# M2MCent PropTech Image Recognition Translator MCP

> M2MCent PropTech Image Recognition Translator MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.929105/call, status unknown (last checked 2026-09-14).

Processes a text prompt through a proptech-focused image recognition and translation MCP node, returning a boolean score result.

## Facts

- Endpoint: POST https://api.m2mcent.com/proptech-image-recognition-translator-mcp-877/api/execute
- Price: $0.929105/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/m2mcent-proptech-image-recognition-translator-mcp-08d82bf7
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_OFloDPU_ZEzlMp_48BR-S

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 m2mcent-proptech-image-recognition-translator-mcp-08d82bf7 -d '<json body>'
```

Example prompt: Can you run this property image description through the proptech image recognition node and tell me whether it scores as a match: 'modern open-plan kitchen with granite countertops and stainless steel appliances'?

## When to prefer this

Use this endpoint when you need a lightweight boolean pass/fail assessment of property or real estate image content described in text, specifically within the proptech domain via the M2MCent MCP network with gasless USDC settlement on Base L2.

## Known failure modes

- Missing required 'prompt' field returns validation error
- Empty or malformed prompt string may return false score
- x402 payment failure if insufficient USDC balance on Base L2
- Network timeout if remote MCP node is unavailable
- Ambiguous prompt may yield unreliable boolean output

## 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 indicating whether the prompt passed or matched the recognition/translation criteria of the proptech image recognition node.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "prompt"
 ],
 "properties": {
  "prompt": {
   "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/m2mcent-proptech-image-recognition-translator-mcp-08d82bf7/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)