Buyer Fit Brief API - ICP Scoring for Lead Datasets

Score Apify lead datasets against your ideal customer profile and return ranked buyer-fit briefs, not a black-box "AI lead score."

This Actor consumes inline JSON records or an Apify dataset ID and emits one buyer-fit row per company or lead. Each row includes a 0-100 score, fit tier, confidence, matched signals, disqualification flags, likely pain points, outreach angle, and suggested next step.

✅ What you get / ❌ what this isn't

This Actor gives you	This Actor is not
ICP fit scores with auditable reasons	Not a scraper
Ranked lead rows for CRM prioritization	Not a generic sales agent
Matched signals and disqualification flags	Not an opaque LLM-only score
Outreach angles grounded in the input data	Not a replacement for human qualification

⚙️ How to score lead datasets

• Prioritize scraped lead lists before CRM import.
• Score output from Lead List Deduplicator, Website Contact Extractor, Google Maps lead scrapers, directories, event lists, or CSV exports.
• Keep scoring cheap and predictable with deterministic rules in v1.
• See why a lead scored high or low before spending enrichment or outreach credits.

📥 Input

{
  "datasetId": "optional-apify-dataset-id",
  "icpDescription": "B2B SaaS or logistics companies in the United States with manual data workflows.",
  "productDescription": "A data automation API that turns messy public data into workflow-ready records.",
  "positiveKeywords": ["b2b", "saas", "logistics", "automation"],
  "negativeKeywords": ["student", "consumer blog", "hobby"],
  "targetIndustries": ["software", "logistics", "ecommerce"],
  "targetCountries": ["United States", "Canada"],
  "minEmployeeCount": 10,
  "maxEmployeeCount": 1000
}

You can also paste records directly for quick tests.

📤 Output

{
  "recordType": "buyerFitBrief",
  "sourceRowId": "sample-1",
  "companyName": "Northstar Logistics",
  "domain": "northstarlogistics.example",
  "industry": "freight and logistics",
  "country": "United States",
  "employeeCount": 85,
  "fitScore": 92,
  "fitTier": "high",
  "confidence": 0.95,
  "matchedSignals": ["has_domain", "positive_keyword:logistics"],
  "disqualificationFlags": [],
  "fitRationale": "HIGH fit (92/100) based on has_company_name, has_domain...",
  "likelyPainPoints": ["manual workflow cleanup"],
  "outreachAngle": "Lead with manual workflow cleanup at Northstar Logistics...",
  "suggestedNextStep": "Prioritize for personalized outreach or enrichment before CRM import."
}

📊 Dataset views

View	Best for
Ranked leads	Prioritized CRM or outreach list
Buyer-fit briefs	Rationale, pain points, and suggested next step
Low-fit or disqualified	Rows to hold out or review manually

💵 How much does it cost?

This Actor is priced per scored lead row. The default listing price is $2.00 per 1,000 scored rows, with lower per-row pricing for higher Apify usage tiers.

⚠️ Limits and caveats

• v1 uses deterministic scoring, not paid LLM adjudication.
• Scores depend on the fields present in your input. Sparse records get lower confidence.
• The Actor does not scrape, enrich missing websites, or verify emails.
• Treat the output as a prioritization layer, not a compliance or credit decision.

🛠️ Related workflow

1. Scrape leads.
2. Clean them with Lead List Deduplicator.
3. Score them here against your ICP.
4. Enrich or contact the highest-fit rows first.