WeFitter
WeFitter is a health and fitness data platform ("one API to access wearable data, gamification and AI") operated by Thunderbyte.AI in Groningen, Netherlands. Its REST API aggregates health and activity data from 300+ wearables and fitness apps — Fitbit, Garmin, Google Fit, Apple Health, Withings, Polar, Oura, Whoop, Samsung Health, Huawei and more — into a single unified, deduplicated data model, and layers gamification (challenges, leaderboards, teams, points) and AI insights (biological age, recommendations) on top. Organizations use it to build corporate wellbeing, digital fitness, e-health and insurance solutions. WeFitter also ships mobile SDK bridges for Apple Health, Samsung Health and Android Health Connect.
Real signal across most facets with visible, nameable gaps — the contract exists but is thin, or the portal is good while governance and commercial terms are absent.
API Evangelist profiles WeFitter the way a machine reads it — 14 machine-readable artifacts across 9 APIs, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — WeFitter scores 51.1/100 (developing), with a separate agent-readiness read of 71/100 (agent native). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile WeFitter
Each block below is one kind of artifact we hold for WeFitter. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
APIs 9
Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.
Individual APIs this provider publishes, each with its own machine-readable definition.
WeFitter app API
The app API from WeFitter — 1 operation(s) for app.
WeFitter challenge API
WeFitter API’s challenge engine will bring endless engagement to your platform. For more information about the possibilities in challenges please go to https://www.wefitter.com/...
WeFitter connection API
Connections are the links between profiles and their wearables.
WeFitter insights API
The insights API from WeFitter — 1 operation(s) for insights.
WeFitter loyalty API
The loyalty API from WeFitter — 2 operation(s) for loyalty.
WeFitter notification API
Send a notification to all devices for the specified profiles The data will be sent to the client in the following format: ``` { "app":