# PropTech Image Recognition Monitor MCP

> PropTech Image Recognition Monitor MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $1.349252/call, status unknown (last checked 2026-10-11).

Executes a proptech-focused image recognition monitoring task via a monetized remote MCP node on the M2MCent network, returning a boolean report result.

## Facts

- Endpoint: POST https://api.m2mcent.com/proptech-image-recognition-monitor-mcp-856/api/execute?utm_source=zero.xyz
- Price: $1.349252/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-11
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/proptech-image-recognition-monitor-mcp-d1c2999d
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_e0qTeGLhqNKchaR6pRh4c

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-image-recognition-monitor-mcp-d1c2999d -d '<json body>'
```

Example prompt: Can you run the proptech image recognition monitor on this property listing and tell me whether the images pass the check?

## When to prefer this

Choose this endpoint when you need a lightweight, pay-per-call proptech image recognition monitoring check that returns a simple pass/fail boolean — ideal for automated pipelines that need a fast yes/no decision on property images without processing large model outputs. Best suited for agents operating in real estate, property management, or proptech workflows where image compliance or anomaly detection is required at scale.

## Known failure modes

- Malformed or missing 'parameters' string returns a validation error
- Unrecognized image URL or asset reference in parameters may return false or an error
- Payment failure via x402 protocol results in 402 response and no execution
- Ambiguous parameter string may cause silent misclassification returning an unreliable boolean
- Network or node unavailability 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 containing a single boolean 'report' field indicating whether the image recognition monitoring check passed (true) or failed/flagged an issue (false).

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "parameters"
 ],
 "properties": {
  "parameters": {
   "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-image-recognition-monitor-mcp-d1c2999d/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)