Behavioral Signals API - 2026 Pricing, Features, Reviews & Alternatives

Behavioral Signals API is a production-level emotion and behavioral analytics solution that helps businesses extract emotional and behavioral metrics from voice data. The platform enables both real-time and batch audio processing, designed to support heavy-duty applications across multiple industries including customer service, healthcare, gaming, and robotics. The system caters to organizations seeking to enhance conversational AI capabilities, virtual assistants, and voice-enabled applications by incorporating emotional intelligence into the technological infrastructure.

The API offers a comprehensive suite of features centered around voice-based emotion recognition technology. It enables teams to analyze vocal tone, pitch, rhythm, and other acoustic features to detect a variety of emotional states including neutral, happy, frustrated, angry, and sad emotions, as well as measuring positivity levels from negative to positive and strength indicators from calm to excited. The system's behavioral signal processing capabilities extend beyond basic emotion detection to include behavioral traits such as engagement, politeness, and empathy. For call centers, Behavioral Signals API provides specialized functionality through solutions, such as callER for emotion analysis and personalized agent intelligent routing (PAIR), which automatically matches customers with the most suitable agents based on emotional and behavioral compatibility. The platform also includes predictive analytics capabilities that can forecast outcomes such as customer intent, churn likelihood, and sales conversion potential, providing actionable insights to improve decision-making processes.

Behavioral Signals API is designed for streamlined integration with existing systems through comprehensive documentation available for multiple programming languages including JavaScript, Android, Swift, Python, and Java. The platform supports third-party integrations with various systems including conversational AI platforms, such as Uniphore, robotic systems such as Furhat and Temi robots, and contact center solutions, including Genesys. The API architecture allows for both cloud-based implementation and on-premises deployment, ensuring flexibility for different organizational requirements. Security and privacy considerations are built into the system, with compliance with industry standards for data protection. For developers, the platform provides application examples that enable quick implementation, allowing programmers to build emotionally intelligent applications efficiently. The API's scalable infrastructure supports everything from small-scale implementations to enterprise-level deployments requiring intensive processing capabilities.