{"uid":"cap_TrVaU0cLmoEl6Hq4iOi7c","slug":"one-engine-text-token-paragraph-splitter-0c2c1e48","name":"ONE Engine Text Token Paragraph 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/paragraphs/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_gyCXvMN2vR6DECjl3pIeY","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 into paragraphs and returns tokenized paragraph-level segments for downstream NLP processing.","exampleAgentPrompt":"Split the following article into its individual paragraphs so I can process each one separately: [paste up to 50,000 characters of text here].","exampleUseCases":[{"title":"Chunking articles for RAG pipelines","prompt":"Take this 10,000-word research article and break it into paragraph-level chunks so I can embed each one for my retrieval-augmented search index."},{"title":"Preprocessing blog post for summarization","prompt":"Split this long blog post into its paragraphs — I want to summarize each paragraph individually before combining them into a final summary."},{"title":"Segmenting legal document for review","prompt":"I have a contract that's about 30,000 characters long. Can you break it into paragraphs so I can review and annotate each section one at a time?"}],"resultDescription":"Returns a JSON object containing the input text split into paragraph-level segments, likely as an array of paragraph strings or token representations, enabling downstream per-paragraph processing, embedding, or analysis.","failureModes":["Text exceeds 50,000 character limit — request rejected or truncated","Empty text input returns empty or error response","Malformed JSON body causes 400 error","Payment not completed via x402 on Base results in 402 Payment Required","Text with no paragraph breaks may return single-element result","Network timeout on Cloudflare Worker edge node"],"whenToPreferThis":"Choose this endpoint when you need a lightweight, pay-per-call paragraph segmentation and tokenization step without standing up your own NLP pipeline. It's ideal for autonomous agents that need to preprocess variable-length documents into paragraph chunks for embedding, summarization, or per-section analysis, and want to pay only per call via x402 on Base rather than managing a subscription.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-02T12:43:37.554Z","isFirstParty":false,"canonicalSlug":"one-engine-text-token-paragraph-splitter-0c2c1e48"}