Match buyer intent to brands

Takes a natural-language buyer question plus optional intent profile; returns recommendations ranked purely by fit score. Verification status is disclosed but n

liveverifiedunknown~5s typical

mcpprobedgraviti

$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-thesingulariti-graviti /match_intent for me.

Input

Field	Type	Description
question*	string	The buyer's question, as they phrased it
intent_profile	string (anxious_first_timer \| technical_buyer \| price_shopper \| general)	Buyer intent voice; inferred from the question if omitted

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-thesingulariti-graviti","endpoint":"/match_intent","input":{"question":"..."}}'

cli

npx cracked-ai run -p mcp-ai-thesingulariti-graviti -e /match_intent -i '{"question":"..."}'

mcp

run_tool({ provider: "mcp-ai-thesingulariti-graviti", endpoint: "/match_intent", input: {"question":"..."} })

Try it

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