{"uid":"cap_uoVHx2HTQzI0f1oBZq-x9","slug":"release-notes-bounded-text-chunks-c36f925f","name":"Release Notes Bounded Text Chunks","description":"Release notes - Bounded text chunks: Bounded text chunks for Release notes. Supplied Markdown or plain text, up to 20,000 characters. Deterministic processing and document templates; no generative prose or fact checking. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded bounded text chunks deliverable.","url":"https://market.datapackvibe.com/x402/assistant-sector-writing-release-notes-chunks?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"text":{"type":"string","default":"## Added\nExample 1 content.\nTODO: review the supplied document by 2026-10-10.\n\n## Changed\nExample 2 content.\nTODO: review the supplied document by 2026-10-10.\n\n## Fixed\nExample 3 content.\nTODO: review the supplied document by 2026-10-10.","maxLength":20000},"max_characters":{"type":"integer","default":1000,"maximum":4000,"minimum":100}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","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":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_74qdIsRTw6nrux4rXGN1X","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Splits release notes markdown or plain text into bounded text chunks of a specified maximum character length using deterministic document processing.","exampleAgentPrompt":"Can you split these release notes into chunks of at most 800 characters each? Here's the markdown: '## Added\\nNew login feature added.\\n## Fixed\\nResolved crash on startup.\\n## Changed\\nUpdated UI colors.'","exampleUseCases":[{"title":"Chunking changelog for vector search","prompt":"Take this CHANGELOG.md content and break it into chunks no longer than 1000 characters so I can store them in a vector database for semantic search."},{"title":"Preparing release notes for RAG pipeline","prompt":"I need to segment these release notes into 500-character bounded blocks before feeding them into our RAG pipeline — here's the full markdown text."},{"title":"Splitting long release notes for LLM context windows","prompt":"These release notes are too long for a single LLM prompt — can you split them into chunks of at most 2000 characters each so I can process them one at a time?"}],"resultDescription":"Returns a list of bounded text chunks derived from the input release notes markdown or plain text, where each chunk does not exceed the specified max_characters limit. Processing is deterministic, using document templates without generative prose or fact checking.","failureModes":["Text exceeds 20,000 character input limit — request rejected","max_characters value below 100 or above 4000 — validation error","Empty or missing text input — may return empty chunk array","Malformed request body — HTTP 400 or 422 error","Payment not included or insufficient — HTTP 402 Payment Required"],"whenToPreferThis":"Choose this endpoint when you need deterministic, template-based chunking of release notes or changelog markdown specifically, and want a predictable, reproducible split without any AI-generated paraphrasing or summarization. Ideal for preprocessing steps in RAG pipelines, vector store ingestion, or embedding workflows where chunk boundaries must be consistent across runs.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T18:48:33.047Z","isFirstParty":false,"canonicalSlug":"release-notes-bounded-text-chunks-c36f925f"}