@appfigures/cli

The Appfigures CLI — query app metrics, reviews, and store data from your terminal.
Try it now without installing:
npx @appfigures/cli auth login
npx @appfigures/cli apps search "youtube"
Install
npm install -g @appfigures/cli
Requires Node.js 22+. Works with pnpm and yarn too.
Quick start
appfigures auth login
appfigures --help
Also available as af alias.
Authentication
- Log in yourself.
af auth login --interactive opens your browser in a guided flow; approve and paste the code back.
- Or let your agent guide you. By default,
af auth login prints an authorization URL — open it, approve, and finish with af auth login --code <code> using the code shown. An agent can drive this end to end. For unattended use, set APPFIGURES_API_KEY instead: create a token at appfigures.com/developers/keys by clicking Create a New Client, then Create Personal Access Token.
Either login saves the token to your OS credential manager (macOS Keychain, Windows Credential Manager, Linux Secret Service). See Environment for APPFIGURES_API_KEY and other overrides.
MCP server
af mcp runs a local Model Context Protocol server over stdio, exposing the CLI's app-intelligence commands as MCP tools. Point any MCP client (Claude Desktop, Cursor, and others) at it to let an agent query app metrics, reviews, and store data directly.
Add it to your client's MCP config:
{
"mcpServers": {
"appfigures": {
"command": "npx",
"args": ["-y", "@appfigures/cli", "mcp"]
}
}
}
The server signs in with your stored credentials, so run af auth login once first. For a headless setup, pass a token through the client's env instead:
{
"mcpServers": {
"appfigures": {
"command": "npx",
"args": ["-y", "@appfigures/cli", "mcp"],
"env": { "APPFIGURES_API_KEY": "<your-token>" }
}
}
}
Installed the CLI globally instead of running it through npx? Use "command": "af" with "args": ["mcp"].
Commands
Apps
Find apps and look up their identity. Other commands take the app IDs these return.
af apps search | Find apps by name or publisher. Returns one row per unified app. Default returns Apple and Google listings; pass --all-stores to include other storefronts. To filter apps by estimate values (e.g. apps with >100k downloads last month) use explorer list-products. For estimates broken down by time, country, or storefront, use metrics query with datasets estimates.sales or estimates.revenue. |
af apps tracked | List the apps your Appfigures account tracks. |
af apps get | Get an app's record: basic metadata (name, developer, etc) and, if the user tracks it, what data they can access. Pass a product ID for one storefront; unified app ID for all storefronts together. |
Explorer
Search and analyze the full app catalog: millions of products across Apple, Google Play, Amazon, and other major stores, with 120+ fields spanning identity, storefront and country availability, categories, ratings, release dates, chart ranks, download and revenue estimates, SDK presence, demographics, and related apps.
af explorer list‑products | Read catalog fields for one app or many. Fields referenced by query or sort come back automatically; pass --extra-fields for more. Use ["match","product_id",<id>] for a single app, or combine filters for population queries (e.g. iOS apps using Firebase with $1M+ US revenue). The 120+ fields span ranks, ratings, download and revenue estimates, SDKs, demographics, and more; query grammar and field list in docs get catalog_playbook. |
af explorer aggregate‑products | Aggregate across the full catalog of millions of products across Apple, Google Play, Amazon, and other major stores: counts, averages, min/max, and histograms over any set of matching products. Uses the same query grammar as explorer list-products; returns aggregates, not product records. For market sizing, benchmarking, and segment analysis. |
af explorer describe‑fields | List the catalog fields and the current user's access level for each. Same field set explorer list-products and explorer aggregate-products accept. Pass --q to search the catalog by keyword. |
Metrics
Query numeric datasets across dimensions.
af metrics query | Query any numeric dataset for one or more apps. Optionally grouped by up to two dimensions, returned as a nested partition tree, not app records. Independently filterable by country, device type, and date range. filterAppsBy* options narrow the app set (by ID, storefront, source, or type). Some datasets require app ownership; others work for any app (with the right plan). |
Store
App store presence: listing content, category ranks, top charts, and featured placements.
