Data Types (Biomarker)

We've got 250+ data types covering everything from basic steps to advanced cardiac analysis. Here's your complete guide to building amazing health experiences.

Thryve supports a comprehensive range of health and fitness data types, each designed to enable specific product experiences and use cases. You can access the full list here.

Data type availability varies significantly across data sources. Not every wearable or health platform supports all data types. Always check the availability matrix to understand which data sources provide the specific metrics you need for your product.

Data type categories

Our data types are organized into 18 categories designed around product use cases and user experiences:

Body Composition & Measurements

Foundation metrics for health tracking apps, weight management platforms, and fitness progress monitoring. Includes weight, height, BMI, muscle mass, bone mass, and body fat measurements.

Key Use Cases: Weight loss apps, fitness progress tracking, health monitoring dashboards, body composition analysis tools.

Activity

Daily movement and general activity metrics for lifestyle and wellness applications. Covers steps, calories burned, active duration, distance covered, and general activity tracking.

Key Use Cases: Daily wellness apps, step challenges, lifestyle coaching platforms, general fitness tracking.

Workouts

Exercise-specific performance metrics for fitness and training applications. Includes pace, speed, training intensities, sport-specific metrics, and cycling performance data.

Key Use Cases: Fitness training apps, running coaches, cycling platforms, sports performance analysis, workout tracking.

Heart Rate

Basic cardiovascular monitoring for health and fitness applications. Covers resting heart rate, average heart rate, sleep heart rate, and heart rate zones.

Key Use Cases: Fitness apps, health monitoring, workout intensity tracking, general cardiovascular health awareness.

Sleep

Comprehensive sleep tracking for wellness and health optimization apps. Includes sleep duration, sleep stages, sleep quality metrics, and sleep-related measurements.

Key Use Cases: Sleep optimization apps, wellness platforms, health coaching, circadian rhythm tracking, sleep disorder monitoring.

Stress & HRV

Stress monitoring and heart rate variability for mental health and recovery applications. Combines stress indicators with HRV metrics that reflect autonomic nervous system activity.

Key Use Cases: Stress management apps, mental health platforms, recovery optimization, meditation apps, wellness coaching.

Cardiovascular Health

Advanced cardiovascular metrics for medical and serious health monitoring applications. Includes blood pressure measurements, arterial pressure, and pulse wave velocity.

Key Use Cases: Medical monitoring apps, hypertension management, cardiovascular health platforms, clinical health tracking.

Advanced Cardiac Analysis

Sophisticated cardiac monitoring for medical and research applications. Includes ECG data, arrhythmia detection, and advanced cardiac health indicators.

Key Use Cases: Medical monitoring platforms, cardiac health apps, research applications, clinical-grade health tracking.

Blood Glucose

Blood sugar monitoring for diabetes management and metabolic health. Includes actual and estimated glucose measurements.

Key Use Cases: Diabetes management apps, metabolic health platforms, medical monitoring tools, health coaching for pre-diabetes.

Respiratory & Breathing

Breathing and respiratory health metrics for wellness and medical applications. Includes respiratory rate, breathing patterns, and blood oxygen saturation.

Key Use Cases: Wellness apps, meditation platforms, respiratory health monitoring, fitness recovery tracking.

Movement Analysis

Advanced biomechanical metrics for serious athletes and movement optimization. Includes stride length, ground contact time, vertical oscillation, and gait analysis.

Key Use Cases: Running performance apps, injury prevention platforms, athletic coaching tools, biomechanical analysis.

Detailed Nutrition

Comprehensive nutritional tracking for diet and health management. Covers macronutrients, micronutrients, vitamins, minerals, and detailed dietary intake.

Key Use Cases: Nutrition tracking apps, diet management platforms, health optimization tools, medical nutrition monitoring.

Audio & Hearing Health

Hearing protection and audio exposure monitoring. Tracks audio exposure levels for hearing health awareness.

Key Use Cases: Hearing protection apps, audio exposure monitoring, occupational health tools, hearing wellness platforms.

Location & GPS

Geographic data for activity context and location-based health insights. Includes latitude, longitude, and location-specific measurements.

Key Use Cases: Activity mapping, location-based health insights, outdoor fitness tracking, geographic health analysis.

Choosing the Right Data Types

For General Wellness Apps

Focus on Activity, Sleep and Heart Rate categories. These provide comprehensive lifestyle tracking without overwhelming users with complex metrics.

for Fitness and Training Apps

Prioritize Activity, Workouts, Heart Rate, and Movement Analysis. Add Sleep and Stress & HRV for recovery optimization features.

For Health Monitoring Platforms

Emphasize Body Composition, Cardiovascular Health, Blood Glucose, and Advanced Cardiac Analysis for comprehensive health tracking.

For Specialized Applications

Utilize Advanced Cardiac Analysis, Blood Glucose, Cardiovascular Health, and Respiratory & Breathing