026-10-13).
Classifies real estate or property-related data for fraud indicators using a remote MCP node with per-call USDC micropayment settlement.
Price / call$0.137264
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 'hash' boolean field indicating whether the submitted property/proptech data was classified as fraudulent or suspicious (true/false). No additional detail fields are provided in the response schema.
Example use cases
Rental listing fraud screening
“I have a rental listing submission from a landlord — can you classify this data for fraud risk: 'Luxury 2BR at 500 Park Ave, $800/mo, wire deposit immediately, landlord is overseas'?”
Property transaction anomaly check
“Before we process this real estate deal, can you run fraud detection on the transaction details: 'cash purchase, $1.2M, buyer LLC formed 2 days ago, no inspection waived'?”
Bulk MLS data validation
“We just scraped this property record from an MLS feed — run it through the proptech fraud classifier to see if it flags as suspicious: 'Property ID 88234, listed by 4 different agents in 30 days, price fluctuating 40%'.”
Technical details
Endpoint
POSThttps://api.m2mcent.com/proptech-fraud-detection-classifier-mcp-254/api/execute?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a lightweight, pay-per-call fraud classification signal specifically for proptech or real estate data, and you are operating within the x402 micropayment ecosystem on Base L2. It is best suited for quick boolean fraud flags on individual property records rather than deep explainability or multi-field structured analysis.
Side effects
- Missing required 'data' field returns validation error
- Empty string input may yield unreliable classification
- Payment failure via x402 protocol blocks execution
- Malformed JSON body returns HTTP 400
- Opaque boolean output provides no confidence score or explanation
- Ambiguous input strings may produce inconsistent results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| datarequired | string |
Output
Schema · Response
| Field | Type | Description |
|---|---|---|
| hashrequired | boolean |
Tags
x402
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