{"uid":"cap_AAdDWRTJl8-QViBT5A84k","slug":"kihustle-covariance-calculator-858a2350","name":"KiHustle Covariance Calculator","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/covariance-calculator?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"series_a":{"type":"array","items":{"type":"number"}},"series_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_dCRVzrinD5SK7EVHcw2mB","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 covariance between two numeric data series provided as input arrays","exampleAgentPrompt":"Calculate the covariance between these two data series for me: series A is [2.1, 3.5, 4.0, 5.2, 6.1] and series B is [1.8, 3.2, 3.9, 5.0, 5.8].","exampleUseCases":[{"title":"Portfolio asset correlation analysis","prompt":"I have daily returns for two stocks over the past week — Stock A was [0.02, -0.01, 0.03, 0.005, -0.02] and Stock B was [0.015, -0.008, 0.025, 0.004, -0.018]. Can you compute their covariance so I can understand how they move together?"},{"title":"Sales and marketing spend relationship","prompt":"I want to know the covariance between my monthly ad spend [1200, 1500, 1800, 2100, 2400] and my monthly revenue [8000, 9500, 11000, 13500, 15000] — can you calculate that for me?"},{"title":"Scientific experiment variable analysis","prompt":"I have two measurement series from my experiment: temperature readings [20.1, 22.3, 24.5, 26.7, 28.9] and reaction rates [0.45, 0.52, 0.61, 0.70, 0.79]. Please compute the covariance between them."}],"resultDescription":"Returns a JSON object with a 'result' field containing the computed covariance value and a 'status' field indicating success. The covariance quantifies the joint variability between the two input numeric series.","failureModes":["Mismatched array lengths between series_a and series_b may cause computation errors","Empty arrays may return an error or undefined result","Non-numeric values in arrays will likely cause processing failures","Very large arrays may time out or produce unexpected results","Minimal response schema means error details may be limited"],"whenToPreferThis":"Choose this endpoint when you need a simple, low-cost ($0.002) API call to compute pairwise covariance between two numeric arrays without setting up local statistical libraries. Suitable for lightweight agent workflows that need on-demand statistical computation.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-10T01:05:11.717Z","isFirstParty":false,"canonicalSlug":"kihustle-covariance-calculator-858a2350"}