{"uid":"cap_gwMKz2z-hedjhMA6K1ii0","slug":"research-note-bounded-text-chunks-89af1286","name":"Research Note Bounded Text Chunks","description":"Research note - Bounded text chunks: Bounded text chunks for Research note. 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-research-note-chunks?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"text":{"type":"string","default":"## Question\nExample 1 content.\nTODO: review the supplied document by 2026-10-10.\n\n## Method\nExample 2 content.\nTODO: review the supplied document by 2026-10-10.\n\n## Findings\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_f48Mk8TxkFr0jJX32abIw","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 a research note (Markdown or plain text) into bounded text chunks of a specified maximum character length using deterministic processing.","exampleAgentPrompt":"Take this research note and split it into chunks of no more than 800 characters each — it's about 3,000 characters of Markdown with sections for Question, Method, and Findings.","exampleUseCases":[{"title":"Chunking research notes for vector indexing","prompt":"I have a 15,000-character Markdown research note and I need it broken into chunks of at most 500 characters so I can embed each chunk and store it in my vector database."},{"title":"Preparing academic document for LLM context windows","prompt":"Can you split this research note into segments of up to 2,000 characters? I need to feed each chunk individually into an LLM pipeline without exceeding context limits."},{"title":"Segmenting findings section for review workflow","prompt":"Take this research note — it covers Question, Method, and Findings sections — and divide it into 1,000-character bounded pieces so each reviewer gets an evenly sized portion to evaluate."}],"resultDescription":"An array of bounded text chunks derived from the input research note, each not exceeding the specified max_characters limit. Processing is deterministic — the same input always produces the same output chunks. No generative content or fact-checking is applied.","failureModes":["Input text exceeds 20,000 character limit — request rejected","max_characters value outside 100–4000 range — validation error","Empty or missing text field — no chunks returned","Malformed request body — HTTP 400 error"],"whenToPreferThis":"Choose this endpoint when you need deterministic, reproducible chunking of a research note in Markdown or plain text format — especially when you require consistent chunk boundaries for downstream embedding, indexing, or review workflows. Prefer this over generative summarization tools when you want the original text preserved verbatim in segments rather than paraphrased or condensed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:39.039Z","isFirstParty":false,"canonicalSlug":"research-note-bounded-text-chunks-89af1286"}