# M2MCent IoT Image Recognition Optimizer MCP

> M2MCent IoT Image Recognition Optimizer MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.183214/call, status unknown (last checked 2026-10-15).

Runs an IoT-focused image recognition optimization task via a remote MCP node, returning a success/failure status.

## Facts

- Endpoint: POST https://api.m2mcent.com/iot-image-recognition-optimizer-mcp-679/api/execute?utm_source=zero.xyz
- Price: $0.183214/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/m2mcent-iot-image-recognition-optimizer-mcp-badcbd34
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_QwrpZD2Xpk-AqSCshCxdD

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-iot-image-recognition-optimizer-mcp-badcbd34 -d '<json body>'
```

Example prompt: Can you run image recognition optimization on my IoT camera feed data — I need to classify objects detected by industrial sensors and get a result on whether it succeeded?

## When to prefer this

Choose this endpoint when you need a lightweight, pay-per-use IoT image recognition optimization call via the x402 micropayment protocol on Base L2, especially when minimizing token context overhead is important. Best suited for agents already integrated with x402 USDC payment flows targeting IoT or edge vision use cases.

## Known failure modes

- Missing or empty 'prompt' field returns validation error
- Malformed prompt causes processing failure with status: false
- Payment failure via x402 protocol blocks execution
- Network timeout on MCP node returns no response
- Node unavailability or overload may return error status
- Ambiguous or unsupported image description may yield status: false with no detail

## 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 'status' field indicating whether the image recognition optimization task completed successfully (true) or failed (false). No additional data fields are guaranteed in the response schema.

## Request schema (JSON Schema)

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

## Response schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/m2mcent-iot-image-recognition-optimizer-mcp-badcbd34/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)