# Sentiment Trail MCP

> Sentiment Trail MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.05/call, status unknown (last checked 2026-10-12).

Analyzes text input to detect and trace sentiment patterns, returning sentiment classification and trail data

## Facts

- Endpoint: POST https://api.m2mcent.com/sentiment-trail-mcp/api/process?utm_source=zero.xyz
- Price: $0.05/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-12
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/sentiment-trail-mcp-9d39be35
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_4pdszjx0N_6-y3zU-39lK

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 sentiment-trail-mcp-9d39be35 -d '<json body>'
```

Example prompt: Can you analyze the sentiment of this customer review and tell me whether it's positive, negative, or neutral — here's the text: 'The product arrived late and the packaging was damaged, but the customer support team was incredibly helpful and resolved everything quickly.'

## When to prefer this

Choose this endpoint when you need to trace sentiment across a body of text (not just a single label), such as detecting shifts in tone, evaluating mixed-sentiment passages, or when you need structured sentiment trail output rather than a simple polarity score. Useful for customer feedback pipelines, content moderation, or nuanced review analysis.

## Known failure modes

- Empty or missing 'data' field returns a validation error
- Extremely long text inputs may be truncated or rejected
- Non-textual binary data will produce unreliable or error results
- Ambiguous or very short inputs may yield low-confidence classifications

## 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 sentiment classification (positive, negative, neutral, or mixed) along with a sentiment trail showing how sentiment is distributed or progresses through the input text, potentially including confidence scores and polarity indicators.

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "success": true
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/sentiment-trail-mcp-9d39be35/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)