{"uid":"cap_LXwr6jHWadexnnBBLwsu7","slug":"one-engine-text-to-token-paragraphs-t2-8468cd10","name":"ONE Engine Text-to-Token Paragraphs (t2)","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/t2?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":"0.0007","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":"$0.0007/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.0007","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.0007","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_4jIAMSjbQiBWZWw_A3XbD","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.0007","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Splits or tokenizes input text into structured paragraph-level tokens for downstream NLP processing by autonomous agents.","exampleAgentPrompt":"Split this article text into paragraph-level tokens so I can process each section separately: 'Artificial intelligence is transforming industries worldwide. Companies are investing heavily in machine learning. The results are already visible in healthcare, finance, and logistics.'","exampleUseCases":[{"title":"Chunking research paper for RAG pipeline","prompt":"Take this 10-page research paper text and break it into paragraph-level tokens so I can embed each chunk separately for my retrieval system."},{"title":"Segmenting blog post for summarization","prompt":"Split this blog post into individual paragraph segments so I can summarize each one independently: [paste full blog text here]."},{"title":"Preprocessing scraped web content","prompt":"I scraped this news article and need it split into paragraph tokens before I run sentiment analysis on each section — can you tokenize it by paragraph?"}],"resultDescription":"Returns a structured object containing the input text parsed into paragraph-level tokens or segments, suitable for downstream NLP tasks such as embedding, summarization, or sentiment analysis per paragraph.","failureModes":["Text exceeds 50,000 character limit — request rejected","Malformed JSON body or missing required 'text' field — 400 error","Payment failure via x402 on Base — 402 response requiring USDC payment","Empty text input returns empty or minimal token structure","Cloudflare Worker timeout on extremely dense text"],"whenToPreferThis":"Choose this endpoint when you need a cheap, pay-per-call paragraph-level tokenization of text up to 50,000 characters, especially in agentic pipelines on Base where x402 micropayments are already set up. Prefer it over heavier NLP frameworks when you only need paragraph segmentation without additional linguistic annotations.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-02T12:44:17.046Z","isFirstParty":false,"canonicalSlug":"one-engine-text-to-token-paragraphs-t2-8468cd10"}