Alphaassay Com MCP

Use this when you want to see AlphaAssay's exact verdict envelope -- schema, findings, leakage taxonomy -- on a built-in example before spending a check. A methodology audit; no buy/sell advice. Free demo verdict -- see AlphaAssay's full output shape in one call. Runs the real fail-closed validator over a built-in 40-trade example and returns the complete verdict envelope (verdict, qualitative fi

No parameter schema on file.

Use this when you have a backtest result or live track record (a trades log, equity curve or QuantConnect export) and need to know whether the edge is real or just overfitting, survivorship or luck. Validate a trading strategy export: fail-closed statistical verdict. Reality-check for backtest results, trade lists and equity curves (overfitting detection, deflated Sharpe, multiple-testing deflati

Use this when someone hands you a claimed track record and you want to recompute it yourself from the fills and candles -- an arithmetic audit of the numbers, not buy/sell advice. Independently recompute a claimed track record -- audit the arithmetic, not the story. New audit object: not the signal, the CALLER'S CALCULATION. Send the trades (entry/exit time, price, side), the candles they were fi

Use this when you have a raw fill or trade log and want it scanned for internal contradictions -- look-ahead timestamps, pnl that disagrees with the row's own prices, duplicate or out-of-order fills. Interrogate a raw fill log for internal contradictions -- no candles needed. assay_preflight lints shape, assay_reproduce audits arithmetic against candles; this tool needs nothing but the log itself

Use this when a signal looks good but you suspect leakage or look-ahead and want to know WHY it fails, not just that it fails -- a diagnostic audit, it does not give buy/sell advice. Leakage forensics: WHY your signal fails, not just that it fails. Upload your own decision timestamps (symbol, decision_time with explicit timezone, long/short) plus OHLCV candles and get a forensic diagnosis: does t

Use this when you want a code-computed DSL backtest whose deflated- Sharpe verdict still means something after repeated searching -- every run is priced into your family's trial ledger. A research audit, not buy/sell advice. Ledger-aware DSL backtest with honest family-level trial accounting. Define the strategy as an executable JSON DSL (indicators: sma, ema, rsi, atr, roc, zscore, price; ops: c

Use this when you want the whole reality-check battery on a strategy in one call -- overfitting, leakage, costs, regimes and a matched-random placebo -- as a demote-only dossier, never buy/sell advice. The full reality-check battery in ONE call -- validator, family deflation, matched-random placebo, capacity ceiling and graveyard prior chained into a single consolidated dossier. Instead of pass/fa

Use this when you want your strategy actively attacked -- execution lag, cost stress, regime split, parameter neighbourhood, drift-burst -- to see what kills it first. Demote-only; it does not give buy/sell advice. We do not check your signal -- we actively try to KILL it. An adversary runs a battery of stress attacks against your strategy (execution-lag push, cost stress, time jackknife, regime s

Use this when you have the T x N returns of a grid search and want the probability of backtest overfitting (PBO, CSCV) -- did the sweep find an edge or manufacture one? A demote-only audit, not buy/sell advice. Did your parameter sweep FIND an edge -- or manufacture one? PBO over the whole trial matrix. Submit the full T x N payoff matrix of every configuration you tried (rows = time-ordered per-

Use this when you have VaR or Expected-Shortfall forecasts and need to know whether reality breached them more often or deeper than your claimed tail level allows -- a risk-forecast audit, not buy/sell advice. Does your risk model's VaR/ES forecast survive contact with reality? Exceedance backtest over YOUR forecasts -- a new claim type: risk numbers, not return claims. Submit realised per-period

Use this when your model emits prediction intervals or confidence bands and you want to audit whether realised outcomes actually fall inside them at the claimed coverage -- a calibration audit, not advice. Does your model's confidence label survive contact with outcomes? Coverage audit over prediction intervals -- confidence claims are the third claim type after return claims and risk forecasts.

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, col

Use this when you have a return history and want the full combinatorial purged cross-validation (CPCV) distribution -- not one walk-forward number -- to see how path-dependent the edge really is. The FULL combinatorial purged CV distribution over your return history -- not one number, the whole picture. The gauntlet's cpcv stage answers a single question; this tool hands over everything behind it

Use this when you optimised over a grid and want to submit the WHOLE sweep honestly -- every variant a ledger trial the family budget prices, so selection bias cannot hide. A research audit, not buy/sell advice. Submit your WHOLE parameter sweep honestly -- one call, every variant a ledger trial. You searched N variants; showing only the winner is exactly the selection bias the family budget pric

Use this when you want to seal a strategy and its success criteria NOW, before the forward data exists, so that registration cannot be adapted or backfilled against those later bars -- a commitment audit, not buy/sell advice. Pre-register a signal NOW; freeze its terms before the forward evidence exists. Signal commitment: your strategy spec (executable JSON DSL) is canonically hashed and committ

Use this when a signal was pre-registered with assay_register and the maturity window has passed -- get the post-cutoff verdict computed only from data after registration. A sealed audit, it gives no buy/sell advice. Post-cutoff verdict under the registration's sealed terms. Evaluates a registration strictly on bars AFTER the registration cutoff, with maturity floor and fail-closed data-gap handl

Use this when you want to check, for free, how often a signal family (e.g. sma_cross) has already been falsified and what usually kills it, before spending a check. Anonymised stats only -- no buy/sell advice. Free lookup: how often has this signal family already died? Anonymised falsification statistics per structural signal family -- tested / killed / survived counts, top kill reasons, and the

Use this when you want to inspect AlphaAssay's current public calibration state for free rather than trust marketing. Calibration v0 is a population/status disclosure, not an outcome score or track record. Self-calibration of the validator's mature pre-registration population: the published contract exposes a bucketed evaluated-registration counter, an explicit forward-outcomes status of accumula

No parameter schema on file.

Use this when someone hands you a signed AlphaAssay certificate and you want to verify both its Ed25519 signature and current platform trust. A verification tool, not buy/sell advice. Verify a signed AlphaAssay certificate against externally rooted public trust. This hosted verifier evaluates full platform trust. The caller PEM is key evidence, never a trust root. A full valid result additionally

Use this when you want to judge ANY signal seller -- including us -- with a machine-readable seven-test falsification protocol you can run in an afternoon. It scores methodology, not markets: no buy/sell advice. Test ANY signal provider in an afternoon -- the falsification protocol as machine-readable rules. Seven falsifiable tests that separate edge from selection, runnable against any signal se

No parameter schema on file.

Use this when you want to lint the SHAPE of a submission (DSL spec, candles or trades) for free before spending a check, so a typo never costs you one. A format check only -- it gives no buy/sell advice. Free payload lint -- fix your submission BEFORE spending a check. Validates the SHAPE of what you are about to submit, with the same machine-readable failure vocabulary the paid tools use: DSL sc