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Apiosk Talk-to-PDF Q&A (URL)
x402
Apiosk Talk-to-PDF Q&A (URL) is a paid API for AI agents from gateway.apiosk.com, paid per call via x402, $0.0825/call, status unknown (last checked 2026-09-15).
Accepts a public PDF URL and a natural-language question, then returns a text answer extracted from the document's content.
Price / call$0.0825
Success—
StatusUnknown
How this service works
Submits a public PDF URL and a natural-language question, then returns a text answer based on the document content.
Output
A natural-language text answer derived from the content of the specified PDF document, directly responding to the submitted question.
Example use cases
Research paper fact extraction
“Here's a link to a research paper: https://arxiv.org/pdf/2401.00001.pdf — what methodology did the authors use for their experiment?”
Contract clause lookup
“I've got a contract at https://mysite.com/vendor-agreement.pdf — does it include any clause about early termination penalties?”
Financial report data retrieval
“Can you check this annual report PDF at https://investor.company.com/report2023.pdf and tell me what the net profit margin was for fiscal year 2023?”
Technical details
Endpoint
POSThttps://gateway.apiosk.com/apyhub-talk-to-pdf-api/extract/qna/ask/urlWhen to prefer
Use this endpoint when you have a publicly accessible PDF URL and need to answer a specific natural-language question about its contents without manually parsing or downloading the file. Prefer this over generic web scraping endpoints when the source is definitely a PDF, and over full-text extraction endpoints when you only need the answer to a specific question rather than the entire document text.
Side effects
- PDF URL is not publicly accessible or returns a 403/404 — no content to parse
- PDF is password-protected or encrypted — content cannot be extracted
- PDF is image-only/scanned without OCR text layer — question cannot be answered
- Question is unrelated to document content — may return empty or low-confidence answer
- Malformed or non-PDF URL provided — request rejected
- Large PDF documents may time out or return partial answers
Tags
x402
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