assay_survivors

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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 error-budget disclosure, not buy/sell advice. WHICH variants of your sweep survive family-wise error control -- an error-budget disclosure, never a ranking. Send the same T x N trial matrix assay_pbo grades (rows = time-ordered periods, columns = every configuration you tried) and get Romano-Wolf stepwise multiple testing over it: studentized per-config statistics, circular block bootstrap over the time rows (serial dependence respected), stepdown max-statistic critical values (Romano/Wolf 2005, Econometrica; Hansen SPA 2005). Answer, per variant IN INPUT ORDER: could this family's evidence kill it at family-wise error rate alpha, and in which stepdown round? Survival- map framing by construction: the verdict vocabulary is fail (nothing survives: NO_SURVIVORS_AT_FWER), conditional (survivors disclosed -- explicitly NOT a pass) or insufficient_evidence (blocked with a named reason); this tool structurally cannot bless, rank or recommend. Natural partner of assay_pbo -- one matrix, two questions: is the SELECTION overfit (pbo), and which variants does the error budget leave standing (survivors). The bootstrap is seeded from the input digest; fail-closed on size, budget and numerics; no ledger write. NOT financial advice. Price: per check; see https://api.alphaassay.com/v1/meta/pricing (api_key required -- account setup at https://api.alphaassay.com/account).