{ "openapi": "3.0.1", "info": { "title": "U.S. Ghost Kitchen & Virtual Brand Detector", "description": "Review likely delivery-only competition in one U.S. market or a bounded batch of U.S. markets. Inspect public delivery-platform evidence, optional Yelp storefront context, per-location billing status, and coverage notes for partial, failed, skipped, duplicate, or inconclusive sources.", "version": "0.3", "x-build-id": "K0JmJAdeuiCjVUWUc" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/critd~ghost-kitchen-detector/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-critd-ghost-kitchen-detector", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/critd~ghost-kitchen-detector/runs": { "post": { "operationId": "runs-sync-critd-ghost-kitchen-detector", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/critd~ghost-kitchen-detector/run-sync": { "post": { "operationId": "run-sync-critd-ghost-kitchen-detector", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "location": { "title": "Location", "type": "string", "description": "Single-market input. Use this field for one U.S. city and state, ZIP code, or street address. For batch input, leave this empty and use Locations instead." }, "locations": { "title": "Locations", "minItems": 1, "maxItems": 50, "type": "array", "description": "Batch input. Provide location objects only when Location is empty. Up to 50 requested rows are accepted, with at most 25 unique location and scan-parameter fingerprints; exact duplicates remain visible as aliases instead of separate charge candidates. Agents should start with a small batch and read OUTPUT locations before scaling the request.", "items": { "type": "object", "additionalProperties": false, "required": [ "location" ], "properties": { "location": { "title": "Location", "type": "string", "description": "The U.S. city and state, ZIP code, or street address for this market request.", "editor": "textfield", "minLength": 1 }, "radiusMiles": { "title": "Search Radius (miles)", "type": "integer", "description": "Optional per-location override for search radius. Range: 1 to 25.", "minimum": 1, "maximum": 25, "editor": "number" }, "cuisineFilter": { "title": "Cuisine Filter", "type": "string", "description": "Optional per-location cuisine segment override, such as 'pizza' or 'wings'.", "editor": "textfield", "nullable": true }, "maxRestaurants": { "title": "Maximum Restaurants to Analyze", "type": "integer", "description": "Optional per-location override for the maximum number of deduplicated candidates to review. Range: 10 to 1000.", "minimum": 10, "maximum": 1000, "editor": "number" }, "confidenceThreshold": { "title": "Minimum Evidence Score", "type": "number", "description": "Optional per-location evidence-score threshold. Range: 0.0 to 1.0.", "minimum": 0, "maximum": 1, "editor": "number" }, "includeTraditionalRestaurants": { "title": "Include Traditional and Unknown Results", "type": "boolean", "description": "Optional per-location override for including traditional or unknown classifications.", "editor": "checkbox" } } } }, "radiusMiles": { "title": "Search Radius (miles)", "minimum": 1, "maximum": 25, "type": "integer", "description": "How far around the point to search. Range: 1 to 25. If a source supplies distance data, listings outside the radius are removed. If it does not, the Actor keeps the candidate and records that limit in the run diagnostics.", "default": 5 }, "cuisineFilter": { "title": "Cuisine Filter (optional)", "type": "string", "description": "Restrict the scan to one category, such as 'pizza' or 'wings', when you want a more focused segment view." }, "maxRestaurants": { "title": "Maximum Restaurants to Analyze", "minimum": 10, "maximum": 1000, "type": "integer", "description": "Maximum number of deduplicated candidates to review in depth. Range: 10 to 1000. Use a higher number to inspect more candidates when sources return enough data.", "default": 200 }, "confidenceThreshold": { "title": "Minimum Evidence Score", "minimum": 0, "maximum": 1, "type": "number", "description": "Minimum evidence-strength score required for a result to be included. Range: 0.0 to 1.0. Higher values are more conservative. Lower values surface more borderline or inconclusive cases. This is not a verified accuracy score.", "default": 0.5 }, "includeTraditionalRestaurants": { "title": "Include Traditional and Unknown Results", "type": "boolean", "description": "Include results classified as 'traditional' or 'unknown', not just likely ghost kitchens and virtual brands. Use this when you want a broader candidate map, including inconclusive rows.", "default": false }, "batchConcurrency": { "title": "Batch Concurrency", "minimum": 1, "maximum": 3, "type": "integer", "description": "Maximum number of unique market scans to run at the same time for batch inputs. Charges remain serialized, and dataset rows, OUTPUT locations, and checkpoints remain deterministic. Keep this at 1 for first agent/API runs until OUTPUT sourceHealth and charge states are understood. Range: 1 to 3.", "default": 1 }, "yelpApiKey": { "title": "Yelp API Key", "type": "string", "description": "Optional Yelp Fusion API key for extra storefront context signals such as ratings, review counts, photos, and website presence. Yelp enrichment is unaffiliated and does not prove storefront status." } } }, "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 } } } } } } } } } }