{"uid":"cap_zQs9D5cs1SrU_9keCW8sq","slug":"vextorium-pdf-table-extractor-812afebf","name":"Vextorium PDF Table Extractor","description":"558 pay-per-call data APIs for AI agents: Solana and EVM on-chain data, tokenized stocks, DeFi, Hyperliquid, economy and official statistics, FX, validation, web and developer tools. Pay in USDC via x402.","url":"https://api.vextorium.com/v1/pdf-tables?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"url":{"type":"string"},"limit":{"type":"integer"},"pages":{"type":"string","description":"e.g. 1-3,7"}}},"responseSchema":{"type":"json","example":{"detail":[{"page":6,"rows":[{"col1":"Year I","Item A":"112.500","Item B":"225.000","Item C":"110.000"},{"col1":"Year II","Item A":"121.500","Item B":"243.000","Item C":"128.000"}],"columns":["col1","Item A"]}],"tables":1}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.006","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":"$0.006/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.006","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.006","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_0Qlcci0K_qwHZ7x4k-4eV","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.006","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Extracts structured tabular data from a PDF document at a given URL, returning rows and column headers per page.","exampleAgentPrompt":"Can you extract all the tables from this PDF report at https://example.com/annual-report.pdf, specifically pages 4-6, and give me the data as structured rows and columns?","exampleUseCases":[{"title":"Financial report table extraction","prompt":"Pull out all the tables from this SEC filing PDF at https://investor.company.com/filing.pdf — I need the rows and columns from pages 1-5 as structured data."},{"title":"Government statistics PDF parsing","prompt":"There's a government statistics PDF at https://stats.gov/data/2023-economy.pdf — can you extract the tables from pages 2 and 7 so I can work with the numbers?"},{"title":"Research paper data extraction","prompt":"Extract the comparison tables from this academic paper PDF at https://journal.org/paper.pdf, limit it to the first 10 rows per table so I can see the structure quickly."}],"resultDescription":"A JSON object containing a list of tables found in the PDF, each with its page number, an array of column header names, and an array of row objects keyed by column name. Also includes a top-level count of total tables found.","failureModes":["PDF URL is inaccessible or requires authentication — request fails or returns an error","PDF contains only image-based (scanned) tables with no extractable text — returns empty or no tables","Invalid page range format causes a parsing error","PDF is malformed or password-protected — extraction fails","Rate limit or payment failure via x402 USDC micropayment — request rejected"],"whenToPreferThis":"Use this endpoint when you need to programmatically extract structured tabular data from a PDF available at a public URL, especially for financial reports, government statistics, or research documents. It returns clean row/column JSON rather than raw text, making it ideal for downstream data processing. Prefer this over generic PDF-to-text converters when the goal is specifically table data in a structured format.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:43:59.197Z","isFirstParty":false,"canonicalSlug":"vextorium-pdf-table-extractor-61e707e1"}