{"uid":"cap_nil9hkTScd9PnQaxfcSJE","slug":"one-engine-text-to-paragraphs-tokenizer-7ee283a3","name":"ONE Engine Text-to-Paragraphs 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/t6?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":"0.004","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":"$0.004/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.004","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.004","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_T8YEsy4xbOmHtpWbmD-v_","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.004","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 paragraph-level segments for downstream agent processing.","exampleAgentPrompt":"Split this article into individual paragraphs so I can process each one separately: 'The quick brown fox jumped over the lazy dog. Meanwhile, in the forest nearby, a family of deer grazed peacefully. By nightfall, the animals had all settled down.'","exampleUseCases":[{"title":"NLP pipeline paragraph chunking","prompt":"Take this 10,000-word research paper and break it into individual paragraphs so I can run sentiment analysis on each section separately."},{"title":"Document summarization pre-processing","prompt":"Split this blog post into paragraphs before I summarize each one: 'Artificial intelligence is transforming industries. Healthcare is seeing dramatic improvements. Education is being reimagined entirely.'"},{"title":"Agent-readable article segmentation","prompt":"I need to feed this news article to my agent piece by piece — can you tokenize it into paragraph segments so it can process them one at a time?"}],"resultDescription":"Returns a structured object containing the input text parsed and tokenized into paragraph-level segments, ready for downstream NLP tasks or agent pipelines.","failureModes":["Text exceeds 50,000 character limit — request rejected","Empty text input — may return empty segments or error","Malformed JSON request body — 400 error","Payment failure via x402 — 402 response requiring USDC on Base","Ambiguous paragraph boundaries in text with unusual formatting — unexpected segmentation"],"whenToPreferThis":"Choose this endpoint when you need low-cost, pay-per-call paragraph tokenization for autonomous agent pipelines operating on Base with x402 micropayments, especially when processing large volumes of text where per-call pricing ($0.004 USDC) is more economical than subscription-based NLP services.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-02T12:44:01.402Z","isFirstParty":false,"canonicalSlug":"one-engine-text-to-paragraphs-tokenizer-7ee283a3"}