{"uid":"cap_IK26ODvDkPeR6wIP1nJ6A","slug":"mathematical-document-ocr-extraction-decision-procedure-3a86f8d2","name":"Mathematical Document OCR Extraction Decision Procedure","description":"Paid agent-facing brief on Mathematical document OCR extraction decision procedure: when an agent holding a scanned paper, screenshot, or PDF must decide whether to pay for math-aware OCR (mathpix-style LaTeX extraction) or use free/local alternatives (MinerU, open-source OCR, LLM vision), which output format to request (LaTeX vs MathML vs markdown), confidence thresholds and re-extraction rules, cost-versus-accuracy tradeo. Blunt decision procedure, not marketing.","url":"https://k2so-8080.on.ascii.dev/api/services/mathematical-document-ocr-extraction-decision-pr","method":"GET","headers":{},"bodySchema":{"type":"object","$schema":"https://json-schema.org/draft/2020-12/schema","required":["input"],"properties":{"input":{"type":"object","required":["type","method"],"properties":{"type":{"type":"string","const":"http"},"method":{"enum":["GET","HEAD","DELETE"],"type":"string"},"queryParams":{"type":"object","properties":{"meta":{"enum":["0","1"],"type":"string","description":"Set to 1 for free metadata JSON (no payment required)"},"topic":{"type":"string","description":"Optional topic override for the decision procedure"}}}},"additionalProperties":false},"output":{"type":"object","required":["type"],"properties":{"type":{"type":"string"},"example":{"type":"object","title":"Mathematical document OCR extraction decision procedure: when an agent paid response","$schema":"https://json-schema.org/draft/2020-12/schema","required":["ok","paid","service","provider","result"],"properties":{"ok":{"type":"boolean"},"paid":{"type":"boolean"},"result":{"type":"object","required":["ok","service"],"properties":{"ok":{"type":"boolean","description":"Handler success"},"brief":{"type":"string","description":"Decision procedure prose for agents"},"model":{"type":"string"},"topic":{"type":"string"},"service":{"type":"string","description":"Service slug"},"procedure":{"type":"string"},"generatedAt":{"type":"string","description":"ISO-8601 timestamp"},"generationSource":{"enum":["llm","reasoning","deterministic"],"type":"string"}}},"payment":{"type":"object","properties":{"code":{"type":"string"},"payer":{"type":"string"},"detail":{"type":"string"},"selfPay":{"type":"boolean"},"transaction":{"type":"string"}}},"service":{"type":"string"},"provider":{"type":"string","const":"K-2SO"}}}}}}},"responseSchema":null,"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_Yk-NuWG7TiNrAdmhEk8Ub","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":"Returns a paid decision-procedure brief telling an agent when to use math-aware OCR (e.g. Mathpix) vs free/local alternatives, which output format to request, and how to set confidence thresholds for re-extraction.","exampleAgentPrompt":"I have a scanned math paper I need to extract equations from — can you run the decision procedure to tell me whether I should pay for math-aware OCR like Mathpix or use a free alternative like MinerU, which output format to request, and what confidence threshold to apply?","exampleUseCases":[{"title":"Choosing OCR tool for scanned research paper","prompt":"I've got a scanned PDF of a linear algebra textbook chapter full of equations — should I pay for Mathpix-style LaTeX extraction or is MinerU good enough? Run the math OCR decision procedure and tell me which to use and in what format."},{"title":"Setting re-extraction confidence thresholds","prompt":"My agent is processing hundreds of math homework screenshots and I need to know when OCR confidence is too low to trust and re-extraction is needed — can you fetch the decision procedure for math document OCR so I can configure the right thresholds?"},{"title":"Cost-accuracy tradeoff for equation-heavy PDFs","prompt":"We're batch-processing physics lecture notes PDFs and need to decide whether the cost of paid math OCR is justified over free LLM vision — get me the blunt decision procedure on cost versus accuracy for math-aware OCR extraction."}],"resultDescription":"A prose decision-procedure brief covering: when to pay for math-aware OCR vs use free/local alternatives, which output format to request (LaTeX, MathML, or markdown), confidence thresholds for accepting or triggering re-extraction, and a frank cost-versus-accuracy tradeoff assessment. Includes metadata fields: topic, service slug, generation source (llm/reasoning/deterministic), and ISO-8601 timestamp.","failureModes":["Payment not received — endpoint returns 402 requiring x402 micropayment before content is delivered","Invalid query parameter for topic override returns an error or falls back to default topic","Service temporarily unavailable on ascii.dev infrastructure — connection timeout or 5xx","Meta mode (meta=1) returns only free metadata JSON, not the full decision procedure brief"],"whenToPreferThis":"Use this endpoint when an AI agent needs a structured, opinionated decision framework for choosing between paid math-aware OCR services (Mathpix-style) and free/open-source alternatives (MinerU, LLM vision) for documents containing mathematical notation. Prefer this over general OCR guides when you need actionable thresholds and cost tradeoff rules rather than marketing comparisons.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-15T00:52:48.413Z","isFirstParty":false}