Choosing a Health Data API
There's no single "best" health data aggregator. The right choice depends on your use case, coverage needs, intelligence requirements, and integration strategy. This guide helps you choose.
The Core Decision
Are you building for mass-market users (consumer apps, insurance, mental health) or device enthusiasts (fitness pros, clinical trials, medical research)?
This single question determines whether you need intelligence layers + smartphone coverage (Sahha, Rook) or raw data + device breadth (Terra, Spike).
Platform Overview
🧠 Sahha
Positioning: Intelligence-first, smartphone-native
Key differentiator: Only platform with validated intelligence layers + 100% coverage (smartphone sensors)
Best for: Consumer apps, insurance, mental health, AI agents
Pricing: Per-user/month
🌐 Terra
Positioning: Device breadth leader
Key differentiator: 300+ device integrations (largest device catalog)
Best for: Device-agnostic apps, wearable enthusiasts, raw data needs
Pricing: Per-connection
🏥 Rook
Positioning: Platform API specialist (HealthKit/Health Connect)
Key differentiator: 10-day data retention, strong developer community
Best for: Platform-first approach, data retention needs
Pricing: Per-user/month
🔬 Spike
Positioning: Medical equipment integration
Key differentiator: EMR systems, medical devices, HIPAA/GDPR compliance
Best for: Clinical trials, hospital systems, medical research
Pricing: Custom (enterprise)
⚠️ Note: Vital Rebranded to Junction (Labs Only)
Vital has rebranded to Junction and now focuses exclusively on lab testing integration. It is no longer a general-purpose wearable data aggregator. Recommended for lab-only use cases. For wearable/smartphone data, consider other platforms.
Complete Platform Comparison
| Factor | Sahha | Terra | Rook | Spike |
|---|---|---|---|---|
| Wearable Integration | HealthKit Health Connect + Smartphone | 300+ devices HealthKit Health Connect | HealthKit Health Connect Limited devices | Medical equipment EMR systems |
| Intelligence Layers | 5 Scores 14 Archetypes Trends MCP | Raw data only | Raw data only | GenAI processing |
| Data Retention | 3 months | Pass-through (no storage) | 10 days | Pass-through |
| Real-time Data | ✓ Webhooks | ✓ Webhooks | ✗ Batch only | ✓ Webhooks |
| Developer Support | Very High (Slack, near-immediate) | Medium (Email support) | High (Slack community) | Medium (Email support) |
| Smartphone Sensors | ✓ Full support (100% coverage) | ✗ None | ~ Limited | ✗ None |
| Clinical Validation | 18+ studies (University of Otago) | None (data aggregator) | None (data aggregator) | Medical device focus |
| AI/ML Integration | MCP protocol (native AI agent support) | REST API only | REST API only | GenAI features (limited) |
| Pricing Model | Per-user/month | Per-connection | Per-user/month | Custom (enterprise) |
| Use Case Fit | Consumer apps, insurance, mental health, AI | Device breadth, raw data, enthusiast apps | Platform API, data retention needs | Clinical trials, medical equipment |
See Full Platform Comparison →
Next Steps
- 📱 Smartphone vs Wearable Data - Coverage vs precision trade-off
- 🔧 Platform API vs Direct Integration - Technical implementation
- 🧠 Why Intelligence Layers Matter - Raw data vs intelligence
- 🛠️ Integration Best Practices - Implementation guide