## Summary Please make the data shown in EAS Insights > App usage available through a documented, token-authenticated API, so we can pull it into our own dashboards on a schedule. ## Use case We ship a production app with expo-insights , with about 20k monthly active users on iOS and Android. We are building an internal dashboard that combines Insights with App Store Connect and Google Play data. It answers three questions: How many people use the app each month? How fast does each release get adopted? How many users get left behind when we raise the minimum OS version? Insights is the only source that counts active users across every installed version of the app. EAS Observe only covers builds on SDK 55 and later. App Store Connect only counts users who share analytics with developers, and Google Play counts installs rather than active users. ## Current workaround The Expo website reads these GraphQL fields, and they work with a robot access token: app.byId(appId).insights.totalUniqueUsers(timespan) app.byId(appId).insights.uniqueUsersByPlatformOverTime(timespan) app.byId(appId).insights.uniqueUsersByAppVersionOverTime(timespan) They are undocumented and eas-cli does not use them, so we cannot rely on them staying stable. ## What would help Official, documented access to the existing App usage metrics with a robot access token. A versioned GraphQL schema or a REST endpoint would work. So would an eas insights:* command with JSON output, like eas observe:* . App versions broken down by platform. Today the per-version series mixes iOS and Android, so we can't tell which platform the users of an old version are on. An OS version breakdown. expo-insights already sends os_version with every APP_LAUNCH event (the iOS version on iOS, the API level on Android), but neither the dashboard nor the API exposes it. Unique users per OS version, and per app version and OS version, would show how many users a minimum OS bump leaves behind. Documented semantics. What counts as a unique user (one per EAS client ID, so one per install?), the timezone and boundaries of daily and hourly buckets, and the retention period. We currently see about 365 days of history. Optionally, a way to tell app variants apart. The event carries no bundle identifier, so dev, test and production builds that share one EAS project are counted together.