REST + remote MCP

AppCurrents Data API

Give agents and scripts access to AppCurrents app-store intelligence: opportunity feeds, modeled revenue/download ranges, chart history, category benchmarks, and monetization teardowns.

Manage API keys View metadata OpenAPI JSON

Quickstart

curl -H "Authorization: Bearer YOUR_KEY" \
  "https://appcurrents.com/api/v1/feed?feed=hidden-gems&limit=5"

claude mcp add --transport http appcurrents \
  https://appcurrents.com/api/mcp \
  --header "Authorization: Bearer YOUR_KEY"

Tools

search_apps

Search AppCurrents apps by exact app or developer name. Returns capped app rows with modeled estimate ranges and AppCurrents source URLs. For concept, niche, or market-question discovery (e.g. "bird watching", "AI journaling") use discover_apps instead.

discover_apps

Discover apps by concept, niche, or market question (e.g. "bird watching", "ingredient scanning", "AI journaling"). Matches app descriptions semantically and by keyword, then ranks by AppCurrents market signals, with per-result match reasons and evidence. Put the TOPIC in `query` and constraints in the structured fields — emerging/new apps via released_within, monetization via monetization, and CRUCIALLY `type` to separate real-world apps from games: set type="app" to exclude games (a "biking apps" query otherwise pulls in bike-racing games), type="game" for games only. Optionally scope to one store `category` (e.g. "Health & Fitness", "Navigation", "Sports"). For exact app or developer NAME lookup use search_apps instead. Each result already includes the app's estimates, ratings, and market signals — do NOT call get_app to enrich discovered apps; only use get_app when the user asks about one specific app.

get_app

Get one app with estimates, ranks, category benchmark, teardown availability, and similar app suggestions.

get_rank_history

Return an app rank time series for one storefront, preferring overall charts and falling back to category charts.

get_estimate_history

Return modeled download and revenue estimate history for one app. Values are ranges, not exact counts.

list_feed

List a curated or custom AppCurrents opportunity feed. Results are capped and paginated with offset.

get_top_charts

Return the latest raw store chart for a platform, country, chart kind, and optional category.

get_category_benchmarks

Return precomputed category benchmark revenue/download percentiles for a platform or one genre.

get_teardown

Return the published monetization teardown for an app, when available.

list_options

Return valid feed, filter, chart, country, genre, and published teardown options.

Estimate policy

Download and revenue figures are modeled estimate ranges with confidence labels, not exact counts. Every API and MCP response links back to AppCurrents and the public methodology.