# PropTech Fraud Detection Predictor MCP

> 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

## Facts

- Endpoint: POST https://api.m2mcent.com/proptech-fraud-detection-predictor-mcp-901/api/execute?utm_source=zero.xyz
- Price: $1.089911/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/proptech-fraud-detection-predictor-mcp-dee5eee7
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_cEUGp7VrvHqFMTrHxDgVm

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 proptech-fraud-detection-predictor-mcp-dee5eee7 -d '<json body>'
```

Example prompt: Run a fraud detection check on this property transaction dataset and tell me if any fraudulent activity is predicted.

## When to prefer this

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.

## Known failure modes

- 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

## 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).

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "dataset"
 ],
 "properties": {
  "dataset": {
   "type": "string"
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "report"
 ],
 "properties": {
  "report": {
   "type": "boolean"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/proptech-fraud-detection-predictor-mcp-dee5eee7/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)