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Vextorium Web Markdown Extractor
x402
Vextorium Web Markdown Extractor is a paid API for AI agents from api.vextorium.com, paid per call via x402, $0.0045/call, status unknown (last checked 2026-10-02).
Fetches any public web page or PDF by URL and returns its main content as clean, LLM-ready markdown plus metadata (title, description, author, date, language, canonical URL), with boilerplate removed.
Price / call$0.0045
Success—
StatusUnknown
How this service works
Read any public web page or PDF and get its main content as clean, LLM-ready markdown (headings, lists, links, tables, code) plus metadata: title, description, author, date, language, canonical URL. Menus, cookie banners and footers removed. Optional list of links. SSRF-safe fetching.
Output
Returns a JSON object with: markdown-formatted main content (headings, lists, tables, code, links), word count, character count, whether the content was truncated, the final resolved URL, content type, metadata object (title, description, canonical URL, language, site name, featured image), optional array of links found on the page, and any warnings encountered during fetch.
Example use cases
Research assistant reading news articles
“Pull the full article from https://techcrunch.com/2024/05/10/openai-latest-news/ and give me the clean markdown text with the title, author, and date — no ads or nav menus.”
PDF report ingestion for LLM pipeline
“Fetch this PDF at https://example.com/reports/annual-report-2023.pdf and return its content as markdown so I can feed it into my AI model — limit it to 50000 characters and include any links found in the document.”
Competitive intelligence scraping
“Read the page at https://competitor.com/pricing and extract just the main content as clean markdown — I need the headings, tables, and text but none of the cookie banners or footers.”
Technical details
Endpoint
POSThttps://api.vextorium.com/web-markdown-pago?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need clean, boilerplate-free markdown from any public web page or PDF, especially when feeding content into an LLM context window. It is preferable over raw HTTP fetching because it removes menus, footers, and cookie banners automatically, and over general-purpose scrapers because it outputs structured LLM-ready markdown with rich metadata in a single call. Best for article reading, document ingestion, and research pipelines where content quality and format matter.
Side effects
- URL is not publicly accessible or requires authentication — returns error or empty content
- SSRF-blocked URL (private IPs, localhost) — rejected by safety filter
- PDF parsing fails for scanned/image-only PDFs with no text layer
- Content too long and truncated at max_caracteres limit — recortado flag set to true
- Timeout on slow or unresponsive servers
- Paywalled content returns only teaser text
- Invalid URL format — returns validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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