{"uid":"cap_6aYhHnoXCd9KbZwHn4JFu","slug":"one-engine-numeric-normalize-range-top-10-b724bfa7","name":"ONE Engine Numeric Normalize Range (Top-10)","description":"Low-cost pay-per-call utility APIs for autonomous agents using x402 on Base.","url":"https://one-search.one-engine.workers.dev/v3/numeric/normalize-range/t10?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","required":["values"],"properties":{"max":{"type":"number"},"min":{"type":"number"},"size":{"type":"integer"},"digits":{"type":"integer"},"factor":{"type":"number"},"offset":{"type":"number"},"values":{"type":"array","description":"Finite numbers, maximum 1000"}}},"responseSchema":{"type":"object","additionalProperties":true},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.03","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":"$0.03/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.03","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.03","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_Sd2LnFGrtRSU_ir6oqHGa","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.03","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Normalizes an array of numbers into a specified range with optional scaling, offsetting, rounding, and top-10 filtering.","exampleAgentPrompt":"Normalize these scores [42, 7, 99, 15, 63, 88, 3, 51] to a range of 0 to 100, round to 2 decimal places, and give me just the top 10 results.","exampleUseCases":[{"title":"ML Feature Scaling Pipeline","prompt":"I have a list of raw feature values [0.5, 120, 3.2, 87, 0.01, 45] — can you normalize them to between 0 and 1 with 4 decimal places so they're ready for my model?"},{"title":"Leaderboard Score Ranking","prompt":"Take these player scores [340, 12, 780, 560, 230, 95, 410] and normalize them to a 0–100 scale, then return just the top 10 highest normalized values rounded to whole numbers."},{"title":"Sensor Data Standardization","prompt":"I've got temperature sensor readings [18.3, 22.7, 19.1, 31.5, 15.0, 27.8] and I need to rescale them to fit between -1 and 1 with 3 digits of precision — can you do that?"}],"resultDescription":"Returns a JSON object containing the normalized (and optionally scaled, offset, rounded, and top-N filtered) numeric values derived from the input array. The exact shape is flexible (additionalProperties: true), but will include the transformed numeric results.","failureModes":["Missing required 'values' array returns a validation error","Array exceeding 1000 elements may be rejected or truncated","Non-finite numbers (NaN, Infinity) in the values array likely cause errors","Payment failure via x402 results in a 402 Payment Required response","Invalid min/max combinations (e.g. min > max) may produce unexpected results"],"whenToPreferThis":"Use this endpoint when you need a pay-per-call, no-setup numeric normalization with optional top-N filtering in a single API call. It is ideal for agents that only occasionally need to rescale data and want to avoid provisioning a full math/statistics service. Choose it over generic computation endpoints when you specifically need range normalization with ranking built in.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-02T12:44:28.384Z","isFirstParty":false,"canonicalSlug":"one-engine-numeric-normalize-range-top-10-b724bfa7"}