{"uid":"cap_4s-PbNx0xgHe2Gf2wixW0","slug":"numora-anova-statistics-endpoint-4101ccdb","name":"Numora ANOVA Statistics Endpoint","description":"100 pure math computation endpoints for AI agents. Statistics, financial math, linear algebra, equation solving, calculus, number theory, sequence generation, and unit conversions. Zero external dependencies. x402 micropayments on Base.","url":"https://numormo.vercel.app/api/statistics/anova","method":"POST","headers":{},"bodySchema":{"type":"object","required":["groups"],"properties":{"groups":{"type":"array","description":"Array of groups"}}},"responseSchema":{"type":"object","required":["success","result","computation"],"properties":{"result":{"type":"object","description":"Computation result varies by endpoint"},"success":{"type":"boolean","description":"Always true on success"},"computation":{"type":"string","description":"Human-readable description of what was computed"}}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.1","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"registry","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":"$0.1/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.1","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.1","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_4qLzfs01io2GZ9kM8s-OS","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.1","costPer":"request","priority":0,"asset":null,"unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Performs one-way Analysis of Variance (ANOVA) across multiple data groups to test whether their means differ significantly","exampleAgentPrompt":"Can you run an ANOVA test on these three groups of measurements to see if their means are significantly different: Group A is [12.3, 14.1, 11.8, 13.5], Group B is [18.2, 17.9, 19.1, 18.5], and Group C is [10.2, 11.1, 9.8, 10.5]?","exampleUseCases":[{"title":"Clinical trial group comparison","prompt":"I have test scores from three treatment groups in my study — Group 1: [82, 85, 79, 88], Group 2: [91, 94, 89, 92], Group 3: [76, 78, 74, 80] — can you run an ANOVA to tell me if there's a statistically significant difference between them?"},{"title":"A/B/C experiment analysis","prompt":"I ran three variations of a landing page and tracked conversion counts: Control [23, 25, 22, 27], Variant A [31, 29, 33, 30], Variant B [19, 21, 18, 22] — do an ANOVA and tell me if any variant performs significantly differently from the others?"},{"title":"Manufacturing quality control","prompt":"We measured product defect rates across four production lines: Line1 [2.1, 1.9, 2.3], Line2 [3.5, 3.8, 3.2], Line3 [2.0, 2.2, 1.8], Line4 [4.1, 3.9, 4.3] — run an ANOVA to see if the lines differ significantly in defect rate."}],"resultDescription":"Returns a JSON object with 'success' (true), a 'result' object containing ANOVA statistics such as F-statistic, p-value, degrees of freedom, sum of squares, and significance indicators, plus a 'computation' string that describes in plain English what was calculated.","failureModes":["Missing or empty 'groups' array returns validation error","Fewer than two groups provided causes ANOVA to fail (requires at least 2 groups)","Groups with fewer than 2 data points may produce degenerate results","Non-numeric values in group arrays cause computation errors","Payment failure via x402 micropayment returns 402 status"],"whenToPreferThis":"Choose this endpoint when you need a pure server-side, zero-dependency ANOVA computation without setting up a statistics library locally. It is ideal for AI agents that need on-demand statistical testing as part of automated analysis pipelines, when you have 2 or more groups of numeric data and want to know if their means differ significantly. Prefer this over general-purpose compute endpoints when you specifically need ANOVA with a clean JSON response and micropayment billing.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-14T12:56:05.745Z","isFirstParty":false}