{"uid":"cap_fzGTkqeK1SMDkzxJRsIGx","slug":"one-engine-text-token-paragraphs-splitter-6c368eba","name":"ONE Engine Text Token Paragraphs 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/t3?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":"0.001","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":"$0.001/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.001","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.001","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_WM1YM7Sd6pP8F7ygA990Y","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.001","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Splits a block of text (up to 50,000 characters) into tokenized paragraph segments for downstream processing by autonomous agents.","exampleAgentPrompt":"Can you split this article into its individual paragraphs so I can process each one separately? Here's the text: 'Large language models have transformed the way we interact with computers. They enable natural language understanding at scale. However, they also raise important ethical questions about bias and safety.'","exampleUseCases":[{"title":"Chunking articles for RAG pipeline","prompt":"I have a long research article I need to break into paragraph-level chunks before embedding them into my vector database — can you split this text into paragraphs for me? Here's the article content: 'The history of artificial intelligence spans several decades...'"},{"title":"Pre-processing legal documents","prompt":"Take this contract text and split it into its individual paragraphs so I can analyze each clause separately: 'This agreement is entered into by and between Party A and Party B. The obligations herein shall commence on the effective date...'"},{"title":"Segmenting blog posts for translation","prompt":"Break this blog post into separate paragraphs so I can translate each one individually: 'Starting a business is one of the most rewarding things you can do. It requires courage, planning, and persistence. The first step is identifying your market...'"}],"resultDescription":"Returns a JSON object containing the input text split into its constituent paragraphs or token-delimited segments, enabling downstream per-paragraph processing, embedding, translation, or analysis.","failureModes":["Text exceeds 50,000 character limit — request rejected","Empty text field — validation error returned","Malformed JSON body — 400 Bad Request","Payment not attached or insufficient USDC — 402 Payment Required","Cloudflare Worker timeout for very complex or malformed input"],"whenToPreferThis":"Choose this endpoint when you need a cheap, pay-per-call ($0.001 USDC) utility to split text into paragraphs within an autonomous agent pipeline, especially when operating on-chain via x402 on Base. It is ideal for pre-processing steps before vector embedding, translation, or clause-level analysis, and when you want to avoid spinning up your own NLP infrastructure.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-02T12:41:51.191Z","isFirstParty":false,"canonicalSlug":"one-engine-text-token-paragraphs-splitter-6c368eba"}