Introduction
Sensia API is a human-centered prediction API that infers cognitive and emotional performance from biometric and sleep data. By analyzing heart rate, respiratory rate, and sleep data, Sensia API returns real-time scores for attention, memory, reasoning, stress, and emotional state.
What you can build
- Wellness apps: provide users with insights of their cognitive and emotional state and actionable recommendations to improve them
- Wearable Companions apps: integrate the Sensia API to stream live mental and physiological state insights directly from wearables
- Sports performance systems: Use the Sensia API to monitor athlete mental load and optimize training, recovery, and performance decisions in real time
- Driver monitoring solutions: Use the Sensia API to assess driver alertness and fatigue levels in real time
How it works
At its core, Sensia API takes a single biometric snapshot, composed of real-time physiological data such as heart rate and respiratory rate as well as sleep data, and runs it through a proprietary model.
Optionally, you can supply up to five historical sessions alongside their previously returned scores to provide temporal context and improve result accuracy.
Wondering how data gets from an Apple Watch, Garmin or wearable aggregator into Sensia? Check out the Integration Playbook & Architecture Overview → to see how client applications bridge raw biometrics to Sensia.
Output metrics
| Score | Range | Description |
|---|---|---|
C_SCORE | 0–100 | Composite cognitive performance |
attention | 0–100 | Sustained focus capacity |
memory | 0–100 | Working memory performance |
reasoning | 0–100 | Logical reasoning ability |
stress | 0–100 | Predicted stress level |
valence | "Low" | High" |
arousal | "Low" | High" |
All scores are on a 0–100 scale. Higher is better for all metrics except stress.
For more information on what each score means, see the Output Scores documentation →.