estimate llm cost

Estimate the cost of an LLM/API workload (input + output tokens) for a usage-priced provider (OpenAI, Anthropic, AWS Bedrock…) from its real rate card.

liveverifiedunknown~5s typical

mcpprobedcostbench

$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-costbench-mcp /estimate_llm_cost for me.

Input

Field	Type	Description
slug*	string
model	string
inputTokens	number	Input tokens for the workload (e.g. per month). At least one of inputTokens/outputTokens m
outputTokens	number	Output tokens for the workload. At least one of inputTokens/outputTokens must be > 0.

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-costbench-mcp","endpoint":"/estimate_llm_cost","input":{"slug":"..."}}'

cli

npx cracked-ai run -p mcp-com-costbench-mcp -e /estimate_llm_cost -i '{"slug":"..."}'

mcp

run_tool({ provider: "mcp-com-costbench-mcp", endpoint: "/estimate_llm_cost", input: {"slug":"..."} })

Try it

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