Sentiment Analyzer — Emotions, Confidence & Key Phrases
Text sentiment analysis API for AI agents.
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What it can do
- Text Analyze Sentiment: Use this when you need to determine the emotional tone and sentiment of text. Returns structured sentiment analysis with emotion breakdown and key drivers. 1. sentiment: overal
- Text Analyze Sentiment Batch: Use this when you need to analyze sentiment of multiple texts at once (up to 20). Returns an array of individual sentiment results in one call. 1. results: array of senti
What data it sees
Do you need an account
No: the server works without sign-in
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.
Server tool list (2)
Raw names from tools/list. Only developers need these.
| text_analyze_sentiment | Use this when you need to determine the emotional tone and sentiment of text. Returns structured sentiment analysis with emotion breakdown and key drivers. 1. sentiment: overall sentiment label (posi |
| text_analyze_sentiment_batch | Use this when you need to analyze sentiment of multiple texts at once (up to 20). Returns an array of individual sentiment results in one call. 1. results: array of sentiment objects, one per input t |