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Explorer/MCP/axel-belfort/sentiment-analyzer
REMOTE

Sentiment Analyzer — Emotions, Confidence & Key Phrases

axel-belfort/sentiment-analyzer

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.

2 tools available ↓
The Newcomer
Hasn't been around long. Nothing caught our attention, but there isn't much history to go on yet.
Time indexed (6mo)
2toolsRemote/ HTTP6moindexed
100% uptime · 322ms avgChecked Oct 13, 2026
Quality Score
41/95
Established
Risk Score
0/100
Clean
▸How is this calculated?
Quality Breakdown
Tenure14.3/20
186 days indexed
Capability14.4/25
Tools: 2.4/13 (2 tools)
Description: 5/5 ✓
Endpoint: 7/7 ✓
Adoption2.4/25
Use count: 2.4/20 (3 uses)
Multi-registry: 0/5 (1 registry)
Reliability10/25
Currently live: 10/10 ✓
Uptime history: 0/15 No checks yet
Security scan: 0 pts in v1.0; ready to weight when coverage improves
Risk
0— Clean
No signals detected.
The scanner shows
2 tools. Nothing caught our attention.
First indexed Apr 12, 2026
Server Profile
⚙
Tools catalogued
2
2 tools available. Full list below.
☁
Hosting
Remote / HTTP
Runs on the internet. No access to your filesystem, SSH keys, or environment variables.
○
Registry presence
Not verified
Not yet verified by the Official MCP Registry.
●
Liveness
100%
Based on 48 checks. Average response: 322ms.
Publisher Verification
Not yet verified by the Official MCP Registry.
Endpoint
https://sentiment-analyzer--axel-belfort.run.tools
Tools (2)
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

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