{"uid":"cap_OzoB0m-IsBv3KDWbdOVnB","slug":"one-engine-text-tokenization-sentence-splitter-cdb52e62","name":"ONE Engine Text Tokenization – Sentence Splitter","description":"Low-cost pay-per-call utility APIs for autonomous agents using x402 on Base.","url":"https://one-search.one-engine.workers.dev/v3/text-token/sentences/t6?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","required":["text"],"properties":{"text":{"type":"string","description":"Text up to 50000 characters"}}},"responseSchema":{"type":"object","additionalProperties":true},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.004","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":"$0.004/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.004","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.004","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_FYc13CHzYUMxzbNGkSQrf","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.004","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Splits a text string (up to 50,000 characters) into individual sentences using token-level text analysis.","exampleAgentPrompt":"Split this paragraph into individual sentences: 'Natural language processing is a branch of AI. It helps computers understand human text. Many tasks rely on sentence segmentation as a first step.'","exampleUseCases":[{"title":"NLP pipeline sentence preprocessing","prompt":"Take this news article and break it into individual sentences so I can run sentiment analysis on each one: 'The stock market rallied sharply on Thursday. Investors responded positively to the Fed announcement. Tech stocks led the gains.'"},{"title":"Document chunking for search indexing","prompt":"I need to split this 10,000-character product manual into individual sentences so I can index each one separately for semantic search."},{"title":"Extracting sentences from customer feedback","prompt":"Take this block of customer reviews and split it into separate sentences — I want to analyze each claim individually: 'The delivery was fast. However, the packaging was damaged. Customer support resolved my issue quickly.'"}],"resultDescription":"Returns a JSON object containing the input text segmented into individual sentences, likely as an array of sentence strings with possible token-level metadata, suitable for downstream NLP tasks.","failureModes":["Text exceeding 50,000 characters may be rejected or truncated","Empty or whitespace-only text input may return an empty sentence list","Ambiguous sentence boundaries (e.g. abbreviations, ellipses) may result in incorrect splits","Payment failure via x402/USDC may block the request","Malformed JSON body returns an error","Non-English or mixed-language text may produce degraded segmentation quality"],"whenToPreferThis":"Choose this endpoint when you need lightweight, pay-per-call sentence tokenization without spinning up a local NLP library or paying for a larger, more expensive API. Ideal for autonomous agents running on Base/x402 that need cheap, stateless sentence segmentation as a preprocessing step for downstream tasks like sentiment analysis, summarization, or semantic search indexing.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-02T12:44:37.050Z","isFirstParty":false,"canonicalSlug":"one-engine-text-tokenization-sentence-splitter-cdb52e62"}