01Detects 7 emotions (happy, excited, angry, sad, tired, anxious, neutral) using coefficient of variation thresholds.
02Assesses urgency with 4 levels (low, medium, high, critical) based on speaking patterns.
03Lite tier offers zero ML dependencies, utilizing pure Python standard library for core analysis.
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05Compatible with the Model Context Protocol (MCP) for easy integration into agent frameworks.
06Identifies sarcasm by comparing text sentiment with audio emotion.