# LegalTech Sentiment Monitor MCP

> 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.

## Facts

- Endpoint: POST https://api.m2mcent.com/legaltech-sentiment-monitor-mcp-794/api/execute?utm_source=zero.xyz
- Price: $0.235063/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-16
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/legaltech-sentiment-monitor-mcp-37931027
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_BLp77tKInijZHFlQ9VlT6

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability legaltech-sentiment-monitor-mcp-37931027 -d '<json body>'
```

Example prompt: Can you analyze the sentiment of this legal clause and tell me whether it's favorable: 'The licensee shall indemnify and hold harmless the licensor from any and all claims arising from use of the software'?

## When to prefer this

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.

## Known failure modes

- 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

## 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.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "prompt"
 ],
 "properties": {
  "prompt": {
   "type": "string"
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "prediction"
 ],
 "properties": {
  "prediction": {
   "type": "boolean"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/legaltech-sentiment-monitor-mcp-37931027/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from api.m2mcent.com](https://www.zero.xyz/host/api.m2mcent.com/llms.txt)
