{"uid":"cap_hhas6kX6Jk2-57YJW2M5p","slug":"one-engine-numeric-normalize-range-t9-ded2789b","name":"ONE Engine Numeric Normalize Range (T9)","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/t9?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":"0.018","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":"$0.018/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.018","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.018","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_KKX9OdGe6TfYzUOibw4xq","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.018","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 to a specified range or scale using configurable min, max, size, digits, factor, and offset parameters.","exampleAgentPrompt":"Normalize these sensor readings [12.4, 87.3, 45.1, 3.9, 100.0] to a 0-to-1 range, rounded to 4 decimal digits.","exampleUseCases":[{"title":"ML Feature Scaling Before Model Inference","prompt":"I have a batch of raw feature values [250, 780, 430, 120, 900] and I need them all scaled between 0 and 1 with 3 decimal places before I feed them into my model — can you normalize that array?"},{"title":"Sensor Data Rescaling for Dashboard","prompt":"These temperature sensor readings [15.2, 22.8, 30.1, 8.5, 41.7] need to be rescaled to fit between -10 and 10 with 2 decimal digits for my dashboard display — please normalize them."},{"title":"Score Normalization for Ranking System","prompt":"I have raw relevance scores [0.003, 0.041, 0.0012, 0.089, 0.055] and I want them mapped to a 0–100 range with an offset of 0 and 1 decimal digit precision so I can rank results meaningfully."}],"resultDescription":"A JSON object containing the normalized numeric values rescaled according to the specified min, max, factor, offset, and digit precision parameters. The output maps input values proportionally into the target range.","failureModes":["Array exceeds 1000 elements — request rejected","Non-finite values (NaN, Infinity) in the input array — validation error","Missing required 'values' field — 400 bad request","Payment not provided or insufficient — 402 payment required","Min equals max causing division-by-zero normalization — undefined behavior or error"],"whenToPreferThis":"Choose this endpoint when you need a fast, pay-per-call numeric normalization without spinning up your own compute infrastructure — especially in agentic workflows on Base using x402 micropayments where you want stateless, low-cost numerical preprocessing on arrays up to 1000 elements.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-02T12:44:32.171Z","isFirstParty":false,"canonicalSlug":"one-engine-numeric-normalize-range-t9-ded2789b"}