Behavioral Signals API 2026: Benefits, Features & Pricing

Behavioral Signals API is a tool for analyzing voice data to measure emotions, detect behaviors, and identify deepfakes in audio content. It is designed for use in areas such as contact centers, conversational AI platforms, healthcare, gaming, and robotics, where understanding emotional context in voice interactions is important.

The API provides emotional metrics, including the detection of neutral, happy, frustrated, angry, and sad states, as well as measurements of positivity and vocal strength. It supports both real-time and batch audio processing. It includes software development kits (SDKs) for programming languages such as JavaScript, Android, Swift, Python, and Java, enabling developers to incorporate emotion analysis into various applications.

The system processes audio signals to extract emotional information from speakers, offering insights beyond the literal meaning of words.