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Genomics Legal Contract Classifier
x402
Genomics Legal Contract Classifier is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $1.477595/call, status unknown (last checked 2026-10-17).
Classifies input text as a genomics-related legal contract (true) or not (false)
Price / call$1.477595
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 'score': true if the input text is classified as a genomics legal contract, false otherwise. No confidence score or explanation is provided — only a binary classification result.
Example use cases
Biotech contract portfolio screening
“I have a large batch of contracts from our biotech acquisitions — can you check if this one is specifically a genomics legal contract: 'This data use agreement covers whole-genome sequencing results shared between academic institutions for research into hereditary cancer markers.'”
Legal document intake triage
“Our legal team receives hundreds of incoming agreements — can you classify whether this document counts as a genomics legal contract: 'This licensing agreement permits use of proprietary SNP array technology for population-level genomic studies under GDPR compliance terms.'”
Compliance audit of archived agreements
“I'm auditing old company files and need to know if this archived agreement is a genomics legal contract: 'This consent form and data transfer agreement relates to the collection and storage of participant DNA samples for pharmaceutical development.'”
Technical details
Endpoint
POSThttps://api.m2mcent.com/genomics-legal-contract-classifier-mcp-665/api/execute?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, low-cost binary classification of whether a piece of text constitutes a genomics legal contract, particularly in document triage or intake pipelines handling biotech or life sciences agreements. It is well-suited for filtering large document sets without requiring a full NLP pipeline. Prefer alternatives if you need confidence scores, multi-class labels, or explanations for the classification decision.
Side effects
- Missing 'text' field in request body returns validation error
- Empty string input may return unpredictable classification
- Very short or ambiguous text may yield low-reliability boolean output
- Non-English contract text may produce inaccurate classification
- Network or payment failure (x402) may prevent execution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| textrequired | string |
Output
Schema · Response
| Field | Type | Description |
|---|---|---|
| scorerequired | boolean |
Tags
x402
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