The launch of the next-generation Spike Wearables API

August 19, 2025
4
min
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Table of contents

Quick Learnings

What's new in the next-gen Spike Wearables API

The next-gen Wearables API is now live and includes these key benefits:

Ease of implementation:

  • All-in-One SDK: Integrate wearable and health data from any provider using a single SDK, reducing both development time and costs
  • SDK compatibility with Kotlin, Swift, Flutter, and React Native
  • Background delivery support for Android, Samsung Health, Huawei Health, and iOS
  • Webhooks engine: unified data stream from providers that don't offer native webhooks

Reliable infrastructure for enterprises:

  • Enterprise-grade infrastructure to handle large-scale data volumes and fidelity
  • Near-real-time data delivery capabilities
  • Upgraded  developer console for easier navigation, monitoring and handling
  • Re-certified and regulatory compliant enterprise architecture (incl. GDPR, HIPAA, CCPA)

Spike Analytics:

AI-ready infrastructure:

  • MCP layer and LLM-compatible data pipeline that cleans, enriches, and packages data
  • Structured, model-compatible data taxonomies, reducing data preparation time
  • Designed for the era of "vibe coding" and rapid AI-native development

New providers and sources:

Over the past year, we've taken a significant leap forward. We are launching the next-gen Spike API, a unified, AI-ready data infrastructure product that unlocks the future of health intelligence on high-quality health data from wearables and IoT devices.

This release isn't just an upgrade from the previous version. It's a foundational shift. The next-gen API powers richer data, faster integration, and AI-ready infrastructure, enabling you to build the next-gen health applications. Whether you are working with standard analytics and tracking or new LLM-based health analytics.

We already have customers using this upgraded Spike API across various sectors including female health, remote patient care, fitness apps, and wellness apps.

Let's break down what's new, what's possible, and why now's the time to build with Spike.

Breaking it down: What this means for your business

1. Ease of Implementation

The unified approach means you can integrate once and ingest wearable and health data from multiple sources without maintaining separate SDKs. This dramatically reduces development time and ongoing maintenance costs while ensuring your application remains compatible with the latest devices as they enter the market.

Spike now proactively pulls data from providers that don't offer native webhooks. Many health data providers don't offer native webhook support, creating inconsistent data delivery, forcing developers either to build complex polling systems or to accept delayed updates.
Spike's unified data streaming solves this by automatically polling providers that lack native webhooks, delivering more frequent data updates without requiring you to manage multiple polling schedules or worry about rate limits. This creates a seamless experience where your application receives health data updates reliably, regardless of the underlying provider's technical capabilities.

2. Reliable, stable & scalable system for enterprises

The next-gen Spike API provides enterprise-grade scale and infrastructure designed to handle large-scale data volumes while maintaining high fidelity across all data points. When you're building health applications like clinical monitoring systems or patient care platforms that require mission-critical uptime, you need infrastructure that delivers reliable performance at scale.

The API offers near real-time data delivery capabilities, ensuring your users receive health metrics as they're generated rather than experiencing delays from traditional batch processing. You'll benefit from consistent data streams without managing complex polling schedules or rate limit concerns.

We've achieved full regulatory compliance certification, including GDPR, HIPAA, and CCPA standards, ensuring your applications meet the strictest data protection and privacy requirements without additional compliance overhead on your end.

The updated developer console streamlines navigation and handling, reducing development overhead while maintaining the robust infrastructure enterprises require.

3. Actionable health insights with Spike Analytics

We've built a new analytics layer that transforms raw sleep health data into actionable insights with plug-and-play simplicity. Our enhanced health metrics now include comprehensive biometric tracking with VO₂ Max measurements, ECG data, weight monitoring, and advanced sleep analysis. The Sleep Score, available now, serves as a comprehensive sleep quality metric that combines sleep duration, efficiency, REM cycles, heart rate variability, and additional factors to provide users with a holistic view of their sleep health.

Designed for universal accessibility, the Sleep Score delivers an intuitive snapshot that helps users quickly assess their sleep quality without navigating complex charts or technical metrics. The Spike API Sleep Score is currently available for Tier 2 clients and above, accessible through standard endpoints with detailed developer documentation and dedicated implementation engineer support to ensure development teams can integrate quickly and confidently.

Building on our sleep score foundation, Spike is launching the Spike Analytics suite that transforms raw biometric data into standardized health scores.

Stress and Activity Scores (coming soon): Advanced analytics that correlate physiological markers with lifestyle factors to provide personalized stress management and activity scores (0-100 scale). The stress score quantifies your body's physiological stress load throughout the day, while the activity score measures your movement and exercise intensity.

