Search "wearable integration cost" and you will find agency pages that answer with "it depends on your requirements — contact us for a quote." That's not a pricing model, it's a lead-capture form.
Our number is $3,500 per platform, two to four weeks. HealthKit, Health Connect, Garmin, Whoop, Fitbit or Oura — one platform, one fixed price, delivered finished. This page explains where that money goes, what moves it, what it explicitly does not cover, and the costs that don't appear on any invoice but show up in your calendar anyway.
What one platform at $3,500 includes
Five deliverables, and the fourth and fifth are the ones that separate a working integration from a demo:
- Integration design. Which data types, which direction, how they map into your existing model, and the source-priority rules that keep numbers honest when a user owns three devices.
- Implementation. Auth and permission flows, the sync engine, background delivery, webhook handling, unit and timezone normalization — production code in your repository, not a black-box wrapper.
- Edge-case handling. Duplicates, revoked permissions, offline gaps, backfilled history, DST transitions, the midnight-boundary problem.
- QA on real devices. Physical watches, rings and phones. Background scenarios, permission-denial states, multi-source accounts.
- Documentation and handoff. How the sync works, the merge rules, the failure states, and how to observe them — written down so the integration outlives everyone's memory of building it.
The full scope sits on the wearable integrations page, and every other price we publish is on the pricing page.
Where the money actually goes
The intuition that makes founders underestimate this work is that an API integration is API calls. In a wearable integration, the API calls are the smallest part. Our rough allocation across a typical platform:
| Phase | Share of effort | Why |
|---|---|---|
| API wiring and auth | ~20% | The documented part. Genuinely fast. |
| Data modeling and merge rules | ~25% | Source priority, dedup, mapping into your schema. |
| Edge cases and failure states | ~25% | Permissions, background delivery, offline, backfill, DST. |
| QA on physical devices | ~20% | Cannot be simulated. This is where the bugs are. |
| Documentation and handoff | ~10% | So the next engineer doesn't rediscover all of it. |
Half the work is in rows three and four. That's also where the cheap version of this project skips, which is why the cheap version generates one-star reviews about wrong step counts six weeks after launch.
If you want the technical detail behind those rows, HealthKit vs Health Connect vs Terra is the long version.
Why per-platform instead of one price for everything
Because each platform is genuinely its own project. HealthKit is an on-device framework where you cannot detect a denied read permission. Health Connect is an on-device store with a Play Console declaration and a historical-read cap. Garmin is a cloud API behind a signed agreement with asynchronous backfill. Whoop organizes data around physiological cycles instead of calendar days. They share almost nothing but the word "wearable".
Per-platform pricing also means you pay for exactly the platforms your users have. A bundled "all wearables" price is a bundle you'd be paying for platforms nobody in your user base owns.
What moves the price
The $3,500 holds for a normal integration. These are the honest variables that move it, and we'll tell you which apply before you commit:
- Number of data types. Steps, workouts and sleep is a normal scope. Adding blood glucose, reproductive health, nutrition and body composition adds mapping and QA surface.
- Write as well as read. Pushing data back into HealthKit or Health Connect adds a permission surface, upsert semantics, and a whole class of "we created duplicates in the user's Health app" bugs.
- Backfill depth. Thirty days is a different job from three years. Deep backfill means pagination, rate-limit-aware queueing, an async import UX and a progress state.
- The state of your existing data model. If your schema has no concept of a data source, we have to add one before merge rules are even expressible. That's real work, and it's cheaper done once than per integration.
- Second and subsequent platforms. Counterintuitively, platform two is often harder than platform one — not because the API is harder, but because merge rules only become real when there's something to merge. The unit price is the same; the complexity lives in the shared layer.
What $3,500 does not buy
Being explicit here saves everyone a conversation.
- An Apple Watch app. Reading Apple Watch data through HealthKit is an integration. A watchOS app with live workout sessions, complications and its own UI is a separate build — see Apple Watch app development.
- Vendor approval time. Garmin requires an application and a signed agreement. Fitbit's granular intraday data requires a separate approval. Google Play requires a health data-type declaration. We can help you prepare these, we cannot accelerate them, and they are calendar time you should start before the sprint.
- An aggregator subscription. If we recommend Terra, Spike or a similar service for a long tail of vendors, their per-user fee is yours and it's recurring.
- A rebuild of your app. If the integration reveals that your data model can't hold multi-source health data, that's a scoping conversation, not a silent overrun.
- Compliance certification. We build HIPAA-aware systems and map the boundaries during planning. We do not issue certifications or legal sign-off, and there is no such thing as a HIPAA-certified integration.
The timeline, week by week
Two to four weeks per platform. Here's what those weeks contain.
Week 1 — design and auth. Data type selection, schema mapping, source-priority rules agreed in writing, OAuth or permission flow working end to end against a real account. By the end of this week you can see your own data in a test build.
Week 2 — the sync engine. Background delivery or scheduled reconciliation, webhook handling, incremental sync with persisted anchors or change tokens, unit and timezone normalization, initial backfill.
Week 3 — edge cases. Dedup rules against a genuinely multi-device test account. Permission revocation and recovery. Offline and gap handling. DST and midnight boundaries. Rate-limit backoff. This is the week that decides whether users trust your numbers.
