# PropTech Metadata Predictor MCP

> PropTech Metadata Predictor MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.287951/call, status unknown (last checked 2026-10-22).

Analyzes a property image and returns a boolean prediction based on proptech metadata analysis

## Facts

- Endpoint: POST https://api.m2mcent.com/proptech-metadata-predictor-mcp-880/api/execute?utm_source=zero.xyz
- Price: $0.287951/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-22
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/proptech-metadata-predictor-mcp-8aa15ebd
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_n10bG4v6KMbHgPYuvH2YG

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-metadata-predictor-mcp-8aa15ebd -d '<json body>'
```

Example prompt: Can you run the proptech metadata predictor on this property listing image and tell me if it passes the analysis check?

## When to prefer this

Use this endpoint when you need a fast, low-cost boolean classification or prediction on a property image in a proptech context, particularly when integrating into automated real estate workflows that require a simple pass/fail signal from image metadata analysis.

## Known failure modes

- Missing 'image' field in request body returns a validation error
- Invalid or malformed image data may cause a processing failure
- Network or payment authorization failure via x402 protocol returns 402 status
- Service unavailability on subdomain returns 5xx error
- Image format not supported may return an error or unexpected false result

## How this service works

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## Output

Returns a JSON object containing an 'analysis' boolean field — true or false — representing the outcome of the proptech metadata prediction for the submitted image.

## Request schema (JSON Schema)

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

## Response schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/proptech-metadata-predictor-mcp-8aa15ebd/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)