Data Sources Overview
All supported platforms and the data Onairos collects to train personal AI models.
Data Sources Overview
The Onairos platform integrates with multiple social media, communication and other platforms to collect user behavioral data, which users allow to train their personal AI model.
Our system doesn't expose third-party platform APIs directly OR RAW USER DATA. Instead, the trained user model generates personalized insights and predictions valuable for your context window, ML algorithms and more.
Supported Data Sources
| Platform | Description |
|---|---|
| Photos, stories, likes, and engagement patterns | |
| YouTube | Watch history, likes, subscriptions, and viewing patterns |
| X (Twitter) | Tweets, likes, retweets, and content preferences |
| Subreddits, posts, comments, and interests | |
| Pins, boards, and visual preferences | |
| Professional activity and career interests | |
| Gmail | Communication patterns and preferences |
| TikTok | Video engagement and content preferences |
| ChatGPT | Memories, conversation style, and preferences |
What You Can Access
The Onairos API provides:
| Data Type | Description |
|---|---|
| Personality Traits | Unique traits and behavioral patterns (scored 0-10) |
| Sentiment Predictions | How much users will like specific content (scored 0-1) |
| Preferences | Interests, content consumption patterns |
3. Emotion Recognition (Coming Soon)
What It Will Provide: Advanced emotional state detection and prediction based on multi-platform behavioral analysis.
Planned Features:
- Real-time mood detection from posting patterns
- Emotional response prediction to content types
- Stress and wellness indicators from communication patterns
- Emotional compatibility matching for social interactions
- Temporal emotion mapping (daily/weekly emotional cycles)
4. Connection Intelligence (Coming Soon)
What It Will Provide: Advanced relationship analysis and social network intelligence that goes far beyond basic friendship mapping.
Core Features
Relationship Strength Analysis:
- Super Friends: Ultra-close connections with daily interaction, shared interests, and mutual influence
- Influence Networks: Users who significantly impact decision-making and content preferences
- Professional Allies: Career-focused connections with collaboration patterns and professional support
- Interest Tribes: Users connected through specific hobbies, topics, or communities
- Emotional Support Networks: Connections that provide comfort, advice, and emotional stability
Social Dynamic Mapping:
- Conversation Catalysts: Users who spark engagement and drive discussion
- Trend Amplifiers: Connections who boost content virality and social reach
- Opinion Leaders: Individuals whose preferences influence user behavior
- Social Bridges: Connections linking different social circles or communities
- Trust Indicators: Relationship authenticity and genuine connection strength
Interaction Pattern Analysis:
- Communication Rhythms: How often, when, and in what context users interact
- Content Sharing Patterns: What type of content users share with specific connections
- Mutual Influence Scoring: How much each user influences the other's behavior
- Social Context Recognition: Understanding relationship context (work, family, hobby, etc.)
- Emotional Resonance: Which connections share similar emotional responses and triggers
All connection analysis operates on anonymized interaction patterns and behavioral signals, never exposing personal communication content or private relationship details.
Planned Applications:
- Enhanced content personalization based on friend preferences
- Social recommendation systems for meaningful connections
- Community building and group formation assistance
- Professional networking optimization
- Emotional well-being through relationship health insights