# Twitter Sentiment Analyzer MCP

> Twitter Sentiment Analyzer MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.1/call, status unknown (last checked 2026-09-15).

Analyzes the sentiment of Twitter/X-related text data, returning sentiment classification and scoring

## Facts

- Endpoint: POST https://api.m2mcent.com/twitter-sentiment-analyzer-mcp/api/process
- Price: $0.1/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/twitter-sentiment-analyzer-mcp-eedf6823
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ffzgvz0LA7ITZvEEDYLFn

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 twitter-sentiment-analyzer-mcp-eedf6823 -d '<json body>'
```

Example prompt: Can you analyze the sentiment of this tweet for me: 'Just tried the new iPhone and honestly it's the best phone I've ever owned — total game changer!'?

## When to prefer this

Use this endpoint when you need quick, per-call sentiment classification of individual tweets or Twitter-style short-form text, especially within an agentic workflow that processes social media content and requires per-call micropayment billing via x402.

## Known failure modes

- Empty or missing 'data' field returns a validation error
- Non-text or malformed input may return an error or low-confidence result
- Very short or ambiguous tweets may yield uncertain or neutral classifications
- Rate limiting or payment failures may result in 402 or 429 HTTP errors
- Sarcasm or irony in tweets may be misclassified

## 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 (e.g. positive, negative, neutral) and likely a confidence score or polarity value derived from the input text, helping agents understand the emotional tone of Twitter/X content.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "payload": {
   "type": "string"
  }
 }
}
```

## Response schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/twitter-sentiment-analyzer-mcp-eedf6823/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)