ICP Fit Scorer
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from $50.00 / 1,000 results
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.
Pricing
from $50.00 / 1,000 results
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Mamba Labs
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The primary domain of the company to score (e.g. clay.com).
JSON scoring weights config. Alternative to icp_description. Required if icp_description is not provided. Takes precedence over template if both are provided.
Pre-built scoring config. Used when scoring_config is not provided. Options: saas_outbound, b2b_services, fintech, smb_local, enterprise.
Apify dataset ID to fetch items from. Each item is processed as a lead to score. Works alongside or instead of inline JSON input.
URL of a CSV file to fetch and parse. Each row becomes a lead to score. Works alongside inline JSON or dataset_id.
If true, call mambalabs/gtm-hiring-signal-scraper and mambalabs/gtm-tech-stack-signal-scraper for each domain before scoring. Requires apify_token.
Apify API token for fetch_signals and dataset_id features. Falls back to APIFY_TOKEN env var.
If true, adds a score_explanation string to each output row describing what matched, missed, and point values.
If set, rows scoring below this threshold are skipped from output (not pushed to dataset). Skipped rows are logged only.
URL to POST each scored result to as JSON after pushing to dataset. Fire and forget.
Previous ICP score for this company. If provided, output includes score_change and score_trend fields.
Whether the company is actively hiring for GTM/sales roles.
Whether any CRM was detected. Auto-derived from uses_hubspot/uses_salesforce if not set.
Whether a sales sequencing tool (Outreach, SalesLoft, Apollo, Lemlist) was detected.
Comma-separated list of technologies. Used to auto-detect CRM/sequencing tools if booleans are not set.
Minimum headcount for the headcount_in_range signal.
Maximum headcount for the headcount_in_range signal.
Override: whether headcount is in your target range.
Override: whether the company was recently funded (within 18 months).
ISO date of last funding round. Used to auto-detect recently_funded if boolean is not set.
Funding stage (e.g. seed, series_a, series_b, growth). Used to infer recently_funded.
Override: whether the company's industry matches your target list.
Comma-separated list of target industries for the industry_match signal.
Describe your target ICP in plain English. Requires llm_api_key. Alternative to scoring_config for non-technical users.
Your OpenAI or Anthropic API key. Required when using icp_description mode. Transmitted to Apify infrastructure for the duration of the run only.
