{ "openapi": "3.0.1", "info": { "title": "ICP & Account Lead Scoring: Fit Scorer 0-100 for Clay", "description": "Scores pre-enriched companies against your Ideal Customer Profile using weighted signals. Returns a 0 to 100 fit score, A to D tier, and per-signal breakdown. Deterministic and LLM modes. Built for Clay enrichment and batch processing. 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Alternative to icp_description. Required if icp_description is not provided. Takes precedence over template if both are provided. weights must sum to exactly 100. Optional sibling keys tune the data-driven signals: target_employee_bands, revenue_range, min_gtm_roles, min_total_followers, min_social_platforms, min_job_count, min_keyword_matches, min_funding_amount, headcount_range, target_industries." }, "template": { "title": "Scoring Template", "enum": [ "full_signal", "saas_outbound", "b2b_services", "fintech", "smb_local", "enterprise" ], "type": "string", "description": "Pre-built scoring config. Used when scoring_config is not provided. full_signal scores every fleet source; the others are role-specific presets. Options: full_signal, saas_outbound, b2b_services, fintech, smb_local, enterprise." }, "tier_thresholds": { "title": "Tier Thresholds", "type": "object", "description": "Optional. Minimum score for each tier as { \"tier_a\": number, \"tier_b\": number, \"tier_c\": number }. Scores at or above tier_a are A, tier_b are B, tier_c are C, else D. Defaults to 80 / 60 / 40." }, "funded_within_days": { "title": "Funded Within Days", "type": "integer", "description": "Optional. How recent a funding round must be to count for the recently_funded signal, in days. Defaults to 540 (18 months)." }, "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. All other signals are always supplied as input.", "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": "string", "description": "Whether the company is actively hiring for GTM/sales roles. Accepts a boolean-like string (\"true\"/\"false\"). Sent as a string for Clay compatibility and coerced to boolean at runtime." }, "gtm_role_count": { "title": "GTM Role Count", "type": "string", "description": "Number of open GTM/sales roles. Scores via the gtm_role_count_strong signal when at or above min_gtm_roles (default 2). Accepts a numeric string (e.g. \"8\"). Sent as a string for Clay compatibility and coerced to integer at runtime." }, "uses_hubspot": { "title": "Uses HubSpot", "type": "string", "description": "Whether the company uses HubSpot. Accepts a boolean-like string (\"true\"/\"false\"). Sent as a string for Clay compatibility and coerced to boolean at runtime." }, "uses_salesforce": { "title": "Uses Salesforce", "type": "string", "description": "Whether the company uses Salesforce. Accepts a boolean-like string (\"true\"/\"false\"). Sent as a string for Clay compatibility and coerced to boolean at runtime." }, "uses_clay": { "title": "Uses Clay", "type": "string", "description": "Whether the company uses Clay. Accepts a boolean-like string (\"true\"/\"false\"). Sent as a string for Clay compatibility and coerced to boolean at runtime." }, "crm_detected": { "title": "CRM Detected", "type": "string", "description": "Whether any CRM was detected. Accepts a boolean-like string (\"true\"/\"false\") or any non-empty CRM name (e.g. \"Salesforce\"). Sent as a string for Clay compatibility and coerced to boolean at runtime. Auto-derived from uses_hubspot/uses_salesforce if not set." }, "seq_tool_detected": { "title": "Sequencing Tool Detected", "type": "string", "description": "Whether a sales sequencing tool (Outreach, SalesLoft, Apollo, Lemlist) was detected. Accepts a boolean-like string (\"true\"/\"false\") or any non-empty tool name (e.g. \"Outreach\"). Sent as a string for Clay compatibility and coerced to boolean at runtime." }, "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": "string", "description": "Current employee headcount. Accepts a numeric string (e.g. \"3000\"). Sent as a string for Clay compatibility and coerced to integer at runtime." }, "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." }, "employee_band": { "title": "Employee Band", "type": "string", "description": "Firmographic employee band from the Company Firmographic Enricher (Actor ID YlUtLWjfPpqykmB8g), e.g. \"201-500\". Scores via employee_band_match when it is in target_employee_bands." }, "revenue_estimate": { "title": "Revenue Estimate", "type": "string", "description": "Estimated annual revenue in dollars from the Company Firmographic Enricher (Actor ID YlUtLWjfPpqykmB8g). Scores via revenue_in_range. Accepts a numeric string (e.g. \"50000000\"). Coerced to integer at runtime." }, "hq_location": { "title": "HQ Location", "type": "string", "description": "Headquarters location from the Company Firmographic Enricher (Actor ID YlUtLWjfPpqykmB8g). Carried for reference; not currently scored." }, "founded_year": { "title": "Founded Year", "type": "string", "description": "Year the company was founded, from the Company Firmographic Enricher (Actor ID YlUtLWjfPpqykmB8g). Carried for reference; not currently scored. Accepts a numeric string (e.g. \"2015\")." }, "recently_funded": { "title": "Recently Funded", "type": "boolean", "description": "Override: whether the company was recently funded (within funded_within_days, default 540)." }, "last_funding_date": { "title": "Last Funding Date", "type": "string", "description": "ISO date of last funding round (legacy field; latest_funding_date is preferred). Used to auto-detect recently_funded if the boolean is not set." }, "latest_funding_date": { "title": "Latest Funding Date", "type": "string", "description": "ISO date of the latest funding round (from C1 Funding & Press Signal Scanner when it ships). Drives recently_funded against funded_within_days." }, "latest_funding_amount": { "title": "Latest Funding Amount", "type": "string", "description": "Dollar amount of the latest funding round (from C1 when it ships). Scores via well_funded when at or above min_funding_amount (default 1000000). Accepts a numeric string (e.g. \"50000000\")." }, "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 (from the Company Firmographic Enricher, Actor ID YlUtLWjfPpqykmB8g)." }, "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." }, "social_platforms_found": { "title": "Social Platforms Found", "type": "string", "description": "Number of official social platforms found, from the Company Social Presence Mapper (Actor ID 4k6CCemkgBDz18m2h). Scores via social_presence when at or above min_social_platforms (default 2). Accepts a numeric string." }, "total_followers": { "title": "Total Followers", "type": "string", "description": "Total social followers across platforms, from the Company Social Presence Mapper (Actor ID 4k6CCemkgBDz18m2h). Scores via strong_social_following when at or above min_total_followers (default 1000). Accepts a numeric string." }, "has_linkedin": { "title": "Has LinkedIn", "type": "string", "description": "Whether a company LinkedIn page was found, from the Company Social Presence Mapper (Actor ID 4k6CCemkgBDz18m2h) or the Domain to LinkedIn URL Resolver (Actor ID 3HtnSaqPHOg1Qg5gx). Contributes to social_presence. Accepts a boolean-like string." }, "has_twitter": { "title": "Has Twitter / X", "type": "string", "description": "Whether a company X/Twitter profile was found, from the Company Social Presence Mapper (Actor ID 4k6CCemkgBDz18m2h). Contributes to social_presence. Accepts a boolean-like string." }, "job_count": { "title": "Job Count", "type": "string", "description": "Number of open jobs found, from the Job Board Keyword Signal Scanner (Actor ID 4DvqpvhMR74NLcDDY). Scores via active_hiring_volume when at or above min_job_count (default 3). Accepts a numeric string." }, "keyword_match_count": { "title": "Keyword Match Count", "type": "string", "description": "Number of target-keyword matches found, from the Job Board Keyword Signal Scanner (Actor ID 4DvqpvhMR74NLcDDY). Scores via keyword_signal_match when at or above min_keyword_matches (default 1). Accepts a numeric string." }, "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 } } } } } } } } } }