What does the Cognitive Apps API do and what problem does it solve?
The API detects emotions, mood, and mental health states from voice or text to personalize user experiences. It scans for emotions, exhaustion, stress, depression, and moods through voice/text messages, enabling products to better meet customer expectations and influence purchasing decisions. It claims an 87% accuracy level and requires just 5-second voice samples for analysis.
What are the main use cases and situations for this API?
The API is used to enhance app functionality with mental health analysis, personalize offers using real-time mood data, track candidate emotions to build psychological portraits, and improve user experience through personalization via emotion detection. It is suitable for integration into existing workflows across 10+ industries.
Who is the target audience or user for this API?
It is designed for developers and businesses looking to integrate AI-powered mental health analytics into their products and services. The service targets companies across various industries that want to enrich customer data and create personalized user experiences.
What features, surfaces, or integrations does Cognitive Apps offer?
The service offers voice tone analysis, context analysis, emotion detection, mood detection, mental health level assessment, and historical data access. It integrates via an API and can process data from sources including voice samples, text messages, and physical health data from Health Kit and Google Fit.
How is the API priced or packaged?
There are two main pricing tiers: a 'Per API call' plan at $0.10 per call (with a 30-second/1,000-symbol limit per request), and a 'Per user/month' plan at $1.20 per user/month (with a 30-minute/30,000-symbol limit per month). A custom pricing option is also available upon request.
What is Cognitive Apps?
Cognitive Apps is an AI-powered API service for mental health analytics that detects emotions, mood, and mental health states from voice or text inputs to enable personalized user experiences.