Lite Reflection (quick estimate)

Run an anonymous Lite Reflection on any brand's AI Citability — a fast, open estimate of how discoverable and citable it is in AI answers (its Brand Discovery I

liveverifiedunknown~5s typical

mcpprobedmirror—ai

$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-danielsdesignstudio-mirror-ai-citability /score for me.

Input

Field	Type	Description
url*	string	Brand website URL (required), e.g. example.com
brand	string	Brand name (optional, improves disambiguation)
industry	string	Industry (optional, improves disambiguation)

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-danielsdesignstudio-mirror-ai-citability","endpoint":"/score","input":{"url":"..."}}'

cli

npx cracked-ai run -p mcp-com-danielsdesignstudio-mirror-ai-citability -e /score -i '{"url":"..."}'

mcp

run_tool({ provider: "mcp-com-danielsdesignstudio-mirror-ai-citability", endpoint: "/score", input: {"url":"..."} })

Try it

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