Spike API

User integrates their smartwatch (e.g., Oura or Garmin) via Spike's in-app connect widget.

Spike continuously ingests overnight sleep staging, HRV, and resting heart rate data.

The fitness app's backend retrieves the normalized readiness score from the Spike API every morning.

An AI agent tailors the day's training volume and intensity to match the exact physiological capacity of the user.

The user snaps a picture of their meal inside the nutrition app.

The image is instantly routed via API to Spike's Nutrition AI endpoint.

Spike's computer vision analyzes the image, identifies the ingredients, and calculates caloric and macronutrient values.

The app populates the user's daily diary with the exact nutritional breakdown within seconds.

The patient links their Continuous Glucose Monitor (CGM) to the clinical provider's portal powered by Spike.

Spike pushes continuous glucose telemetry into the provider's EMR or clinical dashboard.

The system triggers automated alerts if the normalized data breaches critical hyper/hypoglycemic thresholds.

The clinician reviews the structured historical trend during the next telehealth consultation.

The policyholder opts in to share their wearable and health app data for a premium discount.

Spike aggregates historical physical activity, sleep consistency, and vitals via its 500+ integrations.

Spike standardizes this disparate data into a single comprehensive risk profile JSON.

The insurance underwriting engine consumes the data to calculate a dynamic, highly accurate mortality/morbidity risk score.

The employer deploys a corporate wellness application powered by Spike.

Employees connect their preferred device—whether Apple, Google, Fitbit, or Garmin.

Spike handles all the distinct API translations, normalizing steps, active minutes, and workouts.

The application seamlessly updates unified leaderboards, ensuring fair and accurate tracking across the entire workforce.