{ "openapi": "3.0.1", "info": { "title": "TikTok Influencer Audit & Rate Calculator", "description": "Screen TikTok creators using explainable quality, engagement, consistency, and risk signals, then estimate a transparent sponsored-video rate from recent public performance.", "version": "0.1", "x-build-id": "PnPI9bpcev63ozatt" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/funny_ground~tiktok-influencer-audit/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-funny_ground-tiktok-influencer-audit", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/funny_ground~tiktok-influencer-audit/runs": { "post": { "operationId": "runs-sync-funny_ground-tiktok-influencer-audit", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/funny_ground~tiktok-influencer-audit/run-sync": { "post": { "operationId": "run-sync-funny_ground-tiktok-influencer-audit", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "mode": { "title": "Run mode", "enum": [ "collectAndAnalyze", "analysisOnly" ], "type": "string", "description": "Collect mode calls the owned TikTok creator-video Actor. Analysis-only mode reuses existing Apify datasets and starts no scraper.", "default": "collectAndAnalyze" }, "creators": { "title": "TikTok creators", "minItems": 1, "maxItems": 20, "uniqueItems": true, "type": "array", "description": "Usernames, @handles, or TikTok profile URLs. Required in collect mode. In analysis-only mode, creators can be inferred from video rows.", "items": { "type": "string" } }, "videoDatasetIds": { "title": "Existing video Dataset IDs", "uniqueItems": true, "type": "array", "description": "Used in analysis-only mode. Each dataset may contain one or many creators from funny_ground/tiktok-creator-videos or a compatible schema.", "default": [], "items": { "type": "string" } }, "profileDatasetIds": { "title": "Optional profile Dataset IDs", "uniqueItems": true, "type": "array", "description": "Optional datasets from funny_ground/tiktok-influencer-finder. Public profile stats are also resolved directly when possible.", "default": [], "items": { "type": "string" } }, "commentDatasetIds": { "title": "Optional comment Dataset IDs", "uniqueItems": true, "type": "array", "description": "Optional existing datasets from funny_ground/tiktok-comments-scraper. Reusing them adds comment-quality signals without a new scrape.", "default": [], "items": { "type": "string" } }, "audienceDatasetIds": { "title": "Optional audience Dataset IDs", "uniqueItems": true, "type": "array", "description": "Optional existing follower-profile datasets. The Actor never requests a TikTok login cookie.", "default": [], "items": { "type": "string" } }, "depth": { "title": "Audit depth", "enum": [ "quick", "standard", "deep" ], "type": "string", "description": "Quick uses profile and video data only. Standard additionally collects a small comment sample. Deep only uses audience datasets you explicitly provide.", "default": "quick" }, "maxVideos": { "title": "Videos per creator", "minimum": 5, "maximum": 100, "type": "integer", "description": "Maximum recent videos collected and analyzed per creator. Twenty to thirty is normally enough for a robust median.", "default": 30 }, "analysisWindowDays": { "title": "Analysis window in days", "minimum": 30, "maximum": 730, "type": "integer", "description": "Prefer videos published within this many days. Older videos are used only when fewer than five recent valid videos exist.", "default": 180 }, "maxCommentVideos": { "title": "Videos sampled for comments", "minimum": 1, "maximum": 5, "type": "integer", "description": "Standard mode samples representative videos, not every video.", "default": 2 }, "commentsPerVideo": { "title": "Comments per sampled video", "minimum": 10, "maximum": 300, "type": "integer", "description": "A small sample controls cost. Replies are not collected.", "default": 50 }, "brandKeywords": { "title": "Brand-fit keywords", "uniqueItems": true, "type": "array", "description": "Optional niche, product, brand, or campaign keywords. When omitted, brand-fit scoring is marked unavailable rather than guessed.", "default": [], "items": { "type": "string" } }, "market": { "title": "Target market", "type": "string", "description": "Displayed as a pricing assumption. The initial model does not infer private audience demographics.", "default": "GLOBAL" }, "niche": { "title": "Creator niche", "type": "string", "description": "Displayed as a pricing assumption. The initial model applies no hidden niche premium.", "default": "general" }, "cpmLowUsd": { "title": "Low CPM benchmark (USD)", "minimum": 0.1, "maximum": 500, "type": "number", "description": "Override the low performance benchmark. Defaults to $5 per 1,000 expected views." }, "cpmRecommendedUsd": { "title": "Recommended CPM benchmark (USD)", "minimum": 0.1, "maximum": 500, "type": "number", "description": "Override the central benchmark. Defaults to $10 per 1,000 expected views." }, "cpmHighUsd": { "title": "High CPM benchmark (USD)", "minimum": 0.1, "maximum": 500, "type": "number", "description": "Override the high benchmark. Defaults to $15 per 1,000 expected views." }, "minimumCreatorFeeUsd": { "title": "Minimum creator fee (USD)", "minimum": 0, "maximum": 100000, "type": "number", "description": "Production floor applied before optional rights. Set 0 to disable.", "default": 50 }, "productionFeeUsd": { "title": "Additional production fee (USD)", "minimum": 0, "maximum": 100000, "type": "number", "description": "Optional fixed creative-production cost added to each estimate.", "default": 0 }, "usageRightsDays": { "title": "Paid usage rights (days)", "minimum": 0, "maximum": 730, "type": "integer", "description": "Optional paid-media/content usage duration. 0 means organic post only.", "default": 0 }, "sparkAdsDays": { "title": "Spark Ads authorization (days)", "minimum": 0, "maximum": 730, "type": "integer", "description": "Optional Spark Ads authorization duration.", "default": 0 }, "exclusivityDays": { "title": "Category exclusivity (days)", "minimum": 0, "maximum": 365, "type": "integer", "description": "Optional period during which the creator cannot promote competing brands.", "default": 0 }, "maxConcurrency": { "title": "Max creator concurrency", "minimum": 1, "maximum": 5, "type": "integer", "description": "Bounds lightweight profile requests and child-Actor concurrency.", "default": 2 }, "requestTimeoutSecs": { "title": "Profile request timeout", "minimum": 10, "maximum": 60, "type": "integer", "description": "Timeout for each lightweight public profile metadata request.", "default": 20 } } }, "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 } } } } } } } } } }