SpikeAPI

by SpikeAPI  · Based in United States → — 360° Health Data for AI
Cardiology Family Medicine Internal Medicine
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Overview

SpikeAPI is a unified health data integration platform designed for digital health developers, medical practices, and healthcare organizations. It acts as a single API gateway that aggregates, standardizes, and normalizes health data from more than 500 external sources, including consumer wearables, medical IoT devices, electronic medical records (EMRs/EHRs), and laboratory reports.

The platform is built to fit into clinical and administrative workflows by streamlining how patient-generated health data is ingested. Key capabilities and features include:

  • Wearable & IoT Integration: Consolidates raw and structured data from major wearable brands and medical IoT devices, such as continuous glucose monitors, ECGs, and blood pressure cuffs.
  • EHR & Lab Connectivity: Connects with major EHR systems and captures diagnostic data directly from lab reports to support patient monitoring.
  • Nutrition AI: Converts food images into structured nutritional data to assist with dietary tracking.
  • Administrative AI Agents: Features voice-enabled AI agents capable of handling clinic tasks such as scheduling, care coordination, and insurance eligibility checks.

By handling API maintenance, version control, and data normalization, SpikeAPI allows healthcare providers and digital health companies to access a comprehensive view of patient health data without managing individual integration pipelines.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • Single API for 500+ integrations (wearables, IoT, EMRs, labs)
  • Normalized and AI-ready health data
  • Real-time data delivery
  • Nutrition AI scanner from food photos
  • Lab report integration
  • EMR & EHR system integration
  • Voice AI Agents for administrative tasks
  • Dedicated implementation engineer
  • Secure authentication using HMAC signatures
  • No storage of personal user data

Use Cases

  • Personalized health insights and recommendations
  • Remote patient monitoring
  • Diabetes management and chronic disease applications
  • Fitness apps with AI coaching
  • Sleep optimization apps
  • Nutrition and weight loss apps

What Physicians Need to Know

Healthcare API Support (FHIR/HL7)
SpikeAPI primarily focuses on integrating data from 500+ wearables and IoT medical devices, nutrition data, and lab reports. While it supports AI-ready data for LLMs, direct mentions of FHIR/HL7 API support are not prominent in the provided information. However, it does mention that its data is 'MCP-ready' and that the Model Context Protocol (MCP) can connect AI agents with FHIR APIs, EHRs, and clinical workflows.
HIPAA-Compliant Infrastructure
SpikeAPI is HIPAA, GDPR, and CCPA compliant, ensuring healthcare-grade security measures for handling sensitive health data. All health data is encrypted.
Clinical NLP Capabilities
SpikeAPI's Model Context Protocol (MCP) layer cleans, enriches, and packages data to be LLM-compatible, enabling AI analytics for health. This facilitates the creation of intelligent health chatbots and personalized insights.
De-Identification Tools
While SpikeAPI focuses on secure and compliant data handling, the provided information does not explicitly detail built-in de-identification tools. However, de-identification is a critical procedure for safeguarding PHI in clinical notes and is often achieved through techniques like masking or entity labeling.
Medical Terminology Support
SpikeAPI normalizes and standardizes data from various health sources, making it easily digestible. This structured, model-compatible data taxonomy reduces data preparation time for AI applications.
Sandbox/Testing Environment
SpikeAPI offers a sandbox environment for developers to test and validate API integrations without affecting live data. It's designed for quick implementation and includes dedicated implementation engineer support from the sandbox level.
SDK Languages
SpikeAPI provides an SDK that is compatible with Kotlin, Swift, Flutter, and React Native. The SDK is built on Apple HealthKit (iOS) and Android Health Connect (Android) and supports background data delivery.
Physician Tip

SpikeAPI can be a powerful tool for physicians and healthcare providers looking to integrate diverse patient data into AI-powered applications. Its ability to unify data from over 500 wearables, IoT devices, nutrition tracking, and lab reports can provide a holistic view of patient health. The AI-ready data and MCP layer can help in generating personalized insights, supporting AI coaching, and potentially aiding in early detection and personalized treatment plans. The HIPAA compliance is crucial for maintaining patient data privacy and security. Physicians should consider how integrating such a platform can enhance remote patient monitoring, chronic disease management, and overall patient engagement through intelligent, data-driven insights.

