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Healthcare Carbon Credit Extractor MCP
x402
Healthcare Carbon Credit Extractor MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.276873/call, status unknown (last checked 2026-10-13).
Classifies whether a given text contains or describes healthcare-related carbon credit information, returning a boolean prediction
Price / call$0.276873
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' — true if the input text is classified as containing healthcare carbon credit content, false otherwise. No confidence score or explanation is returned.
Example use cases
Screening hospital sustainability reports
“I have this paragraph from a hospital's annual sustainability report — can you tell me if it mentions carbon credits? Here's the text: 'Our network achieved net-zero targets by procuring 12,000 tonnes of verified carbon offsets aligned with healthcare emission standards.'”
Filtering medical industry ESG filings
“Go through this excerpt from a pharma company's ESG filing and let me know if it's talking about carbon credits: 'The manufacturing division invested in renewable energy certificates and carbon sequestration partnerships with regional health authorities.'”
Compliance check on healthcare vendor contracts
“I need to know if this vendor contract text involves any carbon credit commitments: 'Supplier agrees to offset Scope 3 emissions attributable to medical device logistics through accredited healthcare carbon credit purchases.'”
Technical details
Endpoint
POSThttps://api.m2mcent.com/healthcare-carbon-credit-extractor-mcp-401/api/execute?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a lightweight, fast boolean classifier specifically tuned for the intersection of healthcare and carbon credit domains. Prefer it over general-purpose NLP APIs when you specifically need to screen healthcare documents, sustainability reports, or medical industry filings for carbon credit relevance without needing explanations or confidence scores.
Side effects
- Missing required 'text' field returns a 400 validation error
- Empty string input may return an unpredictable prediction
- Very long text inputs may be truncated or cause timeout
- Non-English text may yield unreliable classification results
- Ambiguous or borderline texts may produce inconsistent boolean outputs
- Payment failure via x402 protocol returns 402 Payment Required before processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| textrequired | string |
Output
Schema · Response
| Field | Type | Description |
|---|---|---|
| predictionrequired | boolean |
Tags
x402
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