{"uid":"cap_OTx97ruMPIE2GYSH7nrHg","slug":"research-note-section-reorder-5401435f","name":"Research Note Section Reorder","description":"Research note - Reorder recognised sections: Reorder recognised sections 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 reorder recognised sections deliverable.","url":"https://market.datapackvibe.com/x402/assistant-sector-writing-research-note-section-order?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}}},"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_De1_HO9tFl_giFmK6B619","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":"Reorders the recognised sections of a research note document into a canonical sequence using deterministic processing.","exampleAgentPrompt":"Can you reorder the sections in my research note so they follow the standard sequence? Here's the text: '## Findings\\nWe observed X.\\n## Question\\nWhat causes Y?\\n## Method\\nWe used Z approach.'","exampleUseCases":[{"title":"Normalize draft research note structure","prompt":"I've written a research note but the sections are all out of order — Question, Findings, Method are jumbled. Can you reorder them into the proper sequence for me? Here's the full text."},{"title":"Standardize team-submitted research notes","prompt":"Our contributors submit research notes with sections in random order. Reorder this one so it follows the recognised research note structure: '## Findings\\nData shows X.\\n## Question\\nWhy does Y occur?\\n## Method\\nWe surveyed 200 users.'"},{"title":"Prepare research note for publication","prompt":"Before I publish this research note, I need the sections put in the correct canonical order. Here's the Markdown — can you rearrange the headings and their content into the right sequence?"}],"resultDescription":"The input research note text returned with its recognised sections reordered into the canonical sequence. Output is deterministic — identical inputs always produce the same reordering. No generative prose, paraphrasing, or fact-checking is performed; only section order is changed.","failureModes":["Input text exceeds 20,000 character limit — request rejected","No recognised section headings found in input — no reordering possible","Malformed or missing text field — validation error","Ambiguous section boundaries may result in unexpected grouping"],"whenToPreferThis":"Choose this endpoint when you need deterministic, template-driven reordering of a research note's sections without any AI-generated rewrites or content changes. Ideal for pipelines that need consistent, reproducible document structuring at low cost ($0.01 USDC per call) and without the overhead of a generative model.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:30.075Z","isFirstParty":false,"canonicalSlug":"research-note-section-reorder-5401435f"}