SpikeAPI acts as a unified integration layer, connecting healthcare applications to a wide array of health data sources, including 500+ medical devices and IoT sensors, Apple Health, Fitbit, Garmin, Oura, nutrition tracking apps, and lab reports. It streamlines data from these sources into a standardized, normalized, and AI-ready format, reducing the need for individual integrations. The MCP layer further facilitates integration with various Large Language Models (LLMs) for AI-powered analytics and chatbot development.

Details

Category Developer Tools & APIs, Documentation & Scribing, Wearables & Remote Monitoring (RPM)
Pricing Subscription
  • Sandbox Plan: Starts from $450/month, includes unlimited integrations and standard support; Enterprise Plan: Custom packages with bespoke MSAs, SLAs, and priority white-glove support
DeploymentCloud-based
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status Unknown AI-estimated

SpikeAPI itself does not claim FDA clearance. While it integrates with FDA-approved devices, the platform itself is not a medical device.
Integrations
EHR Not specified
Specialties Cardiology, Family Medicine, Internal Medicine

Ratings & Reviews

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Clinical Value
Ease of Use
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Videos

Product demos, reviews, and walkthroughs for SpikeAPI.

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Frequently Asked Questions

SpikeAPI is a unified API platform designed for developers to integrate health and fitness data from over 500 wearables, IoT devices, and other sources like nutrition logs and lab reports. In a medical context, it allows healthcare applications to access and standardize diverse patient health data, enabling features like remote patient monitoring, personalized health insights, and AI-powered coaching.
SpikeAPI is designed to be fully compliant with HIPAA, GDPR, and CCPA regulations. It ensures health data is encrypted and handled with healthcare-grade security measures, and offers features like customizable data retention policies and PII obfuscation.
Primary alternatives include Apple HealthKit and Google Health Connect, as well as other API aggregators like Terra. SpikeAPI differentiates itself by connecting directly to provider APIs for broader and more reliable data access, offering a consolidated and unified data model, and providing proactive data updates via webhooks, which HealthKit and Health Connect may not. Open-source alternatives like Gatus and Open Wearables also exist, with Open Wearables offering self-hosting and full data ownership.
While SpikeAPI excels at aggregating data from wearables, IoT devices, nutrition, and lab reports, its published information does not explicitly list direct EHR or practice management integrations. Other solutions like Redox or Google Cloud Healthcare API are specifically designed for comprehensive EHR integration and interoperability.
SpikeAPI uses a usage-driven, transparent, and flexible pricing model that scales with your application's needs. Pricing typically depends on the number of users and specific requirements, such as the inclusion of the Spike MCP layer for AI-ready data.
While powerful for data aggregation and AI integration, SpikeAPI is primarily a point solution for decision support and workflow automation, rather than a comprehensive patient engagement platform. It may not offer full patient engagement features or direct integrations with EHR/practice management systems, which might require additional solutions.
SpikeAPI is designed for quick implementation, with many developers integrating it in under a week. It offers developer-friendly documentation and provides a dedicated implementation engineer to assist with the process, significantly reducing engineering overhead compared to building individual device integrations.

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Suggest an Edit → | Last Verified: 2026-06-23 | First Added: 2026-06-23

Investors who backed SpikeAPI

Funded through the company that built this tool.

TechOne VC
VC AI T2
Istanbul, Turkey
$500k-$5M
TechOne VC is a fast-growing new-generation Turkish VC headquartered in Istanbul with strong activity in AI and marketplace models. The firm writes…
AI/ML in Healthcare Digital Health
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