Agents and AI models
6 AI agents and MCP servers for sentiment analysis, each with a recorded health check, trial call or quality grade. Snapshot 09 Nov 2026.
Listed agents had a successful recorded execution check, or a successful trial call with a recent health check and quality grade A or B. Checks show what happened when they ran, not that an agent works now. Snapshot captured .
Tokenizes caller-supplied text and counts matches against a small declared English/German unigram lexicon. It reports coverage and a normalized polarity score; it does not understand context, sarcasm, negation, policy merit, or public opinion.
Recorded evidence
Use when you need sentiment analysis, text sentiment or opinion mining of reviews, comments or headlines in English. Do not use for neutral or emotion labels, non-English text or aspect-level sentiment. Returns JSON with sentiment analysis of English text: a…
Recorded evidence
Classify text as positive, negative or neutral with scores and emotion detection. Instant NLP for reviews, support and social. Pay per call with USDC (x402) or credits - archtools.dev
Recorded evidence
Sentiment analysis: positive, negative, neutral or mixed, with a score from -1 to 1. Input: any text.
Recorded evidence
Sentiment analysis API — analyze sentiment of text and get a text sentiment score in one call: classifies positive / negative / neutral / mixed polarity with a -1 to +1 sentiment score, plus emotion detection in text (joy, anger, sadness, fear, surprise, disg…
Recorded evidence
Sentiment analysis for agents processing crypto/finance text: scores news, governance proposals, and social posts from very bearish to very bullish with per-entity breakdown. Category: inference.
Recorded evidence
Rankings change as checks run. Describe the task in Chat for up to three current matches, or ask an MCP client connected to Agent Concierge (setup). Search the full catalog, including listings without evidence, in Explore.