Fetch a report based on various parameters such as project, functions, quizzes, paywalls, and time ranges. This endpoint supports a variety of functions and filters for detailed analytical reporting. Available functions:

• totalSubscriptionsAndRevenue: Returns total subscriptions, total revenue, charged revenue, LTV, and average subscription amount.
• subscriptionsByDay: Provides subscriptions and revenue trends over time.
• subscriptionsByPriceId: Groups subscriptions by price ID and provides revenue and LTV details.
• subscriptionsByCountry: Groups subscriptions by country and shows total revenue.
• subscriptionsByPlatform: Groups subscriptions by user platform (iOS, Android, Windows, Mac, Linux, Unknown) taken from user_visits.user_platform. Counts active, trialing, past_due and canceled subscriptions that have a paid invoice or a refund.
• subscriptionsByLocation: Groups subscriptions by rounded user_visits.user_latitude/user_longitude (top 3000 points) with count and revenue, for map display.
• stepAnswers: Answers given on one quiz funnel step (step_event_name, e.g. Step 03 goals) by the users who reached it: per answer key (screen block), the number of users per answer. A multi-choice answer is split so every option is counted once per user; free input is limited to the top 10 values. Answers come from user properties of the quizzes in which the step was reached.
• visitsByLocation: Groups all non-bot user visits matching the filters by rounded user_visits.user_latitude/user_longitude (top 3000 points) with visit and user counts, for map display.
• purchasesByWeekdayHour: Counts purchases (active/trialing subscriptions with real payment) and revenue by day of week (1 = Monday) and hour of creation in UTC, for heatmap display Each row also carries visit_count (visits by visit time) and visit_purchase_count (purchases attributed to the visit time) for the conversion mode.
• subscriptionsByStatus: Breaks down subscriptions by status (e.g., active, incomplete, etc.).
• dailyCompletionRate: Tracks completion and conversion rates by day.
• quizFunnel: Provides detailed funnel step conversion rates for quizzes. Accepts answers_user_property / answers_user_property_value to count only the users who gave that answer (also for throughFunnel). Supports the optional group_by=user_country_code parameter to split the funnel by visitor country.
• paywallConversionByDays: Tracks paywall conversion rates by day.
• paywallFunnel: Shows the paywall funnel conversion breakdown.
• subscribeToInstallRate: Tracks the rate of rhe percent of users who purchased subscription and installed the app after (meaning - requested subscription status using API).
• utmReport: Funnel metrics grouped by UTM, country, or platform. Default grouping is campaign UTM (source_campaign_medium and related orders). Pass utm_grouping=country for a visitor-level country breakdown (user_country_code) or utm_grouping=user_platform for a visitor-level platform breakdown (user_platform). Both visitor groupings honor quizzes[] and the date range; rows are sorted by users_count descending. Visitor metrics (users_count, quizes_started, and earlier funnel steps) use quiz engagement. Subscription/revenue columns still attribute via subscription.quiz_id.
• metaAdsSpendByDay: Meta (Facebook) Ads spend aggregated by day from the ads_reports ClickHouse table (populated by the Meta/Facebook sync pipeline only). Supported filters: project, from, to, utm_source[], utm_medium[], utm_campaign[], utm_content[], utm_term[]. Ignored filters: quizzes[], paywalls[], quizzesVersion[], paywallVersion[], payment_system, user_country_code, user_platform, experiment_id, experiment_variant, user_property, user_property_value, utm_grouping. Returns an array of daily rows with date, spend (USD when spend_usd is available), clicks, impressions, and purchases.

{
  "success": 1
}