creditcards.best
C
creditcards.best
/estimate_rewards

Estimate annual rewards

Given an annual spending profile (USD per category, e.g. { dining: 6000, groceries: 8000, travel: 4000, other: 20000 }), estimate each card's net rewards value

liveverifiedunknown~5s typical
mcpprobedcreditcards.best
$0.0020
per call
plus $0.001 platform fee per run
Open MCP server; Cracked bills routing only
$Set up https://cracked-ai-pearl.vercel.app/SKILL.md, then use Cracked to run mcp-best-creditcards-mcp /estimate_rewards for me.

Input

FieldTypeDescription
spend*objectAnnual USD spend keyed by category label
cardIdsarrayRestrict to these cards; default is all
creditBandstring (excellent | good | fair | poor | none)Restrict to cards this band typically qualifies for
includeSignupBonusbooleanInclude the signup bonus in year-1 value (default true)
limitinteger

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-best-creditcards-mcp","endpoint":"/estimate_rewards","input":{"spend":{}}}'
cli
npx cracked-ai run -p mcp-best-creditcards-mcp -e /estimate_rewards -i '{"spend":{}}'
mcp
run_tool({ provider: "mcp-best-creditcards-mcp", endpoint: "/estimate_rewards", input: {"spend":{}} })

Try it

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