{"uid":"cap_tMrdvNXZNam7-OWrMaFC7","slug":"one-engine-text-token-paragraphs-t1-57a7c0d5","name":"ONE Engine Text Token Paragraphs (t1)","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/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_BL1gvolkwtm4i4d1u1tl7","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 paragraph-level token segments for downstream processing by autonomous agents.","exampleAgentPrompt":"Can you split this article into paragraph-level tokens using ONE Engine? Here's the text: 'The global economy is shifting. New technologies are emerging rapidly. Governments are responding with new policies...'","exampleUseCases":[{"title":"Chunking articles for RAG pipeline","prompt":"Take this 10,000-character news article and break it into paragraph-level chunks so I can embed each one separately for my retrieval pipeline."},{"title":"Preparing legal document for analysis","prompt":"I have this legal contract — can you segment it into individual paragraphs so I can analyze each clause one at a time?"},{"title":"Splitting essays for summarization","prompt":"Here's a long academic essay I need to summarize section by section — please split it into paragraphs first so I can process each one."}],"resultDescription":"Returns a JSON object containing the input text segmented into paragraph-level tokens or chunks, suitable for downstream NLP tasks such as embedding, summarization, or clause-level analysis.","failureModes":["Text exceeds 50000 character limit — request will be rejected or truncated","Empty or missing 'text' field — returns validation error","Payment failure via x402 on Base — request blocked without USDC micropayment","Malformed JSON body — returns 400 error","Network timeout on large text inputs"],"whenToPreferThis":"Choose this endpoint when you need lightweight, low-cost paragraph-level text segmentation at scale, especially in autonomous agent pipelines that require pay-per-call micropayment via x402 on Base. It is ideal when you want to avoid spinning up a full NLP stack just to chunk a document into paragraphs.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-02T12:43:50.086Z","isFirstParty":false,"canonicalSlug":"one-engine-text-token-paragraphs-t1-57a7c0d5"}