{"uid":"cap_JH27Lwvps3k1hdJJDvjg_","slug":"one-engine-text-tokenizer-sentence-splitter-b3d53692","name":"ONE Engine Text Tokenizer – 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/t7?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":"0.0065","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":"$0.0065/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.0065","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.0065","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_-gV8ADvjM0J4nZqtNzOaz","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.0065","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Splits input text into individual sentences using tokenization, returning a structured list of sentence-level tokens.","exampleAgentPrompt":"Can you split this product review into individual sentences for me? Here's the text: 'The battery life is incredible. I've had this phone for six months. The camera is decent but the software lags occasionally. Overall I'd recommend it to anyone.'","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 separately: 'Markets surged on Friday. Investors reacted positively to new employment data. The Fed signaled a pause in rate hikes.'"},{"title":"Readability analysis sentence count","prompt":"How many sentences are in this legal clause? Split it up for me: 'The licensee agrees to all terms herein. Breach of any clause may result in termination. All disputes shall be resolved under applicable law.'"},{"title":"Chatbot training data segmentation","prompt":"I have a big block of customer support transcripts — can you tokenize them into individual sentences so I can use them as training examples? Here's a sample: 'Hi, my order hasn't arrived yet. I placed it three days ago. Can someone help me track it?'"}],"resultDescription":"Returns a structured object containing the input text segmented into individual sentences as discrete tokens, suitable for downstream NLP tasks such as sentiment analysis, summarization, or training data preparation.","failureModes":["Text exceeds 50,000 character limit — request rejected or truncated","Empty text field — may return empty array or error","Payment failure via x402 protocol — 402 response, no processing occurs","Malformed JSON body — 400 error returned","Ambiguous sentence boundaries in informal text may produce inconsistent splits"],"whenToPreferThis":"Choose this endpoint when you need lightweight, pay-per-call sentence tokenization without standing up your own NLP infrastructure. Ideal for agent pipelines that process variable volumes of text and want per-call cost control via USDC micropayments on Base. Best for preprocessing steps before sentiment analysis, summarization, or ML training data curation.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-02T12:44:30.868Z","isFirstParty":false,"canonicalSlug":"one-engine-text-tokenizer-sentence-splitter-b3d53692"}