# PropTech Sentiment Monitor MCP

> PropTech Sentiment Monitor MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $1.239252/call, status unknown (last checked 2026-10-13).

Analyzes a property/real-estate related image and returns a boolean sentiment score indicating positive or negative sentiment

## Facts

- Endpoint: POST https://api.m2mcent.com/proptech-sentiment-monitor-mcp-285/api/execute?utm_source=zero.xyz
- Price: $1.239252/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-13
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/proptech-sentiment-monitor-mcp-760c0e65
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_CIAxV9qMIZGK265XJebHi

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-sentiment-monitor-mcp-760c0e65 -d '<json body>'
```

Example prompt: Can you analyze this property listing image and tell me whether it has positive or negative sentiment — like would it make a potential buyer feel good about the property?

## When to prefer this

Choose this endpoint when you need a fast, low-cost boolean sentiment classification of a real estate or property-related image, particularly within a proptech workflow where nuanced text-based sentiment analysis is not required and a simple pass/fail score suffices.

## Known failure modes

- Missing 'image' field in request body returns validation error
- Non-image or invalid image string may return error or unexpected result
- Payment failure via x402 protocol prevents execution
- Ambiguous or low-quality images may produce unreliable boolean output
- Network timeout on the MCP node returns a 5xx error

## 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 single boolean 'score' field — true indicating positive sentiment detected in the property image, false indicating negative sentiment.

## Request schema (JSON Schema)

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

## Response schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/proptech-sentiment-monitor-mcp-760c0e65/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)