Week 4 — QA and handoff. Real hardware, real accounts, real background scenarios. Documentation. A demonstrated failure-state walkthrough with your team.
Simple platforms with shallow scope finish inside two weeks. Garmin, or anything with deep backfill and a messy existing schema, uses all four. We tell you which one you're in before we start, not after week three.
The costs that aren't on the invoice
These are the ones that catch founders out.
Vendor approval calendar time. The single most common cause of a slipped wearable milestone is paperwork, not code. Start it early.
Ongoing maintenance. Wearable APIs deprecate. Whoop has moved across major API versions. Google has been sunsetting the legacy Fit APIs in favor of Health Connect. Apple changes HealthKit behavior at every major iOS release, and Android's background execution rules tighten most years. An integration is not a one-time purchase; budget for it in your app maintenance retainer, which starts at $1,000/mo.
Test hardware. You need the actual devices. A Whoop integration tested only against sample payloads is untested. This is a small cost that teams somehow forget.
Support load. Wearable sync generates support tickets forever, because half of them are the user's own vendor app not having synced. Build the per-source "last synced" timestamp and a self-service troubleshooting page, and you convert most of those tickets into zero tickets.
Aggregator per-user fees at scale. Cheap at 500 connected users. A real line item at 50,000. Model it at the scale you're planning for.
How this compares to the alternatives
We're not going to invent competitors' prices. We'll describe the patterns instead, because they're consistent.
Enterprise agencies quote wearable work as part of a larger engagement, typically in the six figures, with a discovery phase billed before anyone writes code. If you need an enterprise vendor for procurement reasons, that's a legitimate reason to pay it. If you need a working HealthKit sync, it isn't.
Hourly contractors look cheapest and frequently aren't, because the estimate is made against the API wiring — the 20% — and the other 80% arrives as change requests. The specific risk is that edge cases get deprioritized under budget pressure, which means you pay for the integration twice: once to build it and once to repair it.
Aggregators are a genuine alternative when you need four or more cloud vendors. Recurring cost, faster start, less control, and they still don't cover HealthKit or Health Connect without an SDK in your app. We recommend them when they're right, including when that makes our project smaller. The decision framework is in Whoop, Oura, Garmin and Fitbit access tiers.
Doing nothing yet is underrated. If your reviews aren't asking for wearable sync and your analytics don't show device-owning users churning, this is a feature you can defer. We'd rather tell you that than sell you a platform your users don't own.
Multi-platform math
Most products need two to three platforms, not six.
| Coverage | Price | Typical fit |
|---|---|---|
| HealthKit only | $3,500 | iOS-first consumer fitness or wellness |
| HealthKit + Health Connect | $7,000 | Cross-platform consumer app |
| HealthKit + Health Connect + one vendor cloud | $10,500 | Coaching platform where recovery data matters |
| Four platforms | $14,000 | Serious multi-device product — consider an aggregator for anything beyond this |
That sits inside the $12,000–$25,000 band on our pricing page, which is the band where a bounded version one gets built. For the wider picture of what a tracking app costs end to end, see what it costs to build an app like Strava.
If you already have a sync that half works
Usually the answer is repair, not rebuild, and the symptoms map to causes reliably:
- "Wrong step counts" is almost always a deduplication problem — phone and watch both reporting, summed instead of merged.
- "Missed workouts" is a background-delivery problem — often an observer query whose completion handler is never called.
- "The numbers changed overnight" is a timezone problem.
- "It just stopped for some users" is a permission-revocation or expired-token problem.
We assess what exists before quoting. If the foundation is sound, you pay for the fix rather than a rewrite. If it isn't, we say so. Either way you get a written assessment, and the QA and release discipline that should have been applied the first time.
Tell us what your reviews are saying and we'll tell you which of the four it is.
Frequently asked questions
How much does HealthKit integration cost?
$3,500 for a normal scope — steps, workouts, heart rate and sleep — delivered in two to four weeks with deduplication, background delivery, timezone handling, real-device QA and documentation. Deeper scopes (many data types, writing data back, multi-year backfill) are quoted before work starts, never as an overrun.
Why is Garmin more work than Oura?
Garmin requires an application and a signed agreement before production access, splits its data across separate API products, uses asynchronous backfill that arrives at your webhook over time, and produces the richest activity files of any vendor. Oura's v2 API is date-ranged, cleanly documented and fast to integrate. The price is the same; the calendar risk is not, and it's mostly paperwork.
Can we just use an aggregator and skip all this?
For cloud vendors, often yes. For HealthKit and Health Connect, no — an aggregator still ships an SDK inside your app that runs the same permission flow, so you own the UX and the failure states either way. Aggregators also don't deduplicate across sources, which is the work that actually makes numbers trustworthy.
How long before users see their historical data?
Depends on the source and how far back you want. HealthKit history is on the device and available immediately, subject to paging. Health Connect caps historical reads without an additional permission. Cloud vendors backfill asynchronously and rate-limit it, so a multi-year import can take hours per user. Most products should import 30–90 days synchronously and the rest in the background.
Do you work on an existing codebase or only new builds?
Both. A large share of the wearable work we do is repair on an existing integration. We assess first and quote the repair, and if the foundation genuinely can't hold multi-source data we tell you that before you spend, not after.

