{"uid":"cap_m2RcQL8uwU-vXBwi-OPrQ","slug":"one-engine-text-sentence-tokenizer-a5cc7e14","name":"ONE Engine Text Sentence Tokenizer","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/t1?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":"0.0005","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":"$0.0005/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.0005","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.0005","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_VZc_z_TkyXwO8LgVPA3c5","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.0005","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 a pay-per-call NLP tokenization API on Base via x402.","exampleAgentPrompt":"Split this paragraph into individual sentences: 'The quick brown fox jumps over the lazy dog. It was a sunny day. The fox smiled and ran away.'","exampleUseCases":[{"title":"Preprocessing text for NLP pipeline","prompt":"Break this article excerpt into individual sentences so I can run sentiment analysis on each one: 'The market surged today. Investors remained cautious. Analysts predicted further volatility.'"},{"title":"Chunking documents for summarization","prompt":"Segment this 10-paragraph report into sentences — I want to feed each sentence separately into my summarization model."},{"title":"Counting sentences in a document","prompt":"How many sentences are in this text? 'She arrived early. The meeting had already started. No one noticed her slip in quietly. She took her seat near the back.'"}],"resultDescription":"Returns a structured object containing the text split into individual sentences, likely as an array of sentence strings with associated metadata such as count or offsets, enabling downstream per-sentence processing.","failureModes":["Text exceeds 50,000 character limit — request rejected","Empty or missing 'text' field — validation error","Payment failure via x402 on Base — 402 Payment Required response","Malformed JSON body — 400 Bad Request","Service timeout on very long or complex texts"],"whenToPreferThis":"Choose this endpoint when you need a lightweight, low-cost, pay-per-call sentence tokenizer without standing up your own NLP infrastructure. Ideal for autonomous agents that need to segment text on-demand at $0.0005 per call using x402 on Base. Best for moderate-length texts up to 50,000 characters where per-sentence segmentation is the primary goal.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-02T12:43:51.713Z","isFirstParty":false,"canonicalSlug":"one-engine-text-sentence-tokenizer-a5cc7e14"}