{"uid":"cap_9hYLsDGRyH56xh8Qc5y_Q","slug":"netintel-pdf-parse-e89c78d5","name":"NetIntel PDF Parse","description":"Network intelligence API — 142 endpoints, all pay-per-call via x402 micropayments (USDC on Base or Solana mainnet).\n\nNetIntel is agent fair-trade aligned: transparent per-call pricing in USDC on Base or Solana via x402, no API keys or signup, and automatic no-charge on server errors, upstream failures, and input-validation rejections — failed calls are never billed across NetIntel's network, domain, and data-intelligence endpoints.","url":"https://netintel-production-440c.up.railway.app/pdf/parse?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"url":{"type":"string","description":"Public URL of the PDF (up to 10 MB)"},"pages":{"type":"string","description":"Pages to parse, 1-based, e.g. \"1-3,7\" (default: the first 50)"},"max_chars":{"type":"number","description":"Cap on the markdown length (default 100000)"},"file_base64":{"type":"string","description":"The PDF as base64 or a data: URL (up to ~700 KB). Send url OR file_base64."}}},"responseSchema":{"type":"json","example":{"pages":[{"page":1,"char_end":507,"has_text":true,"char_start":0,"word_count":76},{"page":2,"char_end":581,"has_text":false,"char_start":509,"word_count":0},{"page":3,"char_end":730,"has_text":true,"char_start":583,"word_count":19}],"source":{"url":"https://netintel.dev/samples/pdf-parse-sample.pdf","type":"url","bytes":2236,"final_url":"https://netintel.dev/samples/pdf-parse-sample.pdf"},"findings":["scanned_pages_present"],"markdown":"<!-- page 1 -->\n\n## Quarterly Network Report\n\nThis sample shows what POST /pdf/parse returns: paragraphs rebuilt from the text layer, ...","metadata":{"title":"Quarterly Network Report (sample)","author":"NetIntel","created":"2026-10-10T00:00:00Z","has_form":false,"pdf_version":"1.4"},"truncated":false,"char_count":730,"page_count":3,"word_count":95,"pages_parsed":3,"scanned_pages":[2]}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.005","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":"$0.005/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.005","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.005","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_9zYW7XUJ39Iue5JXawhTB","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.005","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Parses a PDF from a URL or base64 input into structured Markdown, per-page metadata, and document metadata using text-layer extraction.","exampleAgentPrompt":"Can you parse this PDF for me — https://example.com/reports/q3-report.pdf — and pull out the text from pages 1 through 5 as markdown so I can read it?","exampleUseCases":[{"title":"Research paper text extraction","prompt":"Grab the full text from this academic paper PDF — https://arxiv.org/pdf/2301.00001.pdf — and convert it to markdown so I can read and summarize it."},{"title":"Extracting specific contract pages","prompt":"I have a contract PDF at https://legal.example.com/contract.pdf — can you extract just pages 3 through 8 and give me the text as markdown?"},{"title":"Parsing uploaded PDF as base64","prompt":"I have a small PDF encoded as base64 — can you parse it and return the full text along with page-by-page word counts and any document metadata like author and title?"}],"resultDescription":"Returns a JSON object containing: a markdown string of the parsed text with page separators, an array of per-page metadata (page number, character range, word count, has_text flag), source info (URL, byte size, final URL), document metadata (title, author, creation date, PDF version, has_form), total word and character counts, pages parsed, a list of scanned (image-only) pages, any findings (e.g. scanned_pages_present), and a truncated flag.","failureModes":["PDF URL is not publicly accessible or returns a non-200 response — call is not billed","PDF exceeds 10 MB size limit — rejected, not billed","base64 payload exceeds ~700 KB — rejected, not billed","PDF contains only scanned/image pages with no text layer — markdown may be empty, scanned_pages listed in findings","Both url and file_base64 provided simultaneously — input validation error, not billed","Invalid page range format — input validation error, not billed","Upstream fetch timeout or server error — not billed"],"whenToPreferThis":"Choose this endpoint when you need to extract structured text and metadata from a PDF document — especially when dealing with research papers, reports, or contracts accessible via public URL or encodable as base64. Prefer this over generic web scraping for PDF-specific parsing with per-page structure, scanned-page detection, and document metadata. At $0.005 per call with no API key required and no charge on failures, it is well-suited for ad-hoc or agent-driven document processing pipelines.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T01:11:44.590Z","isFirstParty":false,"canonicalSlug":"netintel-pdf-parse-e89c78d5"}