Integrations

Connect Eight Sleep via Spike API

Connect to Eight Sleep via the Spike Wearables API to access users' sleep and recovery data. Retrieve metrics such as heart rate variability, sleep stages, total sleep time, and room temperature adjustments that users already track, enhancing your app’s functionality and reducing manual data entry.

Book a demo
200+ healthcare organizations work with Spike

Integrate Eight Sleep data into your app in 3 easy steps with Spike Wearables API

Get data from Eight Sleep into your app via Spike Wearables API with just a few lines of code. Save months of in-house development and maintenance.

Access your account in Spike platform

Your dedicated Implementation Engineer will guide you and help start smoothly.

Establish secure connection

Use examples in multiple programming languages to implement secure authentication.

Set up webhooks for real-time updates

Enable automatic data delivery to your application whenever new data becomes available

Get real-time data and historical insights from any device with Spike Wearables API

Access historical data

Acquire historical data through HTTP requests.

Specify the duration and retrieve past health metrics for comprehensive health trend insights.

Track improvements and analyze patterns.

Build AI insights with MCP

Use Spike MCP to add AI insights to your app, working directly with data from Eight Sleep.

Automatically fetch, analyze, and interpret data from all your connected devices.

Spike MCP server handles authentication, data retrieval, and formatting.

Who can leverage Eight Sleep data?

Eight Sleep's Pod series, including the Pod Pro 3 and Pod 4, utilizes embedded piezoelectric sensors to monitor sleep stages, heart rate variability (HRV), respiratory rate, and movement. This data can enhance health and fitness applications by providing users with detailed insights into their sleep quality.

Book a demo
Docs

Fitness & workout apps

Fitness and workout apps can integrate Eight Sleep data to deliver richer user experiences through enhanced tracking capabilities and personalized recommendations.

Sleep tracking apps

Eight Sleep data support sleep apps managing hypertension and sleep apnea, enhancing health monitoring and management.

Nutrition and diet apps

Apps can use Eight Sleep data related to nutritional intake to provide personalized dietary recommendations, track adherence to dietary goals, and offer insights into overall nutritional habits.

Mental health apps

Eight Sleep data can be used to track emotional well-being and integrate mental health insights into overall health assessments.

Medical and health monitoring apps

Eight Sleep provides data on vital signs and health metrics, which can be used to monitor overall health, manage chronic conditions, and integrate insights into personalized care plans.

Schedule a quick demo

We’d be happy to give you a quick intro on how you can leverage Spike Health 360 API.
We have same-day or next-day slots available. Just pick a convenient time for you.

Book a demo

Hear From our Customers

Learn how companies worldwide are using Spike to transform everyday health and wellness.

"It's the best support we have from any provider. We're integrated in Slack, and despite time zone changes, that hasn't become an issue."

Nicolas Lasso
CTO
Read case study

"Spike gave us a huge shortcut. It would've taken months to get wearables working right — and even then, we'd still have to maintain them. Now we just build on top."

Kevin Lam
Principal Software Engineer
Read case study

“Spike API enabled us to access and manage data from various wearables efficiently. The fact that Spike does not store user data was a crucial factor in our decision, ensuring our commitment to data privacy and security.“

Ciara Ferguson
Chief Data Scientist
Read case study

"With Spike API, we’ve been able to integrate diverse wearable data, offering our users more precise and actionable insights. This has improved the accuracy of our training recommendations and user satisfaction."

Brian Rosetti
Founder
Read case study