Developer Documentation
Build transformative digital wellness experiences with WellBean AI's sentiment analysis API. Currently in private beta.
API Overview
Sentiment Analysis
Real-time analysis of digital content's emotional impact, focusing purely on affect patterns and cognitive load.
Privacy-First Design
Our API processes content in-memory without persistence, analyzing only the emotional signatures of information flows.
Pattern Recognition
Identify digital wellness patterns through aggregated affect metrics, without storing or accessing personal data.
Integration Examples
Wellness Applications
// Example: Analyzing content impact
const analysis = await wellbean.analyze({
contentType: 'text',
affectMetrics: true,
patternRecognition: true
});
// Returns: Affect patterns and cognitive load metrics
// No content is stored or retained
Digital Health Platforms
// Example: Real-time wellness monitoring
wellbean.monitor({
metrics: ['cognitive_load', 'emotional_impact'],
interval: '5m',
aggregateOnly: true
});
// Streams: Aggregated wellness metrics
// Raw data never leaves the client
Request Early Access
Join our private beta program to help shape the future of digital wellness API development.
Technical Preview
Authentication
# API requests are authenticated using Bearer tokens
curl -X POST https://api.wellbean.ai/v1/analyze \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json"
Data Processing
- In-Memory Processing: All analysis occurs in real-time without data persistence
- Pattern Analysis: Focus on affect patterns and cognitive impact metrics
- Privacy Preservation: No content storage or personal data collection