{"uid":"cap_XSg5dH69o3MGWo_eoMcDY","slug":"kihustle-anova-f-statistic-proxy-131b5366","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/agents/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_1Qszzsu2LPeAtu9OVtFug","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 for multiple groups of numerical data to test for statistically significant differences between group means.","exampleAgentPrompt":"Can you run a one-way ANOVA F-statistic test on these three groups for me? Group A: [12, 15, 14, 13], Group B: [22, 25, 24, 23], Group C: [32, 35, 34, 33] — I want to know if the group means differ significantly.","exampleUseCases":[{"title":"A/B/C experiment significance test","prompt":"I ran three variants of my landing page and collected conversion counts — Group A: [5, 7, 6, 8], Group B: [12, 14, 11, 13], Group C: [9, 8, 10, 11]. Can you compute the ANOVA F-statistic to tell me if the differences between these groups are statistically significant?"},{"title":"Academic research group comparison","prompt":"I have test scores from three different teaching methods: Method 1: [78, 82, 80, 76], Method 2: [88, 91, 85, 90], Method 3: [70, 74, 72, 68]. Please calculate the ANOVA F-stat so I can see if the teaching method meaningfully affects student scores."},{"title":"Product quality control variance check","prompt":"We measured the weight of products from three production lines — Line 1: [100.1, 99.8, 100.3], Line 2: [99.5, 98.9, 99.7], Line 3: [101.2, 100.8, 101.5]. Run an ANOVA F-statistic test to see if there's a significant variance across lines."}],"resultDescription":"Returns a JSON object containing the computed ANOVA F-statistic result and a status field indicating success. The result field contains the processed output of the statistical test, which can be used to determine whether group means differ significantly.","failureModes":["Malformed or empty groups object returns an error","Non-numeric values in group arrays may cause computation failure","Fewer than two groups provided may result in invalid ANOVA computation","Groups with zero variance may produce undefined F-statistic","Network timeout for very large group datasets"],"whenToPreferThis":"Choose this endpoint when you need a quick, pay-per-call ANOVA F-statistic computation without setting up a local statistics library or environment. It is well-suited for AI agents that need on-demand statistical hypothesis testing across multiple data groups as part of an automated workflow, at very low cost ($0.002 per call).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T12:31:56.829Z","isFirstParty":false,"canonicalSlug":"kihustle-anova-f-statistic-proxy-aaf4f2e6"}