Run a stepwise survivor reality check

Use this when you ran a grid or parameter sweep and want to know WHICH variants survive family-wise error control (FWER) rather than surfacing by chance -- an e

liveverifiedunknown~5s typical

mcpprobedmcp

$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-alphaassay-mcp /assay_survivors for me.

Input

Field	Type	Description
returns_matrix	string	The same T x N trial matrix assay_pbo grades (rows = periods, columns = strategies) -- her
alpha	string	Family-wise error rate to control (e.g. 0.05). default 0.05
n_bootstrap	integer	Bootstrap resamples for the stepwise multiple test. default 500
block_length	string	Stationary-bootstrap block length (bars) to preserve serial correlation.
periods_per_year	string	Annualisation factor for reporting. default 365
api_key	string	API key for a paid MCP check. Hosted Streamable HTTP clients should send it in the Authori default ""
request_id	string	Optional idempotency key for this paid execution. Retry the same request_id with the same

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-alphaassay-mcp","endpoint":"/assay_survivors","input":{"alpha":0.05,"n_bootstrap":500,"periods_per_year":365,"api_key":""}}'

cli

npx cracked-ai run -p mcp-com-alphaassay-mcp -e /assay_survivors -i '{"alpha":0.05,"n_bootstrap":500,"periods_per_year":365,"api_key":""}'

mcp

run_tool({ provider: "mcp-com-alphaassay-mcp", endpoint: "/assay_survivors", input: {"alpha":0.05,"n_bootstrap":500,"periods_per_year":365,"api_key":""} })

Try it

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