{"uid":"cap_fn_r2iWlfjCwOECgW62op","slug":"money-mind-judge-nano-selection-correction-gate-5886ae1d","name":"Money Mind Judge Nano — Selection Correction Gate","description":"Is this backtest winner real, or the luckiest of N tries — the selection correction in one $0.01 call. Use when your agent has a backtest winner, a research result, or any return series that looks good — and needs the cheapest possible check on whether it is real or the luckiest of N tries. One call runs the selection correction: the family-wise p of the series' own t across your declared n_tested. Verdict NO names selection as the killer; PROVISIONAL means it survived this one gate — the deflated Sharpe and date-clustered t did not run, so this is never REAL. For the full three-gate verdict use judge-lite. Bad input is refused before payment, never charged. Money Mind sells judges, not strategies. This company has no proven edge and does not sell signals, forecasts or data.","url":"https://money-mind-extract.onrender.com/judge-nano?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","$schema":"https://json-schema.org/draft/2020-12/schema","required":["input"],"properties":{"input":{"type":"object","required":["type","method","body"],"properties":{"body":{"type":"object","description":"Use when your agent has a backtest winner, a research result, or any return series that looks good — and needs the cheapest possible check on whether it is real or the luckiest of N tries. One call runs the selection correction: the family-wise p of the series' own t across your declared n_tested. V"},"type":{"type":"string","const":"http"},"method":{"enum":["POST"],"type":"string"},"bodyType":{"enum":["json"],"type":"string"}},"additionalProperties":false},"output":{"type":"object","properties":{"type":{"type":"string"},"example":{"type":"object"}}}}},"responseSchema":{"type":"json","example":{"verdict":"NO","killed_by":["selection"],"family_wise_p":0.31}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_z9z6plvHugla2qPUgyzpg","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Runs a single-gate selection correction (family-wise p-value) on a return series to check whether a backtest winner is real or just the luckiest of N tested strategies, for $0.01 per call.","exampleAgentPrompt":"I tested 50 strategies and this one came out on top — can you run the selection correction gate on it to check if it's genuinely significant or just the luckiest of the bunch? Here's the return series and n_tested is 50.","exampleUseCases":[{"title":"Screening a momentum strategy backtest","prompt":"I built a momentum strategy and it looks great in backtest, but I tested about 30 variants before settling on this one — can you run the selection correction on this return series with n_tested=30 to tell me if it actually holds up statistically?"},{"title":"Filtering a research result before publication","prompt":"I have a quantitative research result from a paper I'm writing — I tested 20 hypotheses and this return series was the best performer. Can you check whether it survives the selection gate with n_tested=20 before I invest more time in it?"},{"title":"Pre-screening before expensive full analysis","prompt":"Before I pay for the full three-gate judge analysis, can you run just the cheap $0.01 selection correction on this return series first? I tested 15 strategies and this is the winner — just want to know if it clears the family-wise p threshold with n_tested=15."}],"resultDescription":"Returns a verdict label (e.g. NO or PROVISIONAL), the family-wise p-value of the series' own t-statistic across the declared n_tested strategies, and if rejected, names selection bias as the failure reason. A PROVISIONAL verdict means the series passed this single gate only — deflated Sharpe and date-clustered t were not run, so the result is never labeled REAL at this tier.","failureModes":["Bad or malformed input is rejected before payment is charged — no charge for invalid requests","If n_tested is not declared or is implausible, the call is refused","Return series with insufficient length may be rejected","Network or service unavailability on the Render-hosted endpoint"],"whenToPreferThis":"Use this endpoint when you have a single backtest winner and need the cheapest possible first-pass check for selection bias before committing to more expensive or deeper analysis. It is ideal as a pre-filter in an agent pipeline: if this gate rejects the series, skip the full judge. Prefer it over the full judge-lite when budget is tight or when batch-screening many candidates one at a time.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-16T00:36:42.775Z","isFirstParty":false,"canonicalSlug":"money-mind-judge-nano-selection-correction-gate-5886ae1d"}