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Enriching companies

Skill Scout-AI-Labs/scout-skills/skills/enriching-companies

Agent Skills for using Scout: web research, sourced answers, company enrichment, structured extraction, monitoring. Works in Claude Code, Claude.ai, the Agent SDK, and Vercel eve.

Install
npx -y skills add Scout-AI-Labs/scout-skills --skill enriching-companies

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What its author says it does

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Find and enrich companies with Scout. Use when the user wants a company profile from a domain or name, wants to build a list of companies matching a description (e.g. "Series A fintech in Europe"), or wants to enrich leads with firmographics, socials, logo, or industry codes. Turns a domain or a description into structured company data.

SKILL.md

1.5 KB, 309 tokens by cl100k_base, as published. Nobody here has run it

Enriching companies

Scout resolves a company from a domain and builds lists of companies from a description. No model reasoning needed; Scout returns structured data.

One company, from a domain

curl -s https://core.usescout.sh/v1/company \
  -H "Authorization: Bearer $SCOUT_API_KEY" -H "Content-Type: application/json" \
  -d '{"domain":"stripe.com"}'

Also available: /v1/company/by-email, /v1/company/by-name, /v1/company/by-ticker, /v1/company/simple (faster, fewer fields), /v1/company/logo, /v1/company/fonts, /v1/company/styleguide. With the MCP server, use scout_company.

A list of companies, from a description

curl -s https://core.usescout.sh/v1/lists \
  -H "Authorization: Bearer $SCOUT_API_KEY" -H "Content-Type: application/json" \
  -d '{"query":"Series A developer-tools startups in Europe","fields":["name","website","hq_country"],"limit":25}'

Enriching a list of leads

For each row, pull the domain (from a website/email field), call /v1/company on it, and merge the profile back onto the row. Skip rows with no domain rather than dropping them. Output JSON or a CSV the user can import.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.