# M2MCent Robotics Yield Analyzer MCP

> M2MCent Robotics Yield Analyzer MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $1.234075/call, status unknown (last checked 2026-10-13).

Analyzes robotics yield data and returns a boolean prediction via a monetized MCP node on the x402 protocol

## Facts

- Endpoint: POST https://api.m2mcent.com/robotics-yield-analyzer-mcp-251/api/execute?utm_source=zero.xyz
- Price: $1.234075/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-13
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/m2mcent-robotics-yield-analyzer-mcp-0b6be9a9
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_hcFx1ZbbUnlQQGef-rKFc

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-robotics-yield-analyzer-mcp-0b6be9a9 -d '<json body>'
```

Example prompt: Run a yield analysis on this robotics sensor data string and tell me whether the prediction comes back true or false: 'line_speed=120,defect_rate=0.03,uptime=0.98'.

## When to prefer this

Use this endpoint when you need a fast, binary (true/false) yield prediction for robotics or manufacturing data and are operating within an x402 micropayment-enabled agent workflow. Prefer this over general ML inference services when working specifically with robotics yield metrics and needing a low-cost per-call settlement on Base L2.

## Known failure modes

- Missing required 'data' field returns a validation error
- Malformed or non-string input may cause a processing error
- Payment failure via x402 protocol prevents execution
- Server-side model errors may return 500 with no prediction
- Empty string input may return an indeterminate or default prediction

## 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

A JSON object containing a single boolean 'prediction' field indicating whether the analyzed robotics yield data passes or meets the expected threshold.

## Request schema (JSON Schema)

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

## Response schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/m2mcent-robotics-yield-analyzer-mcp-0b6be9a9/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)