{"uid":"cap_dOug_iGLMREwps6POi5SC","slug":"case-study-section-extraction-44d88ffa","name":"Case Study Section Extraction","description":"Case study - Section extraction: Section extraction for Case study. 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 section extraction deliverable.","url":"https://market.datapackvibe.com/x402/assistant-sector-writing-case-study-section-extract?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"text":{"type":"string","default":"## Challenge\nExample 1 content.\nTODO: review the supplied document by 2026-10-10.\n\n## Solution\nExample 2 content.\nTODO: review the supplied document by 2026-10-10.\n\n## Results\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__ZzySHpgxkLYHup1H5-5h","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":"Extracts named sections from a case study document provided as Markdown or plain text, returning a bounded deliverable of the identified section content.","exampleAgentPrompt":"Pull out the Results section from this case study for me — here's the full Markdown text: '## Challenge\nWe faced declining retention rates...\n## Solution\nWe implemented a loyalty program...\n## Results\nRetention improved by 35% within six months.'","exampleUseCases":[{"title":"Extracting results for executive summary","prompt":"I have a long case study in Markdown and I just need the Results section pulled out cleanly — here's the full text: '## Challenge\nOur client struggled with high churn.\n## Solution\nWe deployed an AI-driven retention tool.\n## Results\nChurn dropped by 40% in Q3 2025.'"},{"title":"Isolating challenge section for proposal reuse","prompt":"Can you extract just the Challenge section from this case study so I can repurpose it in a new business proposal? Here's the full document: '## Challenge\nThe organization lacked visibility into supply chain bottlenecks.\n## Solution\nWe built a real-time dashboard.\n## Results\nLead times reduced by 20%.'"},{"title":"Parsing solution section for knowledge base","prompt":"I need you to grab the Solution section out of this case study Markdown so I can add it to our knowledge base — the full text is: '## Background\nClient operates in regulated healthcare.\n## Challenge\nManual compliance reporting was error-prone.\n## Solution\nWe automated reporting with structured templates.\n## Results\nAudit failures dropped to zero.'"}],"resultDescription":"A bounded extraction deliverable containing the content of the identified section(s) from the supplied case study document, without generative prose or synthesized content — deterministically parsed from the input Markdown or plain text.","failureModes":["Input text exceeds 20,000 character limit — request will be rejected or truncated","Named section not present in the document — empty or null result returned","Malformed Markdown with missing headers — section boundaries may not be detected correctly","Non-standard section naming conventions may cause missed extractions"],"whenToPreferThis":"Choose this endpoint when you need to deterministically extract a named section from a case study document without any generative AI rewriting or hallucination risk. It is ideal for pipelines that process structured case study Markdown with predictable headers like Challenge, Solution, and Results, and where reproducibility and exactness of the extracted text are required. Prefer this over LLM-based extraction when auditability and consistency across repeated calls matter.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T19:17:49.743Z","isFirstParty":false,"canonicalSlug":"case-study-section-extraction-44d88ffa"}