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verified live · 27h ago
sentiment-analyzer
Analyze text sentiment, emotions, confidence scores, and key phrases. x402 USDC.
Tools
2
GitHub stars
—
Installs / wk
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Licence
MIT
Transport
sse
Last checked
27h ago
Tools & capabilities
2 toolsRead from the running server on 27h ago.
text_analyze_sentiment
text*
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 s… 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 (positive, negative, neutral) 2. confidence: confidence score 0-100 3. emotions: detected emotions with scores (joy, anger, fear, surprise, sadness) 4. keyPhrases: array of phrases driving the sentiment 5. score: numeric sentiment score from -1.0 (negative) to 1.0 (positive) Example output: {"sentiment":"positive","confidence":87,"score":0.73,"emotions":{"joy":0.82,"surprise":0.15,"anger":0.01,"fear":0.01,"sadness":0.01},"keyPhrases":["excellent results","exceeded expectations"]} Use this BEFORE responding to customer feedback, reviews, or social media mentions. Essential for brand monitoring, support ticket triage, and content tone analysis. Do NOT use for summarization -- use ai_summarize_text. Do NOT use for content extraction -- use web_scrape_to_markdown. Do NOT use for text classification -- use text_classify_content.
text_analyze_sentiment_batch
texts*