revenuecat-charts

To get RevenueCat chart data, you query specific metrics using MCP endpoints for chart schemas and chart data, applying date ranges, resolution, segmentation, and filters to retrieve chart-ready analytics.

Building correct RevenueCat dashboard deep links requires using a mandated URL structure and specific range encoding format, ensuring links open the exact expected chart state with selected metrics and filters applied.

Yes, you can segment RevenueCat analytics data by querying metrics with defined timeframes, high granularity, and specific segmentation filters like country, starting with broader ranges to avoid context overload.

Using the chart options schema before retrieving data guides you to query the right metrics without bloating context, ensuring you apply correct chart-specific selectors and filters for accurate acquisition and reactivation analysis.

Yes, this approach works for reactivation and acquisition analysis by providing a clear metric interpretation framework to reason about user funnels using benchmark-oriented chart families and specific date ranges.

Querying RevenueCat charts with high granularity over long timeframes risks context overload, so it is recommended to start with defined timeframes and higher granularity to manage data volume and processing limits.