{"uid":"cap_qlmG9_KESbGuzjGjmLj4h","slug":"numora-anova-analysis-of-variance-endpoint-9f311a86","name":"Numora — ANOVA (Analysis of Variance) 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://numomo.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_9QHYejVpr5vAw3homTU_m","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 ANOVA statistical test across multiple groups to determine if their means differ significantly","exampleAgentPrompt":"Run a one-way ANOVA on these three groups of measurements to see if their means are significantly different: Group A is [23, 25, 28, 22], Group B is [30, 33, 35, 29], and Group C is [40, 38, 42, 45].","exampleUseCases":[{"title":"A/B/C experiment significance test","prompt":"I ran a clinical trial with three treatment groups and got these response scores — can you run an ANOVA to check if the treatments produce meaningfully different outcomes? Group 1: [12, 15, 14, 13], Group 2: [20, 22, 19, 21], Group 3: [18, 17, 20, 16]."},{"title":"Quality control batch comparison","prompt":"We measured defect rates across four production lines this week. Run an ANOVA to tell me if the lines are performing significantly differently: Line 1: [2, 3, 2, 1], Line 2: [5, 6, 4, 5], Line 3: [1, 2, 1, 2], Line 4: [4, 3, 5, 4]."},{"title":"Survey response group analysis","prompt":"I have customer satisfaction scores split by region — North: [7,8,9,7], South: [5,6,5,4], East: [8,9,8,9], West: [6,7,6,5]. Run an ANOVA and tell me if the regional differences are statistically significant."}],"resultDescription":"Returns a JSON object with success: true, a result object containing key ANOVA statistics (F-statistic, p-value, between-group and within-group sum of squares, degrees of freedom, mean squares), and a computation string that describes in plain English what was calculated and what the results indicate.","failureModes":["Missing or empty 'groups' array — returns 400 error","Fewer than two groups provided — ANOVA requires at least 2 groups","Groups contain non-numeric values — computation will fail","Groups with zero variance (all identical values) — may produce division-by-zero in F-statistic","Payment failure via x402 micropayment — request blocked without valid USDC payment"],"whenToPreferThis":"Choose this endpoint when you need a pure server-side, dependency-free ANOVA computation without setting up a stats library locally. Ideal for AI agents that need to run hypothesis tests on-the-fly within automated pipelines. Prefer over general-purpose math libraries when you want a simple JSON API with micropayment access and no environment setup. Use when comparing three or more groups; for exactly two groups, a t-test endpoint may be more appropriate.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-15T18:52:38.034Z","isFirstParty":false}