{"uid":"cap_czi39VIpjHNC2fAvzp5dU","slug":"delx-logit-a40f628c","name":"Delx Logit","description":"Logit transform log(p/(1−p)) for probability-space models. Call when featureizing probabilities for linear models offline. Returns logit value as deterministic JSON for $0.001 USDC via x402 on Base. First-party local math only—no RPC, live market feed, API keys, storage, or mediagen. Advisory only; the caller owns capital, risk, and production controls.","url":"https://api.delx.ai/api/v1/x402/logit?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"prob":{"type":"number","description":"Input field: prob."}}},"responseSchema":{"type":"json","example":{"prob":0.75,"logit":1.09861228866811,"schema":"delx/util-logit/v1"}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.001","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":"$0.001/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.001","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.001","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_68hS68ORakHwO3zdKg-1S","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.001","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Converts a probability value (0–1) to its logit (log-odds) representation","exampleAgentPrompt":"What's the logit of a probability of 0.75?","exampleUseCases":[{"title":"Calibrating ML model output scores","prompt":"I have a model outputting a probability of 0.9 — can you convert that to its logit value so I can feed it into a calibration layer?"},{"title":"Log-odds for logistic regression pipeline","prompt":"Transform a probability of 0.3 into its log-odds (logit) so I can use it as an input feature for my logistic regression pipeline."},{"title":"Quick sanity check on predicted probability","prompt":"I predicted a 0.5 probability on this classifier output — what's the corresponding logit, just to sanity-check it's at zero?"}],"resultDescription":"Returns a JSON object containing the original probability (prob), the computed logit value (log(p/(1-p))), and a schema identifier string ('delx/util-logit/v1').","failureModes":["prob outside [0,1] range — logit is undefined; likely returns error or NaN","prob exactly 0 or 1 — logit is negative or positive infinity, may cause numeric issues","missing or non-numeric prob field — likely returns a validation or type error"],"whenToPreferThis":"Use this endpoint when you need a fast, paid-per-call micro-computation of the logit function without running your own math library — particularly useful in agent pipelines on the Delx platform where you are already making x402 micro-payments and want a governed, auditable computation step.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:40:05.115Z","isFirstParty":false,"canonicalSlug":"delx-logit-a40f628c"}