{"uid":"cap_3etuIJLCGloM-rVoHCxO6","slug":"avedaris-entity-normalize-67aad620","name":"AveDaris Entity Normalize","description":"AveDaris is the economic coordination layer for autonomous software: discover, route, evaluate, procure, verify, and learn across agent services.","url":"https://api.avedaris.com/v1/paid/entity-normalize","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"name":{"type":"string","description":"Entity or organization name."}}},"responseSchema":{"type":"json","example":{"result":{"tokens":["acme"],"canonical":"acme"}}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.005","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":"$0.005/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.005","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.005","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_OfG571c8FUEFRoY_XUSvN","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.005","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Normalizes an entity or organization name into canonical tokens and a canonical form","exampleAgentPrompt":"Can you normalize the company name 'Acme Corp.' into its canonical form and tokens so I can match it against our database?","exampleUseCases":[{"title":"Deduplicating vendor records","prompt":"I have a bunch of vendor names like 'Apple Inc.', 'Apple, Inc', and 'Apple Incorporated' — can you normalize each one so I can figure out which ones are the same company?"},{"title":"Standardizing CRM organization entries","prompt":"Our CRM has organization names in all different formats — can you take 'International Business Machines Corp.' and give me its canonical name and tokens so we can standardize our records?"},{"title":"Entity matching in agent pipeline","prompt":"Before I try to look up this company in our knowledge base, can you normalize the name 'General Electric Co.' into canonical tokens so the lookup doesn't fail on formatting differences?"}],"resultDescription":"Returns a JSON object with a 'result' field containing 'tokens' (an array of normalized name tokens, e.g. ['acme']) and 'canonical' (a single canonical string form of the entity name, e.g. 'acme').","failureModes":["Missing or empty 'name' field returns an error or empty result","Highly ambiguous or non-standard names may produce unexpected tokenization","Very long or complex multi-part names may be truncated or partially normalized","Non-Latin scripts or special characters may not normalize predictably"],"whenToPreferThis":"Choose this endpoint when you need to normalize or canonicalize entity or organization names for deduplication, matching, or standardization purposes — especially in data pipelines where variant name spellings must be resolved to a single canonical form. Prefer this over generic NLP tokenizers when you specifically need entity-aware normalization with both tokens and a canonical string output.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-15T13:00:16.832Z","isFirstParty":false}