{ "openapi": "3.0.1", "info": { "title": "ICP Fit Scorer", "description": "Score companies against your ICP using weighted signals and pre-built templates. Returns icp_score 0-100, icp_tier A-D, per-signal breakdown, and plain-English explanation. Flat Clay-ready output.", "version": "1.1", "x-build-id": "XgBEdiQsMNHKsMWg1" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/mambalabs~icp-fit-scorer/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-mambalabs-icp-fit-scorer", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/mambalabs~icp-fit-scorer/runs": { "post": { "operationId": "runs-sync-mambalabs-icp-fit-scorer", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/mambalabs~icp-fit-scorer/run-sync": { "post": { "operationId": "run-sync-mambalabs-icp-fit-scorer", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "company_domain" ], "properties": { "company_domain": { "title": "Company Domain", "type": "string", "description": "The primary domain of the company to score (e.g. clay.com)." }, "company_name": { "title": "Company Name", "type": "string", "description": "Optional display name of the company." }, "scoring_config": { "title": "Scoring Config", "type": "object", "description": "JSON scoring weights config. Alternative to icp_description. Required if icp_description is not provided. Takes precedence over template if both are provided." }, "template": { "title": "Scoring Template", "enum": [ "saas_outbound", "b2b_services", "fintech", "smb_local", "enterprise" ], "type": "string", "description": "Pre-built scoring config. Used when scoring_config is not provided. Options: saas_outbound, b2b_services, fintech, smb_local, enterprise." }, "dataset_id": { "title": "Dataset ID", "type": "string", "description": "Apify dataset ID to fetch items from. Each item is processed as a lead to score. Works alongside or instead of inline JSON input." }, "csv_url": { "title": "CSV URL", "type": "string", "description": "URL of a CSV file to fetch and parse. Each row becomes a lead to score. Works alongside inline JSON or dataset_id." }, "fetch_signals": { "title": "Fetch Signals", "type": "boolean", "description": "If true, call mambalabs/gtm-hiring-signal-scraper and mambalabs/gtm-tech-stack-signal-scraper for each domain before scoring. Requires apify_token.", "default": false }, "apify_token": { "title": "Apify Token", "type": "string", "description": "Apify API token for fetch_signals and dataset_id features. Falls back to APIFY_TOKEN env var." }, "include_explanation": { "title": "Include Explanation", "type": "boolean", "description": "If true, adds a score_explanation string to each output row describing what matched, missed, and point values.", "default": false }, "min_score_to_output": { "title": "Min Score to Output", "type": "integer", "description": "If set, rows scoring below this threshold are skipped from output (not pushed to dataset). Skipped rows are logged only." }, "webhook_url": { "title": "Webhook URL", "type": "string", "description": "URL to POST each scored result to as JSON after pushing to dataset. Fire and forget." }, "previous_score": { "title": "Previous Score", "type": "integer", "description": "Previous ICP score for this company. If provided, output includes score_change and score_trend fields." }, "gtm_hiring_signal": { "title": "GTM Hiring Signal", "type": "boolean", "description": "Whether the company is actively hiring for GTM/sales roles." }, "uses_hubspot": { "title": "Uses HubSpot", "type": "boolean", "description": "Whether the company uses HubSpot." }, "uses_salesforce": { "title": "Uses Salesforce", "type": "boolean", "description": "Whether the company uses Salesforce." }, "uses_clay": { "title": "Uses Clay", "type": "boolean", "description": "Whether the company uses Clay." }, "crm_detected": { "title": "CRM Detected", "type": "boolean", "description": "Whether any CRM was detected. Auto-derived from uses_hubspot/uses_salesforce if not set." }, "seq_tool_detected": { "title": "Sequencing Tool Detected", "type": "boolean", "description": "Whether a sales sequencing tool (Outreach, SalesLoft, Apollo, Lemlist) was detected." }, "tech_stack": { "title": "Tech Stack", "type": "string", "description": "Comma-separated list of technologies. Used to auto-detect CRM/sequencing tools if booleans are not set." }, "headcount": { "title": "Headcount", "type": "integer", "description": "Current employee headcount." }, "headcount_min": { "title": "Headcount Min", "type": "integer", "description": "Minimum headcount for the headcount_in_range signal." }, "headcount_max": { "title": "Headcount Max", "type": "integer", "description": "Maximum headcount for the headcount_in_range signal." }, "headcount_in_range": { "title": "Headcount In Range", "type": "boolean", "description": "Override: whether headcount is in your target range." }, "recently_funded": { "title": "Recently Funded", "type": "boolean", "description": "Override: whether the company was recently funded (within 18 months)." }, "last_funding_date": { "title": "Last Funding Date", "type": "string", "description": "ISO date of last funding round. Used to auto-detect recently_funded if boolean is not set." }, "funding_stage": { "title": "Funding Stage", "type": "string", "description": "Funding stage (e.g. seed, series_a, series_b, growth). Used to infer recently_funded." }, "industry": { "title": "Industry", "type": "string", "description": "The company's industry." }, "industry_match": { "title": "Industry Match", "type": "boolean", "description": "Override: whether the company's industry matches your target list." }, "target_industries": { "title": "Target Industries", "type": "string", "description": "Comma-separated list of target industries for the industry_match signal." }, "icp_description": { "title": "ICP Description", "type": "string", "description": "Describe your target ICP in plain English. Requires llm_api_key. Alternative to scoring_config for non-technical users." }, "llm_api_key": { "title": "LLM API Key", "type": "string", "description": "Your OpenAI or Anthropic API key. Required when using icp_description mode. Transmitted to Apify infrastructure for the duration of the run only." }, "llm_provider": { "title": "LLM Provider", "enum": [ "openai", "anthropic" ], "type": "string", "description": "Which LLM provider to use when generating a scoring config from icp_description. Accepts openai (GPT-4o-mini) or anthropic (claude-haiku-4-5-20251001). Ignored if scoring_config is provided directly.", "default": "openai" } } }, "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 } } } } } } } } } }