tam-scoring
Installation
SKILL.md
TAM Scoring
Assign every company a numeric score from observable signals, then bucket into tiers. ColdIQ models run 80–100 points across 4–6 signal groups. The math is local; this skill notes which ColdIQ endpoint provides each scored data point so the model runs on fresh data.
ColdIQ Marketplace Endpoints (data sources for scored fields)
| Scored data point | Method | Path | Credits | Endpoint ID | Notes |
|---|---|---|---|---|---|
| Firmographics (size, revenue, industry, funding) | POST | /v1/limadata/enrich/company |
1 | limadata.enrich.company |
One call for most groups |
| Large-scale company list | POST | /v1/ai-ark/companies |
per result | ai_ark.companies.search |
Build the list to score |
| Tech-stack signal | POST | /v1/builtwith/domain |
flat | builtwith.domain |
Complexity/specialization group |
| Funding / PE backing | GET | /v1/signalbase/funding-signals |
unknown | signalbase.funding_signals |
Ownership/bonus groups |
Score from enriched data — don't pay to enrich rows you'll DQ. Filter obvious DQs first, then:
→ POST /v1/limadata/enrich/company · 1 cr · limadata.enrich.company