The Sahha Data Dictionary is an authoritative reference of all health and wearable data available across the Sahha platform. It is organised into raw data logs, biomarkers, Health Scores, archetypes, insights, and engagement data, with links to detailed technical documentation.
Intro
The Sahha Data Dictionary provides a structured overview of the health and wearable data generated across the Sahha platform. It is designed to help developers, product teams, and partners understand what data is available and how it is organised.
What This Data Dictionary Covers
Sahha’s data model spans multiple layers of health and behavioural information, including:
- Raw data logs: time-series data delivered in near real time via webhooks from connected devices and platforms
- Biomarkers: daily aggregated signals derived from raw data logs
- Health Scores: real-time scores across activity, sleep, readiness, and mental wellbeing
- Archetypes: classifications that represent behavioural and lifestyle patterns
- Insights: outputs generated from trend analysis and comparison data
- Engagement data: metrics that reflect how users interact with applications
How to Use This Page
This page serves as a high-level reference for understanding Sahha’s data structure. Detailed field-level definitions, schemas, and API references are maintained in Sahha’s developer documentation.
Access Full Technical Documentation
For complete definitions, data logs, and implementation details, visit the Sahha Developer Docs:
View the full Sahha Data Dictionary: https://docs.sahha.ai/docs/get-started/data-dictionary#data-logs
Who This Is For
The Sahha Data Dictionary is intended for:
- Developers integrating Sahha into applications
- Product teams building personalised health experiences
- Data teams analysing health and behavioural trends
- Partners evaluating Sahha’s data coverage and capabilities
How This Fits Into the Sahha Platform
The data described in this dictionary underpins Sahha’s ability to move beyond raw tracking and enable actionable health insights through scores, trends, and personalised recommendations.