{"uid":"cap_iWDlYRwcH_jV7bePEqCTU","slug":"mann-whitney-u-test-proxy-771972ec","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/agents/api/v1/mann-whitney-u-proxy","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_Rj4ye5z4WKoRSfbT17nwa","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 the Mann-Whitney U statistical test to compare two independent groups for significant differences","exampleAgentPrompt":"Can you run a Mann-Whitney U test on these two groups for me? Group A is [12, 15, 14, 10, 13] and Group B is [20, 22, 19, 25, 21] — I want to know if there's a statistically significant difference between them.","exampleUseCases":[{"title":"A/B test result significance check","prompt":"I ran an experiment and got conversion times for two groups — control is [3.2, 4.1, 3.8, 2.9, 4.5] and variant is [5.1, 6.3, 4.9, 5.7, 6.0]. Can you run a Mann-Whitney U test to tell me if the difference is statistically significant?"},{"title":"Clinical trial group comparison","prompt":"I have pain scores for two patient groups after treatment. Group A got the placebo: [7, 6, 8, 7, 5] and Group B got the drug: [3, 4, 2, 3, 5]. Run a Mann-Whitney U test to see if the drug made a real difference."},{"title":"Marketing campaign performance analysis","prompt":"Compare these two sets of daily sales numbers from before and after our campaign — before: [102, 98, 110, 95, 107] and after: [145, 138, 152, 141, 149]. Use a Mann-Whitney U test to check if the improvement is statistically significant."}],"resultDescription":"Returns a JSON object indicating whether the test was processed successfully, along with the computed test result. Typically includes a status field ('success') and a result field with the Mann-Whitney U statistic and associated p-value or significance conclusion for the two input groups.","failureModes":["Empty or missing group_a or group_b arrays returns an error","Non-numeric values in arrays cause processing failure","Extremely large arrays may time out or return partial results","Malformed JSON body returns 400-level error","Payment failure via x402 protocol blocks request execution"],"whenToPreferThis":"Choose this endpoint when you need a non-parametric statistical comparison of two independent groups and cannot assume normal distribution of the data. It is ideal as an alternative to the independent samples t-test when data is ordinal, skewed, or contains outliers. Prefer this over parametric tests when sample sizes are small or normality is uncertain.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-14T07:00:15.410Z","isFirstParty":false}