af store app‑ranks | Trace rank history for one or more apps across countries, device types, category subtypes, and categories, as time-series positions with day-over-day deltas. |
af store top‑charts | List the top apps in a category chart for a given country and category, with current positions and day-over-day deltas. |
af store categories | List every store category with its ID. Numeric category IDs required by store app-ranks --category-ids and store top-charts --category-id are available here. |
af store featured | List featured and editorial placements for an app or storefront product. Pass --count=0 for summary stats only. |
af store app‑listing | Read the full store listing for one storefront: localized text (name, subtitle, description, release notes) plus screenshots, video, categories, monetization, supported devices, country availability, price, file size, and age rating. Takes a numeric product ID (one storefront at a time; a unified app has one product per storefront). One locale per request. |
Reviews
Search, summarize, and reply to iOS and Google Play app store reviews.
af reviews list | Read individual reviews for one or more apps. Returns review text, star rating, country, and app version. Filterable by star rating, date range, country, version, and tracking relationship. |
af reviews breakdown | Aggregate review counts for one or more apps, bucketed by dimension. Returns one count per dimension value, plus a global total across the matched set. |
af reviews reply | Post or withdraw a developer response on a specific review. Pass content to post; pass delete: true to withdraw a previously-posted response. Returns the resulting state (published/pending for a post, removed/removal_pending for a withdrawal) along with the submitting account. |
Keywords
Organic keyword visibility and tracking.
af keywords list | List tracked keywords with their opaque IDs. |
af keywords rankings | Check the organic keywords one or more apps rank for, with position, popularity, and competitiveness. |
Sdks
Look up the SDKs we track.
af sdks list | List every known SDK with its id, or search to find a specific one. |
Docs
Reference docs and guides for specific actions and common tasks.
API
MCP
af mcp | Run an MCP server over stdio for MCP clients like Claude Desktop and Cursor to call Appfigures tools. |
Auth
Run af <command> --help for arguments, flags, and examples.
Environment
APPFIGURES_API_KEY | API key; skips interactive auth |
AF_VERBOSE | Log HTTP to stderr (same as -v) |
NO_COLOR | Disable ANSI color |
NO_UPDATE_NOTIFIER | Skip the npm-registry update check |
CI | Also skips the update check (any CI system) |
API Reference
Every command with its full argument and flag list. For the one-line overview, see Commands above.
Global flags. All commands accept:
-v, --verbose — Log HTTP requests to stderr. Also set via AF_VERBOSE=1.
-V, --version — Print the CLI version and exit.
-h, --help — Show usage for the current command.
Output format. Every command emits a single JSON value on stdout — pipe to jq for filtering. Informational messages, hints, and update notices go to stderr so pipelines stay clean.
af apps search
af apps search <query> [flags]
Find apps by name or publisher. Returns one row per unified app. Default returns Apple and Google listings; pass --all-stores to include other storefronts. To filter apps by estimate values (e.g. apps with >100k downloads last month) use explorer list-products. For estimates broken down by time, country, or storefront, use metrics query with datasets estimates.sales or estimates.revenue.
Options
<query> required string. Search query (app name or publisher).
--all-stores boolean, default false. Include storefronts beyond Apple and Google: Amazon, Windows, Steam, Roku, LG TV, Samsung TV, and others.
--count integer, default 10. Number of results to return
--page integer, default 1. Page number.
Examples
af apps search 'electronic arts'
af apps search 'electronic arts' --count=25 --page=2
af apps search minecraft --all-stores
af apps tracked
af apps tracked [flags]
List the apps your Appfigures account tracks.
Options
--count integer, default 10. Number of results to return
--page integer, default 1. Page number.
--q string. App name to filter by.
--filter-apps-by-id (integer or string)[]. Only include data about specific apps, by product ID or unified app ID. Takes precedence over the other filterAppsBy* keys when set. Storefront, source, or type filters are better for app sets that can be described by those criteria.
--filter-apps-by-storefront string[]. Narrow the account's tracked apps to those on these storefronts (e.g. apple:ios, google_play).
--filter-apps-by-source string[]. Narrow the account's tracked apps by tracking relationship.
--filter-apps-by-type string[]. Narrow the account's tracked apps to products of these types.
Examples
af apps tracked --filter-apps-by-source=own,shared
af apps tracked --q=fitness
af apps tracked --filter-apps-by-storefront=apple:ios
af apps tracked --filter-apps-by-source=own,shared --count=50 --page=2
af apps tracked --filter-apps-by-source=manual
af apps tracked --filter-apps-by-type=inapp,subscription
af apps get
af apps get <app-id> [flags]
Get an app's record: basic metadata (name, developer, etc) and, if the user tracks it, what data they can access. Pass a product ID for one storefront; unified app ID for all storefronts together.
Options
<app-id> required integer or string. App identifier. Unified app ID or product ID.
--all-stores boolean, default false. For a unified app ID: include member products across all storefronts (Amazon, Steam, Windows, Roku, etc.). When false, member_products is restricted to storefronts with app-intelligence coverage (iOS + Google Play). Ignored for product IDs.
Examples
af apps get ua_X7iNgb
af apps get 6938219
af explorer list-products
af explorer list-products [flags]
Read catalog fields for one app or many. Fields referenced by query or sort come back automatically; pass --extra-fields for more. Use ["match","product_id",<id>] for a single app, or combine filters for population queries (e.g. iOS apps using Firebase with $1M+ US revenue). The 120+ fields span ranks, ratings, download and revenue estimates, SDKs, demographics, and more; query grammar and field list in docs get catalog_playbook.
Options
--query array. Explorer query in JSON array format to select matching catalog Products. Missing values and [] match every Product across every storefront. The full field list and query syntax are documented in docs get catalog_playbook.
--extra-fields string[]. Additional fields to include. The full field list is documented in docs get catalog_playbook.
--sort string. Explorer field name. The full field list is documented in docs get catalog_playbook.
--order string, default desc. Sort direction.
--count integer, default 10. Number of results to return
--page integer, default 1. Page number.
--allow-unscoped-nested boolean, default false. Escape hatch for intentionally broad queries. Bypasses the default block on unscoped nested predicates that usually inflate results.
Examples
af explorer list-products --query='["and",["match","storefronts","apple:ios"],["nested","all_sdks",["and",["match","all_sdks.id","firebase"],["match","all_sdks.active",true]]]]'
af explorer list-products --query='["and",["match","storefronts","apple:ios"],["match","categories.all",6014]]' --sort='custom_meta[country=us].revenue_estimates_sum_30_days' --order=desc --count=25
af explorer list-products --query='["and",["match","storefronts","apple:ios"],["nested","custom_meta",["and",["match","custom_meta.country","us"],["match","custom_meta.revenue_estimates_sum_30_days",["number_range",100000,1000000]]]]]'
af explorer list-products --query='["and",["match","storefronts","apple:ios"],["match","categories.all",6014]]' --count=50 --page=2
af explorer list-products --query='["match","product_id",304004187384]' --extra-fields='custom_meta[country=zz].revenue_estimates_sum_365_days,all_sdks[id=firebase].active'
af explorer aggregate-products
af explorer aggregate-products <fields> [flags]
Aggregate across the full catalog of millions of products across Apple, Google Play, Amazon, and other major stores: counts, averages, min/max, and histograms over any set of matching products. Uses the same query grammar as explorer list-products; returns aggregates, not product records. For market sizing, benchmarking, and segment analysis.
Options
--query array. Explorer query in JSON array format to select matching catalog Products. Missing values and [] match every Product across every storefront. The full field list and query syntax are documented in docs get catalog_playbook.
<fields> required string[]. Field+aggregation pairs (e.g. all_rating/stats, storefronts/terms). Aggregations: stats, terms, histogram, date_histogram, cardinality. The full field list is documented in docs get catalog_playbook.
--allow-unscoped-nested boolean, default false. Escape hatch for intentionally broad queries. Bypasses the default block on unscoped nested predicates that usually inflate results.
--terms-count integer, default 20. Maximum buckets returned for each terms aggregation. Other aggregation types ignore it.
--date-histogram-interval string. Bucket granularity for each date_histogram aggregation. Other aggregation types ignore it.
Examples
af explorer aggregate-products 'custom_meta[country=jp].download_estimates_average_30_days/stats' --query='["and",["match","storefronts","apple:ios"],["match","countries","jp"]]'
af explorer aggregate-products all_rating/stats,categories.all/terms,developer_id/cardinality --query='["and",["match","storefronts","apple:ios"],["nested","custom_meta",["and",["match","custom_meta.revenue_estimates_sum_30_days",["number_range",100000,10000000]],["match","custom_meta.country","us"]]]]'
af explorer aggregate-products release_date/date_histogram --query='["and",["match","storefronts","apple:ios"],["match","categories.all",6014],["match","release_date",["range","2024-01-01","2025-12-31"]]]'
af explorer aggregate-products 'all_sdks[*].id/terms' --query='["nested","all_sdks",["and",["match","all_sdks.id","onesignal"],["match","all_sdks.active",true]]]'
af explorer aggregate-products all_rating/histogram --query='["match","storefronts","apple:ios"]'
af explorer aggregate-products storefronts/terms
af explorer describe-fields
af explorer describe-fields [flags]
List the catalog fields and the current user's access level for each. Same field set explorer list-products and explorer aggregate-products accept. Pass --q to search the catalog by keyword.
Options
--count integer, default 50. Number of results to return
--page integer, default 1. Page number.
--q string. Filter by path, title, description, type.
Examples
af explorer describe-fields --q=revenue
af explorer describe-fields
af metrics query
af metrics query <dataset> [flags]
Query any numeric dataset for one or more apps. Optionally grouped by up to two dimensions, returned as a nested partition tree, not app records. Independently filterable by country, device type, and date range. filterAppsBy* options narrow the app set (by ID, storefront, source, or type). Some datasets require app ownership; others work for any app (with the right plan).
Options
<dataset> required string. Dataset to query (e.g. sales.combined_downloads). The full list is documented in docs get numeric_metrics.
--group-by string[]. Dimensions to group by. Max 2: the first slot becomes the outer entity type, the second the inner series.
--granularity string. Time granularity when grouping by date
--count integer. Row cap. With --group-by, top N of the outer entity type by value (earliest N when grouping by date). Without --group-by, single-page preview.
--countries string[]. Filter to one or more ISO country codes (e.g. US, JP, GB)
--device-type string. Device type
--all-time boolean, default false. Opt in to the entire history. Without this flag (and without start/end), the query defaults to the last 30 days. Mutually exclusive with start and end.
--filter-apps-by-id (integer or string)[]. Only include data about specific apps, by product ID or unified app ID. Takes precedence over the other filterAppsBy* keys when set. Storefront, source, or type filters are better for app sets that can be described by those criteria.
--filter-apps-by-storefront string[]. Narrow the account's tracked apps to those on these storefronts (e.g. apple:ios, google_play).
--filter-apps-by-source string[]. Narrow the account's tracked apps by tracking relationship.
--filter-apps-by-type string[]. Narrow the account's tracked apps to products of these types.
--start string. Start date (YYYY-MM-DD)
--end string. End date (YYYY-MM-DD, defaults to today)
Examples
af metrics query sales.combined_downloads --filter-apps-by-source=own,shared
af metrics query sales.combined_revenue --filter-apps-by-source=own,shared --group-by=storefront
af metrics query estimates.revenue --filter-apps-by-source=manual --group-by=product --count=5
af metrics query estimates.sales --filter-apps-by-id=ua_V1Q1uX --group-by=date --granularity=daily
af metrics query subscriptions.mrr --filter-apps-by-source=own,shared --group-by=product,date --granularity=monthly
af metrics query ratings.new_total --filter-apps-by-id=ua_X7iNgb
af metrics query adspend.cost --filter-apps-by-source=own,shared --group-by=date --granularity=daily
af metrics query estimates.sales --filter-apps-by-id=ua_V1Q1uX --countries=US,JP,GB --group-by=country --start=2025-12-01 --end=2025-12-31
af metrics query sales.combined_revenue --filter-apps-by-source=own,shared --group-by=date --granularity=monthly --all-time
af metrics query reviews.total --filter-apps-by-id=ua_X7iNgb --group-by=country
af store app-ranks
af store app-ranks <app-ids> [flags]
Trace rank history for one or more apps across countries, device types, category subtypes, and categories, as time-series positions with day-over-day deltas.
Options
<app-ids> required (integer or string)[]. App identifiers (unified app IDs or product IDs)
--countries string[]. Country codes to query. Defaults to every country with rank coverage.
--granularity string, default hourly. Sampling rate. Hourly gives the freshest data; pass --granularity=daily for compact multi-day history.
--device-types string[], default ["handheld"]. Filter response rows by device type.
--subtypes string[], default ["free"]. Filter response rows by category subtype.
--category-ids integer[]. Filter response rows by category ID.
--start string. Start date (YYYY-MM-DD)
--end string. End date (YYYY-MM-DD, defaults to today)
--count integer, default 10. Number of results to return
--page integer, default 1. Page number.
Examples
af store app-ranks ua_miTXv6 --countries=US
af store app-ranks 336744124021 --countries=US
af store app-ranks ua_miTXv6 --countries=US,GB,JP
af store app-ranks ua_CxA1MS --subtypes=paid --device-types=tablet --countries=US
af store app-ranks ua_miTXv6 --granularity=daily --start=2026-05-01 --end=2026-05-31 --countries=US
af store app-ranks 336744124021 --category-ids=6007 --countries=US
af store top-charts
af store top-charts [flags]
List the top apps in a category chart for a given country and category, with current positions and day-over-day deltas.
Options
--country required string. ISO country code (e.g. US, JP, GB)
--category-id required integer. Store category ID
--subtype string, default free. Category subtype (chart variant within the category).
--date string. Snapshot date (YYYY-MM-DD, defaults to current).
--count integer, default 10. Number of results to return
--page integer, default 1. Page number.
Examples
af store categories --q=games
af store top-charts --country=US --category-id=6014
af store top-charts --country=US --category-id=25204 --subtype=paid
af store top-charts --country=JP --category-id=25204
af store top-charts --country=US --category-id=100
af store top-charts --country=US --category-id=25204 --date=2026-05-01
af store categories
af store categories [flags]
List every store category with its ID. Numeric category IDs required by store app-ranks --category-ids and store top-charts --category-id are available here.
Options
--count integer, default 50. Number of results to return
--page integer, default 1. Page number.
--q string. Filter by name.
--sort-by string. Sort order. Default: relevance when q is set, otherwise list order.
--id integer[]. Only return these category IDs.
--parent-id integer. Only include subcategories of this parent category (drill-down by id).
--storefront string[]. Only include categories from these storefronts (e.g. apple:ios, google_play).
--device-type string[]. Only include categories for these device types (e.g. handheld, tablet).
--all boolean, default false. Include non-rank stores (roku, vizio, etc.). These have categories but no rank data.
Examples
af store categories --q=games
af store categories --storefront=apple:ios
af store categories --parent-id=6014
af store categories --all
af store featured
af store featured <app-id> [flags]
List featured and editorial placements for an app or storefront product. Pass --count=0 for summary stats only.
Options
<app-id> required integer or string. App identifier. Unified app ID or product ID.
--countries string[]. Countries to include. Pass multiple countries to compare markets; omit when using --all-countries.
--all-countries boolean, default false. Include every country by omitting the --countries filter.
--include-rank-trend boolean, default false. Include per-interval rank_trend for each placement.
--sort string, default relevance. Sort placements by relevance or date.
--order string, default desc. Sort direction.
--start string. Start date (YYYY-MM-DD)
--end string. End date (YYYY-MM-DD, defaults to today)
--count integer, default 10. Number of results to return
--page integer, default 1. Page number.
Examples
af store featured ua_X7iNgb
af store featured 10157213
af store featured ua_X7iNgb --countries=US,GB,JP
af store featured ua_X7iNgb --start=2025-12-01 --end=2025-12-31
af store featured ua_X7iNgb --include-rank-trend
af store featured ua_X7iNgb --sort=date --order=desc
af store featured ua_X7iNgb --count=0
af store app-listing
af store app-listing <product-id> [flags]
Read the full store listing for one storefront: localized text (name, subtitle, description, release notes) plus screenshots, video, categories, monetization, supported devices, country availability, price, file size, and age rating. Takes a numeric product ID (one storefront at a time; a unified app has one product per storefront). One locale per request.
Options
<product-id> required integer. Numeric product ID for one storefront. Not a unified app ID. Member product_id values are available from apps get '<unified-app-id>'.
--language string. Locale (e.g. en, ja, zh-Hans) for name, subtitle, description, release notes, and screenshots. Defaults to en; falls back to the first available locale when the requested one has no metadata. The response echoes the resolved language.
--device-type string, default handheld. Relevant to Apple apps. Pick handheld for iPhone-specific metadata, tablet for iPad, desktop for Mac, etc.
Examples
af store app-listing 10157213
af store app-listing 10157213 --language=ja
af store app-listing 10157213 --device-type=tablet
af reviews list
af reviews list [flags]
Read individual reviews for one or more apps. Returns review text, star rating, country, and app version. Filterable by star rating, date range, country, version, and tracking relationship.
Options
--stars number[]. Filter by star rating.
--versions string[]. Filter by app version. Pass multiple to combine.
--countries string[]. Filter to one or more ISO country codes (e.g. US, JP, GB).
--q string. Search review title and body. Pass multiple keywords to match any. Case-insensitive; combines with other filters.
--sort string. Sort by review date or star rating.
--order string, default desc. Sort direction.
--filter-apps-by-id (integer or string)[]. Only include data about specific apps, by product ID or unified app ID. Takes precedence over the other filterAppsBy* keys when set. Storefront, source, or type filters are better for app sets that can be described by those criteria.
--filter-apps-by-storefront string[]. Narrow the account's tracked apps to those on these storefronts (e.g. apple:ios, google_play).
--filter-apps-by-source string[]. Narrow the account's tracked apps by tracking relationship.
--filter-apps-by-type string[]. Narrow the account's tracked apps to products of these types.
--start string. Start date (YYYY-MM-DD)
--end string. End date (YYYY-MM-DD, defaults to today)
--count integer, default 10. Number of results to return
--page integer, default 1. Page number. 1-500.
Examples
af reviews list --filter-apps-by-id=ua_X7iNgb
af reviews list --filter-apps-by-id=ua_X7iNgb --stars=5
af reviews list --filter-apps-by-id=ua_X7iNgb --countries=US,JP,GB
af reviews list --filter-apps-by-id=ua_X7iNgb --start=2025-12-01 --end=2025-12-31
af reviews list --filter-apps-by-source=own --count=50 --page=2
af reviews breakdown
af reviews breakdown [flags]
Aggregate review counts for one or more apps, bucketed by dimension. Returns one count per dimension value, plus a global total across the matched set.
Options
--stars number[]. Filter by star rating.
--versions string[]. Filter by app version. Pass multiple to combine.
--countries string[]. Filter to one or more ISO country codes (e.g. US, JP, GB).
--q string. Search review title and body. Pass multiple keywords to match any. Case-insensitive; combines with other filters.
--filter-apps-by-id (integer or string)[]. Only include data about specific apps, by product ID or unified app ID. Takes precedence over the other filterAppsBy* keys when set. Storefront, source, or type filters are better for app sets that can be described by those criteria.
--filter-apps-by-storefront string[]. Narrow the account's tracked apps to those on these storefronts (e.g. apple:ios, google_play).
--filter-apps-by-source string[]. Narrow the account's tracked apps by tracking relationship.
--filter-apps-by-type string[]. Narrow the account's tracked apps to products of these types.
--start string. Start date (YYYY-MM-DD)
--end string. End date (YYYY-MM-DD, defaults to today)
--by string[]. Limit the response to these dimensions; omit to return all.
--top integer, default 20. Maximum values returned per dimension; the rest are summed under __other__.
Examples
af reviews breakdown --filter-apps-by-id=ua_X7iNgb
af reviews breakdown --filter-apps-by-id=ua_X7iNgb --stars=5
af reviews breakdown --filter-apps-by-id=ua_X7iNgb --stars=5 --start=2025-12-01 --end=2025-12-31
af reviews breakdown --filter-apps-by-id=ua_X7iNgb --q='love amazing fun great best'
af reviews breakdown --filter-apps-by-source=own
af reviews reply
af reviews reply <review-id> [flags]
Post or withdraw a developer response on a specific review. Pass content to post; pass delete: true to withdraw a previously-posted response. Returns the resulting state (published/pending for a post, removed/removal_pending for a withdrawal) along with the submitting account.
Options
<review-id> required string. Review to act on. Use review_id from reviews list.
--content string. Response text the developer wants to publish.
--delete boolean. Withdraw the previously-posted response on this review. Mutually exclusive with content.
Examples
af reviews reply rev123 --content='We just shipped a fix in v2.1. Let us know if you still see this.'
af reviews reply rev123 --delete
af keywords list
af keywords list [flags]
List tracked keywords with their opaque IDs.
Options
--count integer, default 10. Number of results to return
--page integer, default 1. Page number.
--q string. Filter by keyword_term.
--sort-by string. Sort order. Default: relevance when q is set, otherwise list order.
--include-relationships boolean, default false. Include per-(product, country) tracking detail and sync state on each row. Off by default; adds a nested block per tracked (product, country) pair.
Examples
af keywords list
af keywords list --q=fitness
af keywords list --sort-by=-added_on
af keywords list --include-relationships
af keywords rankings
af keywords rankings [flags]
Check the organic keywords one or more apps rank for, with position, popularity, and competitiveness.
Options
--product-ids integer[]. Product identifiers (numeric, one storefront each).
--country required string. ISO country code (e.g. US, JP, GB)
--device-type string. Device type
--count integer, default 10. Number of results to return (min 10).
--page integer, default 1. Page number.
Examples
af keywords rankings --product-ids=336744124021 --country=US
af keywords rankings --product-ids=336744124021 --country=US --device-type=tablet
af keywords rankings --product-ids=336744124021,337217072531 --country=US
af sdks list
af sdks list [flags]
List every known SDK with its id, or search to find a specific one.
Options
--count integer, default 50. Number of results to return
--page integer, default 1. Page number.
--q string. Filter by name, description, tags.
--sort-by string. Sort order. Default: relevance when q is set, otherwise list order.
--id string[]. Only return these SDK ids.
--include-inactive boolean, default false. Include inactive SDKs. Rare; most callers want active only.
Examples
af sdks list --q=OneSignal
af sdks list --q=analytics
af sdks list --id=firebase,admob,onesignal
af sdks list --include-inactive
af docs get
af docs get <slug>
Return a reference doc or guide by slug.
Options
<slug> required string. Which reference to return
Examples
af docs get numeric_metrics
af docs get catalog_playbook
af docs get glossary
af api
af api <path> [flags]
Make a raw API request for endpoints without a dedicated command. Endpoints, parameters, and response shapes are documented at https://docs.appfigures.com.
Options
<path> required string. API path (e.g. /users, /products)
--method string, default GET. HTTP method (one of: GET, POST, PUT, PATCH, DELETE, HEAD, OPTIONS)
--body string. Request body (JSON string)
af mcp
af mcp
Run an MCP server over stdio for MCP clients like Claude Desktop and Cursor to call Appfigures tools.
af auth login
af auth login [flags]
Sign in to Appfigures
Prints a URL to authorize this CLI. Open it, approve access, then re-run with --code <code> using the code shown after approval. Pass --interactive to sign in through a guided browser flow instead.
For unattended use (CI, scripts), set APPFIGURES_API_KEY in the environment instead. No browser flow needed.
Options
--code string. Authorization code from the OAuth consent page. Second step of af auth login: exchanges the code, saves the token, exits.
--interactive boolean. Sign in through a guided browser flow.
af auth logout
af auth logout
Remove stored credentials
af auth status
af auth status
Show authentication and account status
Support
Contributing
This package is developed in a private monorepo and published here as a mirror. To report bugs or request features, open an issue.
We're also hiring AI-native devs. If you want to help build the future of AI App Intelligence apply at appfigures.com/careers.
License
Apache 2.0