ChatGPT Plugin

AppTrendKit

App downloads, revenue & ASO

Brand: Unknown

Category: Pending
Primary Subcategory: Pending

Integration details

Description

AppTrendKit brings mobile app market intelligence into your conversation. Ask about any iPhone app and get its publisher, category, rating, current App Store chart ranks and similar apps. For AppTrendKit's top 300 apps you also get estimated downloads and revenue for the last 7 and 30 days, growth, and the countries they earn the most in. You can also: - See the top free, paid and grossing charts for any country and category, or the apps climbing fastest. - Check how hard an App Store keyword is to rank for: difficulty, popularity and opportunity, with the reasons and the apps holding the top spots. - Work out what a developer keeps from a sale after VAT and Apple's commission. Every answer links to the app's page on AppTrendKit. Downloads and revenue are model estimates built from public App Store signals, not official figures. Built for indie developers, product managers, marketers and investors researching apps and markets.

Integration type: Plugin
Verification status: Not applicable
Platform: ChatGPT
Category: Pending
Primary Subcategory: Pending
Secondary Subcategories: None listed
Brand: Unknown
Access: No account required
First tracked: 2026-11-05
Tool count: 5
Market: US

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Primary Subcategory

Competitive lineup

No Primary Subcategory assigned yetOnce AppTrendKit has a Primary Subcategory, the Plugins and Connectors it competes with will appear here with their scores.

Tools

5 tools agents can invoke

Work out what a developer keeps from one App Store sale or subscription payment after VAT/GST and Apple's commission: 30% standard, 15% in the Small Business Program, 15% for subscriptions after a subscriber's first year. Optionally multiply by a number of sales per month. Pure arithmetic on Apple's standard terms; EU alternative terms and web-purchase links are not modelled.
calculate_app_store_proceeds
Check how hard it is to rank for a search term on the US App Store (App Store Optimization). Returns difficulty, popularity and opportunity as High/Medium/Low, the reasons (how many ratings the top apps have, how many put the phrase in their title, whether it's a brand search) and the top 3 apps. Only covers keywords AppTrendKit records daily in the US store; for unknown phrases it suggests similar recorded ones.
check_keyword_difficulty
Look up one of AppTrendKit's top 300 apps: listing (subtitle, publisher, category, price, rating), current App Store chart ranks, how it makes money, similar apps, estimated downloads and revenue for the last 7 and 30 days with growth, and the top countries. Pass an App Store id ("284882215"), a Google Play package ("com.spotify.music"), or an App Store / Google Play / AppTrendKit URL. Use search_apps first when you only know the app's name.
get_app_details
List the apps at the top of an App Store chart for a country and category: top free, top paid, top grossing, AppTrendKit's most downloaded or highest revenue, or the apps rising fastest and new entries. Returns up to 50 apps with chart position, publisher and rating. Apps in AppTrendKit's top 300 also have estimated 30-day downloads and revenue and a link to their AppTrendKit page; other entries show only their position. Use it for questions like "top grossing games in Germany" or "which productivity apps are climbing the charts".
get_top_charts
Find iPhone and iPad apps among AppTrendKit's top 300 by name, publisher or a word in the name or category (for example "Duolingo", "photo editor", "Google"). Returns up to 20 apps with publisher, category, rating, estimated downloads and revenue for the last 30 days, and a link to each app's AppTrendKit page. Apps outside the top 300 are not returned. Use it to identify an app before get_app_details, or to list competitors in a niche. It does not search App Store reviews or keywords.
search_apps

FAQs

AppTrendKit ChatGPT Plugin FAQ

How the directory, categories and Discoverability Score work.

Read the methodology

How do I improve AppTrendKit'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.