{"uid":"cap_n1cQilSq-8EOZEr9gCSEL","slug":"nfkc-text-normalization-e68325e7","name":"NFKC Text Normalization","description":"Call when an agent needs text normalized with nfkc. No network and no LLM. Exact $0.01 USDC. Prefer unpaid POST /v1/sandbox/norm-nfkc first.","url":"https://agentshelf.syntexa.ch/v1/norm-nfkc?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"text":{"type":"string","examples":["Hello, World!"],"maxLength":100000,"minLength":1,"description":"Input for this SKU. The route description says whether it is plain text, a URL, base64 bytes, or an already-encoded token."}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","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":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_iW2r5OblzRp4a09liYjF0","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Normalizes Unicode text using NFKC (Compatibility Decomposition followed by Canonical Composition) with no network or LLM involvement","exampleAgentPrompt":"Can you NFKC-normalize this text for me: 'Ａｅｓｔｈｅｔｉｃ ﬁle ½ cаfé'? I need the canonically composed unicode form with compatibility characters resolved.","exampleUseCases":[{"title":"Normalize fullwidth Japanese/ASCII input","prompt":"I have this text with fullwidth characters that came from a Japanese form input: 'Ａｐｐｌｅ　１２３'. Can you NFKC-normalize it so the characters become standard ASCII?"},{"title":"Resolve ligatures before text indexing","prompt":"Before I index this document text into my search engine, I need to expand unicode ligatures like 'ﬁ' and 'ﬀ' into their component letters. Can you run NFKC normalization on it: 'Oﬃce ﬁles and ﬀ combos'?"},{"title":"Standardize mixed unicode before string comparison","prompt":"I'm comparing two strings that should be equal but aren't matching because one uses compatibility unicode variants. Please NFKC-normalize this string so I can do a clean comparison: '½ ℌello ℓ world'"}],"resultDescription":"Returns the NFKC-normalized version of the input text string, where compatibility characters are decomposed and then canonically recomposed — for example fullwidth ASCII becomes regular ASCII, ligatures are split into component letters, and fractions like ½ become '1/2'.","failureModes":["Empty or missing 'text' field returns a validation error","Input exceeding 100,000 characters is rejected","Payment of exactly $0.01 USDC is required; incorrect payment amount causes 402 rejection","Network or server errors may result in 5xx responses"],"whenToPreferThis":"Prefer this endpoint when you need deterministic, offline NFKC Unicode normalization without any LLM or external network calls. It is ideal for preprocessing pipelines that require consistent string representation before indexing, comparison, or storage. Use the unpaid sandbox endpoint POST /v1/sandbox/norm-nfkc first for testing before paying $0.01 USDC per call on this production endpoint.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-02T06:50:08.622Z","isFirstParty":false,"canonicalSlug":"nfkc-text-normalization-e68325e7"}