# Sentiment Analyzer — Emotions, Confidence & Key Phrases

> Sentiment Analyzer — Emotions, Confidence & Key Phrases — axel-belfort-sentiment-analyzer. Use this tool when you need to analyze text sentiment, detect emotions, and extract key phrases to understand public opinion or customer feedback. It solves problems in social media monitoring, review analysis, and content moderation by providing a confidence score and emotional insights. The tool takes in text input and returns a JSON output with sentiment, confidence, emotions, and key phrases.

Canonical page: https://skillsregistry.net/skills/axel-belfort-sentiment-analyzer  
JSON: https://api.skillsregistry.net/v1/skills/axel-belfort-sentiment-analyzer

## Description

Text sentiment analysis API for AI agents. Analyze sentiment (positive/negative/neutral) with confidence score, emotion detection (joy, anger, fear, surprise, sadness), and key phrase extraction. Single and batch modes.

Tools: text_analyze_sentiment (single), text_analyze_sentiment_batch (multiple texts).

Use this for social media monitoring, review analysis, brand sentiment tracking, or content moderation. IMPORTANT: For content topic classification, use text_classify_content instead.

Returns: {sentiment, confidence, emotions[], keyPhrases[]}. No API key required — x402 micropayment $0.005/call on Base L2.

## Trust

- **Trust score (0–1):** 0.73
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/axel-belfort/sentiment-analyzer)
- **Repository:** <https://github.com/Br0ski777/sentiment-analyzer-x402>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "axel-belfort-sentiment-analyzer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/axel-belfort-sentiment-analyzer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/axel-belfort-sentiment-analyzer/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt