Growthbook Experiments Tracker
Pricing
Pay per usage
Go to Apify Store
Growthbook Experiments Tracker
Pricing
Pay per usage
You can access the Growthbook Experiments Tracker programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.
{ "openapi": "3.0.1", "info": { "version": "0.0", "x-build-id": "ZQbH9WzxWcyVPD5MZ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/katzino96.original~growthbook-experiments-tracker/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-katzino96.original-growthbook-experiments-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/katzino96.original~growthbook-experiments-tracker/runs": { "post": { "operationId": "runs-sync-katzino96.original-growthbook-experiments-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/katzino96.original~growthbook-experiments-tracker/run-sync": { "post": { "operationId": "run-sync-katzino96.original-growthbook-experiments-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "growthbookToken" ], "properties": { "growthbookToken": { "title": "GrowthBook API token", "type": "string", "description": "Secret API key for the GrowthBook REST API (`secret_...`). Create one in GrowthBook under Settings → API Keys. The key is organization-scoped, so no org ID is needed." }, "tags": { "title": "Tags", "type": "array", "description": "Only include experiments having at least one of these GrowthBook tags. Leave empty to include all experiments.", "default": [], "items": { "type": "string" } }, "owner": { "title": "Owner", "type": "string", "description": "Only include experiments belonging to this owner (GrowthBook user ID or name/email for legacy records)." }, "projectId": { "title": "Project ID", "type": "string", "description": "Only include experiments from this GrowthBook project." }, "includeStaleDrafts": { "title": "Report stale drafts", "type": "boolean", "description": "Include draft experiments that were created long ago but never launched (see \"Stale draft age\").", "default": true }, "includeRecentlyStopped": { "title": "Report recently stopped experiments", "type": "boolean", "description": "Include experiments stopped within the lookback window (see \"Recently stopped lookback\"), flagging those stopped without a documented result.", "default": true }, "includeStagingOnly": { "title": "Report staging-only experiments", "type": "boolean", "description": "Include running experiments whose rule is not enabled in the production environment yet (still being tested on staging). Their production start date is tracked either way.", "default": true }, "maxRunningDays": { "title": "Max running days", "minimum": 1, "type": "integer", "description": "Flag running experiments whose current phase started more than this many days ago.", "default": 30 }, "staleDraftDays": { "title": "Stale draft age (days)", "minimum": 1, "type": "integer", "description": "Flag draft experiments created more than this many days ago.", "default": 30 }, "recentlyStoppedDays": { "title": "Recently stopped lookback (days)", "minimum": 1, "type": "integer", "description": "How far back to look for stopped experiments.", "default": 14 }, "maxExposedUsers": { "title": "Max exposed users", "minimum": 1, "type": "integer", "description": "Flag running experiments that have exposed more users than this (every exposure is a billed analytics event).", "default": 100000 }, "slackToken": { "title": "Slack token", "type": "string", "description": "Slack bot token (`xoxb-...`) used to post the report." }, "slackChannel": { "title": "Slack channel", "type": "string", "description": "Channel to post the report to — channel ID (`C0123456789`) or `#channel-name`. The bot must be a member of the channel." } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } }}OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.
OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.
By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.
You can download the OpenAPI definitions for Growthbook Experiments Tracker from the options below:
If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.
You can also check out our other API clients: