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M2MCent Robotics Yield Analyzer MCP
x402
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
Price / call$1.234075
Success—
StatusUnknown
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.
Example use cases
Manufacturing defect threshold check
“I have some robotics line data — 'line_speed=95,defect_rate=0.07,uptime=0.91' — can you run the yield analyzer on it and tell me if it passes?”
Automated QA pipeline decision gate
“Before we push this batch to shipping, run the robotics yield analyzer on this production data string 'batch_id=442,yield_pct=0.87,rejects=13' and give me a true or false on whether it's acceptable.”
Real-time robotics performance monitoring
“We're monitoring the assembly arm live — here's the latest telemetry: 'arm_cycles=500,error_count=4,throughput=0.96'. Run it through the yield analyzer and tell me if we're in the green.”
Technical details
Endpoint
POSThttps://api.m2mcent.com/robotics-yield-analyzer-mcp-251/api/execute?utm_source=zero.xyzWhen to prefer
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.
Side effects
- 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
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| datarequired | string |
Output
Schema · Response
| Field | Type | Description |
|---|---|---|
| predictionrequired | boolean |
Tags
x402
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