{"uid":"cap_URur6SqThHY-fg8O-PvML","slug":"animica-document-structure-analyzer-064e9f67","name":"Animica Document Structure Analyzer","description":"Animica Python Cloud: deploy a Python function to animica.dev, get a public endpoint, and earn ANM every time someone runs it. Free AI (OpenAI-compatible, no key), free scheduled Workers, and an 80/20 developer split.","url":"https://animica.dev/x402/health/document/structure","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"text":{"type":"string","description":"the document text"}}},"responseSchema":{"type":"json"},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.002","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":"$0.002/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.002","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.002","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_B6VkhUMhKYrx8L-jGN041","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.002","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Analyzes raw document text and returns its structural breakdown — sections, headings, hierarchy, and layout organization.","exampleAgentPrompt":"Can you analyze the structure of this document text and tell me how it's organized — what sections, headings, and hierarchy it has? Here's the text: 'Introduction\\nThis paper covers three topics...\\nSection 1: Background\\n...'","exampleUseCases":[{"title":"Research paper outline extraction","prompt":"I have a long research paper and I want to understand its structure before reading it — can you pull out all the sections and headings from this text: 'Abstract: We present... 1. Introduction... 2. Related Work... 3. Methodology...'"},{"title":"Legal contract section mapping","prompt":"Can you break down the structure of this legal contract text so I can see all the clauses and sub-sections? Here's the full text: 'AGREEMENT FOR SERVICES\\n1. Parties\\n1.1 This agreement is between...'"},{"title":"Document ingestion pipeline pre-processing","prompt":"Before I store this technical manual, I need to understand its document structure — what are the top-level sections, subsections, and how they're nested? The text starts with: 'Chapter 1: Installation\\n1.1 Requirements\\n1.2 Setup...'"}],"resultDescription":"A JSON object describing the structural breakdown of the submitted document text, including identified sections, headings, hierarchy levels, and organizational layout elements.","failureModes":["Empty or missing 'text' field returns an error or empty structure","Extremely short text with no detectable structure may return a minimal or flat result","Unformatted or poorly delimited text may produce low-confidence structural parsing","Very large documents may hit payload limits or time out","Malformed JSON request body returns a 400-level error"],"whenToPreferThis":"Choose this endpoint when you need to programmatically understand how a document is organized — its sections, headings, and hierarchy — without manually parsing it. It is ideal for pre-processing pipelines before storing, indexing, or summarizing documents, or when you need a structural outline quickly at $0.006/call with no API key or account required.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-13T18:48:34.247Z","isFirstParty":false}