get customer insights

Get customer behavior and retention insights. All reports are per-store in multi-store mode — use the store param to target a specific store. Reports: new_vs_re

liveunknown~5s typical

mcpaskai

$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-ask-ai-data-connector-ask-ai /get_customer_insights for me.

Input

Field	Type	Description
report*	string (new_vs_returning \| repeat_metrics \| cohorts \| retention_curve \| by_category \| cohorts_by_first_purchase)	Report type
startDate	string	Start date (YYYY-MM-DD)
endDate	string	End date (YYYY-MM-DD)
months	integer	For cohorts and retention_curve: number of months to look back for acquisition (default: 6
sortBy	string (totalSpent \| orders)	For top_customers: sort by totalSpent or orders (default: totalSpent)
minSpent	number	For lapsed_high_value: minimum lifetime spend in major units, e.g. 500 for £500 (default:
daysInactive	integer	For lapsed_high_value: days since last order to count as lapsed (default: 90)
maxDaysInactive	integer	For lapsed_high_value: upper bound on inactivity — customers whose last order is older tha
limit	integer	For top_customers and lapsed_high_value: number of results (default: 20)

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-ask-ai-data-connector-ask-ai","endpoint":"/get_customer_insights","input":{"report":"new_vs_returning"}}'

cli

npx cracked-ai run -p mcp-com-ask-ai-data-connector-ask-ai -e /get_customer_insights -i '{"report":"new_vs_returning"}'

mcp

run_tool({ provider: "mcp-com-ask-ai-data-connector-ask-ai", endpoint: "/get_customer_insights", input: {"report":"new_vs_returning"} })

Try it

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