check deployment fit

$0.01 USDC on Base mainnet: check model/configuration fit against bounded StackBench capacity evidence.

liveverifiedunknown~5s typical

mcpprobedcomputesagestackbench

$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-computesage-stackbench /check_deployment_fit for me.

Input

Field	Type	Description
model*	string
hardware_system*	string
quantization	string
engine	string
context_length*	integer
concurrency	integer	default 1
max_evidence	integer	default 12

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-computesage-stackbench","endpoint":"/check_deployment_fit","input":{"model":"...","hardware_system":"...","context_length":1,"concurrency":1,"max_evidence":12}}'

cli

npx cracked-ai run -p mcp-com-computesage-stackbench -e /check_deployment_fit -i '{"model":"...","hardware_system":"...","context_length":1,"concurrency":1,"max_evidence":12}'

mcp

run_tool({ provider: "mcp-com-computesage-stackbench", endpoint: "/check_deployment_fit", input: {"model":"...","hardware_system":"...","context_length":1,"concurrency":1,"max_evidence":12} })

Try it

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