WearAPI.com

THE WEARABLE DEVELOPER RESOURCE

Make sense of
wearable data.

From the first sensor reading to a dependable app. Explore the APIs, data models, and engineering decisions behind watches, rings, and connected clothing.

Explore the APIs Read the docs
Free to exploreDeveloper focusedSource grounded
DEVICE → DATA → POSSIBILITYConcept illustration of a black smartwatch and titanium smart ring illuminated by cyan and fuchsia light.
sample-record.jsonILLUSTRATIVE DATA
{
  "type": "heart_rate",
  "value": 72, "unit": "bpm",
  "source": "example_watch",
  "observed_at": "2026-09-30T08:00:00Z"
}

EXPLORE THE WEARABLE ECOSYSTEM

Smart watchesSmart ringsConnected clothingHeart rate monitorsWearable AI

ONE ECOSYSTEM. MANY WAYS IN.

Find your integration path.

Understand the device, choose the right interface, and keep the meaning behind every measurement.

The fundamentals

Wearable API

A useful wearable API integration keeps device differences visible while giving your application a predictable way to work with them.

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AI Clothing Wear API

Connected garments bring sensing closer to the body. A useful integration starts with the garment’s electronics and data contract, then considers what an AI model can reliably infer.

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Wearable AI Device

A wearable AI device combines sensing with an inference task. The useful question is which decision belongs on the device, which belongs on the phone, and what should happen when confidence is low.

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Smart Watch Wear API

Smart watch APIs can support active experiences on the wrist and records reviewed later on a phone. Choose the route that matches the experience you are building.

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Smart Ring Wear API

Smart ring integrations often begin with vendor-account data. Keep sleep sessions, daily summaries, and derived scores separate so your product can explain what each record means.

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Heart Rate Monitor Wear API

A heart rate value is useful only when your app understands its unit, timing, source, and availability. Build that context into the integration from the first sample.

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New to wearable APIs?

Start with the access paths, essential terms, and questions that shape a good integration.

Start with Wear API

DESIGNED FOR DEVELOPERS

Better questions.
Better integrations.

The first successful reading is a start. A useful product also needs to handle everything around it.

01

Choose where the data comes from.

Device, phone store, or vendor cloud? Let the feature’s timing and scope guide the choice.

02

Keep the context with the value.

Source, unit, time, and missing-data behavior belong in the same design conversation.

03

Build for the imperfect day.

Plan for late sync, declined permissions, duplicate records, and an offline device.

Explore the integration patterns
Different devices. Clearer records.Examples
{
  "type": "heart_rate",
  "value": 72,
  "unit": "bpm",
  "observed_at": "2026-09-30T08:00:00Z",
  "received_at": "2026-09-30T08:04:00Z",
  "source": {
    "device": "example_watch",
    "record_id": "sample-001"
  }
}

Illustrative schemas for learning. Field names and availability vary by provider.

WEAR API LAB

Fresh thinking from the lab.

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A FEW THINGS, EXPLAINED

Start with
the right questions.

Straightforward answers before you write the first line of integration code.

More about WearAPI.com
What does “wear API” actually mean?

It is a broad term for interfaces that connect applications to wearable devices or their data. A device framework, a phone health store, and a vendor cloud API each serve a different access path. The Wear API guide explains how to choose between them.

Is WearAPI.com a live API service?

WearAPI.com publishes developer guides, integration patterns, and educational examples. The examples explain data design; connecting a real device requires the relevant manufacturer or platform interface and the user’s permission.

Can one API connect every smart watch and ring?

Do not assume universal coverage. Device support, available fields, permission behavior, and delivery timing depend on the interface. Confirm the specific devices and measurements your application needs before choosing an integration.

What is the difference between heart rate and RR intervals?

Heart rate is commonly expressed in beats per minute. RR intervals describe the time between successive beats. They are distinct data types, and a source that provides heart rate may not expose intervals or a raw waveform.

Does AI clothing mean virtual try-on?

Here, AI clothing refers to sensor-equipped garments and inference based on physical signals. Virtual try-on works with images of people and clothing; it is a separate integration problem.

Where should a new developer begin?

Start with one useful outcome, one source, and the smallest permission scope that supports it. Use the Docs and sample records to think through timestamps, missing values, and source context before connecting a real device.

FROM CURIOSITY TO A CLEAR PLAN

Your next integration starts here.

Choose an access path, understand the data, and build a first example you can reason about.

Open the docs