{"uid":"cap_w2n6JEMreZLimW1S_2fzq","slug":"money-mind-sample-size-calculator-90777af9","name":"Money Mind — Sample Size Calculator","description":"Pay-per-call adjudication for trading research.\nEleven gates that killed 35 of our own concepts. Is your backtest real, is your\nprice data real, is your t-stat inflated? USDC on Base, no account needed.","url":"https://money-mind-extract.onrender.com/samplesize?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":"How many observations before this test can answer anything — ask before you spend"},"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":{"reading":"...","verdict":"..."}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.31","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":"$0.31/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.31","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.31","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_4kL3p1nQ-_Z0xlJvFMBFD","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.31","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Computes the minimum number of observations required for a trading strategy test to have statistical power before running a backtest.","exampleAgentPrompt":"Before I run my backtest, can you check how many observations I actually need for the test to be statistically meaningful — I have a mean-reversion equity strategy with daily bars and want to detect a Sharpe of 0.5?","exampleUseCases":[{"title":"Pre-backtest power check for equity strategy","prompt":"I have 3 years of daily OHLCV data for a momentum strategy and want to know if that's enough observations before I start backtesting — can you calculate the required sample size to detect a realistic edge?"},{"title":"Avoiding underpowered crypto DeFi test","prompt":"I'm about to test a DeFi yield farming strategy using 6 months of hourly data — tell me how many observations I actually need before this test can give a meaningful answer."},{"title":"Validating data sufficiency before ML model training","prompt":"We have 500 trades in our historical dataset for a machine learning-based trading model — is that sample large enough to produce a statistically valid result, or are we wasting our time?"}],"resultDescription":"Returns a JSON object with a 'reading' field containing a statistical interpretation and a 'verdict' field with a clear pass/fail or quantified recommendation on whether the dataset has enough observations for the test to be meaningful.","failureModes":["Missing or malformed 'body' in the input object returns a validation error","Insufficient test parameter details may produce a low-confidence or inconclusive verdict","Payment failure via USDC on Base prevents the call from being processed","Endpoint may time out or return 503 if the render.com host is cold-starting","Ambiguous or underspecified strategy parameters may yield a generic rather than precise sample size estimate"],"whenToPreferThis":"Use this endpoint when you want to validate data sufficiency BEFORE investing time or money in a full backtest — it acts as a cheap ($0.31) pre-flight check that tells you whether your observations are enough to detect a real edge at meaningful statistical power. Prefer this over running a full backtest blindly, especially when working with limited historical data, short time windows, or rare trade signals. It is not a substitute for the full multi-gate adjudication endpoint but is the fastest and cheapest first gate.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T12:39:53.886Z","isFirstParty":false,"canonicalSlug":"money-mind-sample-size-calculator-90777af9"}