ChatGPT Plugin

Easy App Reports

App store & ads analytics

Brand: Unknown

Category: Pending
Primary Subcategory: Pending

Integration details

Description

Easy App Reports collects your app data from App Store Connect, Google Play, Apple Ads and Google Ads into one place. This app lets ChatGPT answer questions about that data: downloads and installs, revenue and proceeds, subscriptions, ratings and reviews, crashes, store traffic, and ads performance. Ask in plain language, for example "How many downloads did my apps get last week, App Store and Google Play?" or "Summarize my 1 and 2 star Google Play reviews from the last two weeks." ChatGPT checks which data your account has and how recent it is, queries it, and answers with the numbers. Ask for a dashboard to see KPI tiles, line and bar charts and a sortable table in the chat. The app only reads your data: it can't change your data, sources or settings, and it only sees your own company's data. The one thing it can send is feedback you ask it to pass on to the Easy App Reports team. Sign in with your Easy App Reports account. You need an Easy App Reports account with at least one connected source.

Integration type: Plugin
Verification status: Not applicable
Platform: ChatGPT
Category: Pending
Primary Subcategory: Pending
Secondary Subcategories: None listed
Brand: Unknown
Access: Account required
First tracked: 2026-10-31
Tool count: 6
Market: US

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Primary Subcategory

Competitive lineup

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Tools

6 tools agents can invoke

Returns a table's columns, types and meaning, plus any rules for querying it. Call it for each table you will use in run_query.
get_table_schema
Lists the company's Easy App Reports tables: what each one is for, the latest date it has data for, and which data sources are not connected. Call this first, before writing any query.
list_tables
Runs one read-only SELECT on the company's Easy App Reports data in Google BigQuery (GoogleSQL, https://cloud.google.com/bigquery/docs/reference/standard-sql/query-syntax) that calculates revenue per download for an app, by country, and returns the rows. The calculation: App Store (iOS), joined on territory: - Downloads: as_analytics_downloads, SUM(counts) where download_type IN ('First-time download', 'Redownload'); other download types are updates and restores, not downloads. - Revenue: as_analytics_purchases, SUM(proceeds_in_usd), already in USD. - App filter: app_name. Google Play (Android), joined on gdc_earnings.buyer_country = gdc_installs_country.country: - Downloads: gdc_installs_country, SUM(daily_user_installs). - Revenue: gdc_earnings, SUM(amount_merchant_currency) where transaction_type = 'Charge' (gross charges, before Google's fee and refunds). - App filter: package_name in gdc_installs_country, product_id in gdc_earnings. - Currency: amounts are in merchant_currency, the developer's payout currency (for example BRL for a Brazilian developer), which is USD only for some accounts. Revenue per download = revenue / NULLIF(downloads, 0), per country, over the same date range for both. Countries with no downloads have no revenue per download.
revenue_per_download_analysis
Runs one read-only SELECT on the company's Easy App Reports data in Google BigQuery and returns the rows. The query is BigQuery GoogleSQL (https://cloud.google.com/bigquery/docs/reference/standard-sql/query-syntax). Table names come from list_tables (e.g. gdc_reviews or ear_all_sources.gdc_reviews; the project is filled in) and columns from get_table_schema; name the columns you need rather than SELECT *.
run_query
Sends the user's feedback about the Easy App Reports connector (a problem, a wrong answer or a suggestion) to the Easy App Reports team. Use it only when the user asks to send feedback; the text is sent as the user wrote or confirmed it.
send_feedback
Shows the user a dashboard in the chat: KPI tiles, up to 4 line or bar charts and a table, from data you already got with run_query. Use it when the user asks for a dashboard, chart, trend or comparison. Use only numbers from query results, say the period in the subtitle, give money a currency code, and add notes for data that is not recent. Line charts for change over time, bar charts to compare items; at most 4 series per chart. Table rows appear in the order given; for a ranked table (top countries, top apps) set table.sortBy and the widget sorts them. Users can re-sort by clicking a column header.
show_dashboard

FAQs

Easy App Reports ChatGPT Plugin FAQ

How the directory, categories and Discoverability Score work.

Read the methodology

How do I improve Easy App Reports's ChatGPT Plugin discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.