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Robotics Sentiment Monitor MCP
x402
Robotics Sentiment Monitor MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.380166/call, status unknown (last checked 2026-10-14).
Analyzes a text prompt related to robotics topics and returns a boolean sentiment/prediction classification.
Price / call$0.380166
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
Returns a JSON object with a single boolean field 'prediction' indicating the sentiment or classification outcome — true for positive/affirmative sentiment, false for negative/non-affirmative sentiment — for the submitted robotics-related text prompt.
Example use cases
Robotics news sentiment screening
“I'm tracking robotics industry news — can you tell me if this headline is positive or negative: 'Major manufacturer recalls 2,000 robotic arms due to safety software flaw detected in field tests'?”
Investor signal detection in robotics
“I need to know if this analyst note about a robotics company reads as bullish or bearish — can you run sentiment on it: 'The company's pivot to collaborative robotics positions them well ahead of competitors despite short-term margin pressure'?”
Social media robotics post monitoring
“Check whether this Twitter post about robotics is positive or not: 'Our warehouse automation upgrade cut fulfillment errors by 60% — best investment we made this year!'”
Technical details
Endpoint
POSThttps://api.m2mcent.com/robotics-sentiment-monitor-mcp-783/api/execute?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, low-cost binary sentiment or prediction signal specifically tuned for robotics domain text, and you require a simple true/false output rather than a scored or multi-class sentiment result. It is well-suited for high-volume screening pipelines where token efficiency matters and USDC micropayment settlement via x402 is acceptable.
Side effects
- Missing required 'prompt' field returns validation error
- Empty or very short prompt may produce unreliable boolean output
- Non-robotics or off-domain text may still return a result but with lower accuracy
- Payment failure via x402 protocol results in HTTP 402 and no prediction returned
- Ambiguous sentiment text may produce inconsistent boolean outputs across calls
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| promptrequired | string |
Output
Schema · Response
| Field | Type | Description |
|---|---|---|
| predictionrequired | boolean |
Tags
x402
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