{"uid":"cap_UwqkF6bfqgvTua4yh30-I","slug":"kihustle-anova-f-statistic-proxy-3ba79b81","name":"KiHustle ANOVA F-Statistic Proxy","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/bot-bazaar/api/v1/anova-f-stat-proxy?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"groups":{"type":"object"}}},"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_lHe97egS0pZJcf0-tYViR","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 ANOVA F-statistic across multiple groups of numeric data to test for statistically significant differences between group means.","exampleAgentPrompt":"Run an ANOVA F-statistic test on my three groups: control [23, 25, 28, 22], treatment A [30, 32, 29, 31], and treatment B [18, 20, 22, 19] — I want to know if the differences between group means are statistically significant.","exampleUseCases":[{"title":"A/B/C experiment significance testing","prompt":"I ran a three-arm experiment and got these scores — group A: [85, 88, 90, 87], group B: [78, 80, 76, 82], group C: [91, 93, 89, 92]. Can you compute the ANOVA F-statistic to tell me if any group is genuinely different from the others?"},{"title":"Clinical trial group comparison","prompt":"I have three patient cohorts with blood pressure readings — placebo: [120, 122, 118, 125], low-dose: [110, 112, 108, 115], high-dose: [100, 98, 102, 105]. Run an ANOVA F-stat test to see if the differences between these groups are statistically significant."},{"title":"Marketing channel performance analysis","prompt":"I've got weekly conversion rates across four marketing channels — email: [3.2, 3.5, 3.1], social: [2.8, 2.6, 2.9], paid search: [4.1, 4.3, 4.0], organic: [1.9, 2.1, 2.0]. Can you compute the ANOVA F-statistic to figure out if these channels are performing differently or if it's just noise?"}],"resultDescription":"Returns a JSON object with a result field indicating the computed ANOVA outcome and a status field confirming successful processing. The F-statistic value derived from the provided group data is returned, allowing the caller to assess between-group vs. within-group variance ratios.","failureModes":["Malformed groups object with non-numeric values returns an error","Empty or single group provided — ANOVA requires at least two groups","Groups with fewer than two observations may cause computation failure","Network timeout if the proxy backend is unresponsive","Invalid JSON body structure results in a 400-level error"],"whenToPreferThis":"Choose this endpoint when you need a quick, pay-per-call ANOVA F-statistic computation without setting up a local statistics library or a full data science environment. Ideal for AI agents that need to perform hypothesis testing on the fly as part of an automated analytical workflow. Best for lightweight, single-call statistical tests on modest datasets where $0.002 per call is cost-effective.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T07:14:54.851Z","isFirstParty":false,"canonicalSlug":"kihustle-anova-f-statistic-proxy-aaf4f2e6"}