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LegalTech Sentiment Monitor MCP
x402
LegalTech Sentiment Monitor MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.235063/call, status unknown (last checked 2026-10-16).
Analyzes a legal-domain text prompt and returns a boolean sentiment/prediction about it, specifically tailored for legal technology contexts.
Price / call$0.235063
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 outcome prediction for the submitted legal text — true for positive/favorable sentiment, false for negative/unfavorable.
Example use cases
Contract clause favorability check
“Tell me whether this indemnification clause is sentiment-positive or negative: 'The party shall bear full liability for any damages arising out of breach, including consequential and punitive damages.'”
Legal brief tone monitoring
“Analyze the tone of this legal statement and give me a true or false on whether it reads as favorable: 'The court finds no basis for the plaintiff's claims and dismisses the complaint with prejudice.'”
Regulatory compliance text evaluation
“Run sentiment analysis on this regulatory notice and return whether the overall sentiment is positive: 'All non-compliant entities will face immediate suspension of operating licenses pending full audit review.'”
Technical details
Endpoint
POSThttps://api.m2mcent.com/legaltech-sentiment-monitor-mcp-794/api/execute?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a simple binary sentiment classification specifically for legal-domain text, and you want a lightweight boolean answer rather than a scored or multi-class sentiment output. Useful for quick triage of legal documents, clauses, or statements where a yes/no favorability signal is sufficient.
Side effects
- Missing required 'prompt' field returns validation error
- Empty or extremely short prompt may yield unreliable prediction
- Non-legal text may produce inaccurate boolean classification
- Payment failure via x402 protocol results in 402 response before processing
- Ambiguous legal language may produce inconsistent boolean results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| promptrequired | string |
Output
Schema · Response
| Field | Type | Description |
|---|---|---|
| predictionrequired | boolean |
Tags
x402
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