{"uid":"cap_RNmsBTCv4o7WRMdGzYB0D","slug":"kihustle-linear-regression-predict-7f9a9d9d","name":"KiHustle Linear Regression Predict","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/linear-regression-predict?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"points":{"type":"array","items":{"type":"object","additionalProperties":{"type":"number"}}},"predict_x":{"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_baFxoSbHa1KHC2oWhbDTU","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 linear regression on a set of (x, y) data points and returns a predicted y value for a given x input","exampleAgentPrompt":"I have these data points — (1, 2), (2, 4), (3, 5.5), (4, 8) — can you run a linear regression and predict the y value when x is 6?","exampleUseCases":[{"title":"Sales trend extrapolation","prompt":"Here are my monthly sales figures for the past 6 months as (month, revenue) pairs: (1, 1200), (2, 1450), (3, 1600), (4, 1900), (5, 2100), (6, 2350) — can you fit a regression line and predict what my revenue will be in month 9?"},{"title":"Temperature vs energy usage forecast","prompt":"I have daily high temperatures and corresponding electricity usage readings: (65, 300), (72, 340), (80, 410), (88, 480), (95, 550) — please run linear regression and predict electricity usage when the temperature is 100 degrees."},{"title":"Website traffic growth prediction","prompt":"I've tracked my weekly website visitors over 5 weeks: (1, 500), (2, 620), (3, 710), (4, 800), (5, 950) — use linear regression to predict how many visitors I'll have in week 10."}],"resultDescription":"Returns a JSON object containing the predicted y value for the given x input based on a linear regression fit of the provided data points, along with a status field indicating success or failure of the computation.","failureModes":["Fewer than 2 data points provided — regression cannot be computed","All x values are identical — results in a vertical line with no valid slope","Missing required fields (points array or predict_x) — request rejected","Non-numeric values in data points — schema validation failure","Empty points array — computation error"],"whenToPreferThis":"Choose this endpoint when you need a simple, fast, pay-per-call linear regression prediction without setting up a local ML environment. Ideal for lightweight forecasting tasks where the relationship between variables is expected to be linear, and you only need a single prediction rather than a full model export or batch inference.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-11T06:50:47.544Z","isFirstParty":false,"canonicalSlug":"kihustle-linear-regression-predict-cc13b7c9"}