These analytics are exclusive to our next-gen API and require zero additional modeling or infrastructure on your end. Simply query our endpoints and get meaningful health metrics right away. No need to build individual algorithms from scratch or maintain scoring models. Behind the scenes, our integrated MCP (Model Context Protocol) layer and structured, model-compatible data taxonomies ensure all data arrives pre-formatted and ready for immediate use in AI workflows, dramatically reducing data preparation time.Spike Analytics is designed for developers who need meaningful health insights fast without reinventing the wheel. And they're ideal for wellness platforms, clinical tools, and AI-driven health applications alike.

4. New providers and sources

Our integration ecosystem continues to expand with new support for COROS, Ultrahuman, Huawei Health, and Samsung Health.

What sets Spike apart is our direct API approach. Unlike Apple HealthKit and Google Health Connect, which often deliver fragmented data due to limited provider support, we connect directly to all the main providers. This means you get broader device coverage, richer metrics, and consistent data quality across all devices.

Our direct integration strategy eliminates common frustrations developers face: Garmin not syncing with Health Connect, missing sleep data from Polar and Withings, or inconsistent formatting across platforms. Instead, you get a unified, normalized stream of health data that's accurate, timely, and ready to use. The result is Spike as your single source of truth for longitudinal health data, whether it's from wearables, IoT devices, or emerging health technologies.

Additionally, we’ve updated our support framework, ensuring client queries are answered faster, issues are resolved proactively, and your teams can focus on building rather than troubleshooting.

Why This Shift Matters

The new Spike API is our cornerstone for enabling AI-ready solutions and delivering actionable human health insights. It's built to help you move fast, integrate broadly, and build smarter, without starting from scratch.

The demand for AI-compatible infrastructure is exploding. Usage of AI-ready APIs grew 3.2x in 2024 as developers increasingly need structured, model-compatible outputs from their development tools. Therefore, we're redesigning the data pipeline to be LLM-compatible, meaning the API not only collects and syncs data, but also cleans, enriches, and packages it in a way that's optimized for machine learning and AI models. The result? You spend less time wrestling with raw data and more time extracting meaningful insights.

And the timing couldn’t be more relevant: According to McKinsey, AI adoption in healthcare could unlock $200–$360 billion in annual value, largely through better outcomes, operational efficiencies, and automation of clinical workflows. But realizing that value requires high-quality, structured, longitudinal data, exactly what Spike is designed to provide.

This shift is also crucial in today's era of "vibe coding". The expressive, creative, and fast-paced development approach that's reshaping how software gets built. As TechRadar and Business Insider have reported, small teams are now shipping production-grade tools at unprecedented speed, powered by AI-native APIs like Spike that eliminate traditional data preparation bottlenecks.

Whether you're building with Swift, Kotlin, Flutter, or React Native, this API minimizes the engineering lift while maximizing data depth, so you can focus on what matters: delivering value to your users.

Ready to Build?

The next-gen Spike API offers more data, broader compatibility, and less overhead. It's the fastest way to integrate health data at scale, with Spike handling integration updates and new releases, making it the best way to future-proof your product for AI.

The opportunity in health technology has never been greater. With consumers increasingly focused on preventive health and AI capabilities reaching new heights, now is the time to build the next generation of health applications.

Let’s connect and explore how your current roadmap aligns with the new capabilities. Reach out to schedule a demo or dive into the updated documentation for everything you need to get started.

FAQs

What is the Spike Wearables API and how does it work?

The Spike Wearables API is a unified, AI-ready data infrastructure that allows developers to integrate health data from wearables and IoT devices using a single SDK. Unlike fragmented solutions, Spike connects directly to major providers including Samsung Health, Huawei Health, COROS, and Ultrahuman, delivering consistent, high-quality health data through one implementation rather than managing multiple separate integrations.

Is the Spike Wearables API suitable for enterprise health applications?

Yes, the next-gen Spike API is built for enterprise-scale applications with mission-critical uptime requirements. It features enterprise-grade infrastructure designed to handle large-scale data volumes while maintaining high fidelity, full regulatory compliance certification including GDPR, HIPAA, and CCPA standards, and reliable performance for clinical monitoring systems and patient care platforms.

Which wearable devices and health platforms does the Wearables API support?

Spike's wearable integration API supports major providers including COROS, Ultrahuman, Huawei Health, Samsung Health, and many others. The platform uses a direct API approach that provides broader device coverage and richer metrics compared to Apple HealthKit and Google Health Connect, which often deliver fragmented data due to limited provider support.