Count the firm directory by country, kind, module or SAP signal

Answer a COUNTING question about the published firm directory in one call: how many organisations per country, per kind, per declared SAP module, or per SAP sig

liveverifiedunknown~5s typical

mcpprobedanalyticslegends—

$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-ai-analyticslegends-sap-analytics /count_firms_by for me.

Input

Field	Type	Description
by*	string (country \| kind \| module \| sap_signal_band)	Which facet to count on. Required — there is no default worth guessing.
query	string	Free-text filter, case-insensitive. EVERY word must appear in the record (substring per wo
country	string	ISO-3166-1 alpha-2 country code, e.g. DE, FR, CH.
kind	string	Restrict to one organisation kind before counting, same vocabulary as search_firms. Combin
module	string	Restrict to organisations with a DECLARED link to one SAP module code before counting, sam

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-ai-analyticslegends-sap-analytics","endpoint":"/count_firms_by","input":{"by":"country"}}'

cli

npx cracked-ai run -p mcp-ai-analyticslegends-sap-analytics -e /count_firms_by -i '{"by":"country"}'

mcp

run_tool({ provider: "mcp-ai-analyticslegends-sap-analytics", endpoint: "/count_firms_by", input: {"by":"country"} })

Try it

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