{"uid":"cap_eSTgTWFAVRb2czzoouTPu","slug":"one-engine-text-token-sentence-splitter-70870aa1","name":"ONE Engine Text Token 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/t9?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":"0.018","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":"$0.018/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.018","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.018","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_fh6q28AWxLlYFQ6MfUTcE","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.018","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Splits input text (up to 50,000 characters) into individual sentences via a pay-per-call API using x402 on Base.","exampleAgentPrompt":"Split this article into individual sentences: 'The quick brown fox jumped over the lazy dog. It was a sunny afternoon. Nobody could explain what happened next.'","exampleUseCases":[{"title":"NLP pipeline sentence chunking","prompt":"Break this product review into individual sentences so I can analyze each one separately: 'The battery life is incredible. Setup was a nightmare. Customer support never responded to my emails. Overall I'd recommend it to patient people.'"},{"title":"Document preprocessing for summarization","prompt":"I need to split this 10-paragraph news article into sentence-level chunks before I feed it into my summarizer — can you segment it sentence by sentence?"},{"title":"Training data preparation","prompt":"Take this block of raw text and split it into sentences for me so I can use them as training examples: 'Language models learn from patterns in text. Each sentence carries distinct meaning. Sentence boundaries help segment context effectively.'"}],"resultDescription":"Returns an object containing the input text split into an array of individual sentences, segmented at natural sentence boundaries. The exact response shape follows the additionalProperties:true schema, so the agent should expect a structured object with sentence segments.","failureModes":["Text exceeds 50,000 character limit — request rejected or truncated","Payment failure via x402 if wallet has insufficient USDC on Base","Malformed or missing 'text' field returns a validation error","Ambiguous sentence boundaries in poorly punctuated text may yield unexpected splits","Network timeout from Cloudflare Workers under load"],"whenToPreferThis":"Choose this endpoint when you need a lightweight, pay-per-call sentence tokenizer without standing up your own NLP infrastructure. It's ideal for autonomous agents that occasionally need sentence segmentation as part of a larger pipeline and want to pay only per use ($0.018 USDC) rather than maintain a full NLP service. Prefer it over general-purpose LLM calls when deterministic sentence splitting is needed at low cost.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-02T12:43:58.394Z","isFirstParty":false,"canonicalSlug":"one-engine-text-token-sentence-splitter-70870aa1"}