{"uid":"cap__ta59pNifiasHSa8uET0U","slug":"one-engine-text-t5-paragraph-tokenizer-64c0627c","name":"ONE Engine Text T5 Paragraph 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/paragraphs/t5?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":"0.0025","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":"$0.0025/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.0025","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.0025","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_WOBaaoRXJN3Y8We1SboEY","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.0025","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Splits and tokenizes input text into paragraphs using T5-style tokenization via a pay-per-call API on Base.","exampleAgentPrompt":"Can you split this article into tokenized paragraphs using T5? Here's the text: 'Artificial intelligence is transforming industries worldwide. Companies are investing heavily in machine learning. The future of automation looks promising for productivity gains.'","exampleUseCases":[{"title":"Preprocess document for NLP pipeline","prompt":"I need to tokenize this research paper into paragraph segments using T5 before feeding it into my embedding model — here's the full text: 'Climate change poses significant risks to global agriculture. Rising temperatures affect crop yields across regions. Adaptation strategies are urgently needed by farming communities worldwide.'"},{"title":"Chunk long article for summarization","prompt":"Take this 10,000-character news article and split it into tokenized paragraphs so I can summarize each section separately: 'The economy grew at a steady pace last quarter. Unemployment rates fell to historic lows. Consumer spending remained robust despite inflationary pressures.'"},{"title":"Segment legal document for analysis","prompt":"Break this contract text into T5-tokenized paragraph chunks so I can analyze each clause individually: 'The parties agree to the following terms and conditions. Payment shall be made within thirty days of invoice. Disputes shall be resolved through binding arbitration.'"}],"resultDescription":"A JSON object containing the input text segmented and tokenized at the paragraph level using T5 tokenization, with token arrays or paragraph-level token representations suitable for downstream NLP tasks.","failureModes":["Text exceeds 50,000 character limit — request rejected","Empty text field — validation error returned","Payment failure via x402 — 402 response blocking execution","Malformed JSON input — 400 bad request","Network timeout on Cloudflare Workers edge — retry required"],"whenToPreferThis":"Choose this endpoint when you need lightweight, cheap T5-style paragraph-level tokenization on a pay-per-call basis without managing your own NLP infrastructure. Ideal for autonomous agent pipelines that need to preprocess variable-length documents into paragraph tokens at low cost ($0.0025 USDC per call) using Base blockchain micropayments via x402.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-02T12:44:17.545Z","isFirstParty":false,"canonicalSlug":"one-engine-text-t5-paragraph-tokenizer-64c0627c"}