companies

Search and filter company records by keyword, exact domain, HQ country, industry group, NAICS code, employee-count bucket, or founded-year range. Costs one cred

liveunknown~5s typical

mcpsignals

$0.0020

per call

plus $0.001 platform fee per run

Open MCP server; Cracked bills routing only

Provider Upstream docs

$Set up https://cracked-ai-pearl.vercel.app/SKILL.md, then use Cracked to run mcp-com-datahyena-signals /companies for me.

Input

Field	Type	Description
cursor	string	Opaque pagination cursor returned as pagination.nextCursor on the previous page.
since	string	Return companies created/updated on or after this date (YYYY-MM-DD) or ISO-8601 timestamp.
limit	integer	Maximum records to return (1-100). Each returned record costs one credit. default 20
search	string	Keyword search over name, domain, and description.
domain	string	Exact company domain.
countries	array	Headquarters country codes (ISO alpha-2, OR). Pass "unknown" to include companies with no
industryGroups	array	Company industry groups (OR). Matched literally against the LinkedIn labels. Pass "unknown
naicsCode	string	NAICS 2022 code. Matches the code and everything beneath it, so "51" also returns 5132 and
employeeCountBuckets	array	LinkedIn employee count buckets (OR), e.g. 51-200. Pass "unknown" for no headcount.
foundedYearMin	integer	Minimum founded year.
foundedYearMax	integer	Maximum founded year.

Call it

curl

curl https://cracked-ai-pearl.vercel.app/v1/run \
  -H "Authorization: Bearer ck_live_..." -H "content-type: application/json" \
  -d '{"provider":"mcp-com-datahyena-signals","endpoint":"/companies","input":{"limit":20}}'

cli

npx cracked-ai run -p mcp-com-datahyena-signals -e /companies -i '{"limit":20}'

mcp

run_tool({ provider: "mcp-com-datahyena-signals", endpoint: "/companies", input: {"limit":20} })

Try it

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