{"uid":"cap_4gXo9JrJx0dP_SWPFbf2p","slug":"mann-whitney-u-test-proxy-a61591d7","name":"Mann-Whitney U Test 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/nexus/api/v1/mann-whitney-u-proxy?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"group_a":{"type":"array","items":{"type":"number"}},"group_b":{"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_ROX_dyIZilB9PjXmm2IqV","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":"Performs a Mann-Whitney U non-parametric statistical test comparing two independent numeric groups to determine if they come from the same distribution.","exampleAgentPrompt":"Run a Mann-Whitney U test comparing these two groups of measurements — group A is [12, 15, 14, 10, 13] and group B is [20, 22, 19, 25, 21] — and tell me if the difference is statistically significant.","exampleUseCases":[{"title":"A/B test conversion rate comparison","prompt":"I have conversion scores from two versions of my landing page — variant A is [3, 5, 4, 6, 3, 7] and variant B is [8, 9, 7, 10, 8, 11]. Can you run a Mann-Whitney U test to see if one variant significantly outperforms the other?"},{"title":"Clinical trial outcome analysis","prompt":"Compare these two patient groups' pain scores for me using a non-parametric test: treatment group is [2, 3, 2, 1, 4] and control group is [6, 7, 5, 8, 6]. I need to know if the treatment made a real difference."},{"title":"Salary equity analysis between departments","prompt":"I want to check if salaries differ significantly between two departments without assuming normal distribution — department A salaries are [55000, 60000, 58000, 62000] and department B are [72000, 68000, 75000, 70000]. Run a Mann-Whitney U test on those."}],"resultDescription":"Returns a JSON object with a 'result' field indicating the outcome of the Mann-Whitney U computation and a 'status' field confirming success. Detailed U-statistic and p-value fields may be included depending on implementation.","failureModes":["Empty arrays for group_a or group_b cause computation failure","Non-numeric values in the arrays result in a processing error","Missing required group fields return a validation error","Very large arrays may cause timeout or unexpected results","Ambiguous or minimal response schema means the exact error format is uncertain"],"whenToPreferThis":"Use this endpoint when you need a quick, low-cost non-parametric comparison of two independent numeric groups without assuming normal distribution, and when you are already integrating x402 micropayment-enabled APIs. Prefer this over parametric t-tests when your data violates normality assumptions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-13T12:48:06.149Z","isFirstParty":false,"canonicalSlug":"mann-whitney-u-test-proxy-a61591d7"}