Data Sources
Privacy Preserving Value for you and your users
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
Onairos AI Model Outputs
Our AI models process collected data to provide four core prediction types:
1. Personal Traits Analysis
What It Provides: Unique personality traits and behavioral patterns specific to each user based on their digital footprint across platforms.
Example Outputs:
Communication style preferences
Content consumption patterns
Social interaction tendencies
Professional vs personal persona differences
Risk tolerance and decision-making patterns
API Endpoint:
GET /api/v1/traits/{user_id}2. Sentiment Prediction
What It Provides: Neural network-powered sentiment scoring (0-1 scale) predicting user response to specific content combinations.
Scoring System:
0.98= User will highly engage/like this content0.65= Moderate positive response expected0.23= Low engagement/negative response likely0.05= User will likely dislike/ignore this content
Input Types:
Text + Image combinations
Video content analysis
Product recommendations
Social media posts
Marketing materials
API Endpoint:
POST /api/v1/sentiment/predict
{
"user_id": "string",
"content_type": "text_image|video|product",
"content_data": {...}
}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)
Targeted Release: Q4 2025
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
Privacy-First Implementation: 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
Targeted Release: Q4 2025
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