{"uid":"cap_Bk-AAZqPQlYcwcTcUlCPI","slug":"kihustle-standard-error-of-the-mean-calculator-4bef0b7e","name":"KiHustle Standard Error of the Mean Calculator","description":"Kostenlose Guides, Solo-Playbooks und Artikel zu KI, Automation und Side Hustles — für Menschen, die mit echten Systemen online Einkommen aufbauen wollen. Transparent finanziert über faire Affiliate-Links.","url":"https://kihustle.tech/agents/api/v1/standard-error-mean","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"values":{"type":"array","items":{"type":"number"}}}},"responseSchema":{"type":"json","example":{"result":"processed","status":"success"}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.002","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":"$0.002/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.002","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.002","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_Wjzm6vX-9SLVR5cLmmRfK","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.002","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Computes the standard error of the mean (SEM) for a given array of numeric values","exampleAgentPrompt":"Can you calculate the standard error of the mean for these values: 12.4, 15.1, 13.8, 14.2, 11.9, 16.0, 13.5?","exampleUseCases":[{"title":"Research sample variability check","prompt":"I have a set of experimental measurements — 5.2, 6.1, 5.8, 5.5, 6.3, 5.9 — can you calculate the standard error of the mean so I know how reliable my sample average is?"},{"title":"A/B test metric precision","prompt":"We ran an A/B test and collected conversion scores: 0.12, 0.15, 0.11, 0.14, 0.13, 0.16. What's the standard error of the mean for these results?"},{"title":"Survey response score analysis","prompt":"I have survey scores from 8 respondents: 72, 68, 74, 70, 75, 69, 71, 73 — compute the standard error of the mean for me so I can report confidence intervals."}],"resultDescription":"Returns a JSON object with a 'result' field containing the computed standard error of the mean and a 'status' field indicating success. The SEM is derived from the provided array of numeric values.","failureModes":["Empty array input — cannot compute SEM with no values","Single-value array — standard deviation is undefined for n=1, may return error or zero","Non-numeric values in array — input validation failure","Missing 'values' field in request body — returns error","Very large arrays may cause timeout or processing delay"],"whenToPreferThis":"Choose this endpoint when you need a quick, pay-per-call computation of the standard error of the mean without setting up your own statistics library or environment. Useful in lightweight agent pipelines that need on-demand statistical calculations for small to medium datasets.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-14T07:00:00.374Z","isFirstParty":false}