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paid-md Web Page to Markdown Converter
x402
paid-md Web Page to Markdown Converter is a paid API for AI agents from paid-md.hihat.workers.dev, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-30).
Fetches any public web page URL and returns clean, LLM-ready Markdown with boilerplate, ads, and navigation stripped away
Price / call$0.002
Success—
StatusUnknown
How this service works
Read any public web page as clean, LLM-ready Markdown. URL to markdown web scraper: fetches the page, strips navigation, ads, scripts, cookie banners and boilerplate, keeps the main content with headings, lists, links and tables. Use it to read, quote or summarise an article, docs page, blog post, product page or GitHub issue from a URL. Typically 90-99% fewer tokens than raw HTML; token counts returned in headers.
Output
Returns the main article or page content as clean Markdown text (text/markdown content type), with all navigation, ads, cookie banners, scripts, and boilerplate removed. Response headers include x-tokens-in (input token count), x-tokens-out (output token count), and x-saved-pct (percentage of tokens saved vs raw HTML). Typically 90-99% fewer tokens than the raw HTML source.
Example use cases
Reading a documentation page for context
“Pull the content from https://react.dev/learn/hooks-overview as clean markdown — I want to read through it without all the sidebar and nav getting in the way.”
Summarizing a news article
“Fetch https://www.theverge.com/2024/5/1/some-article-slug and convert it to markdown so I can summarize the main points without wrestling with HTML.”
Quoting a GitHub issue in a report
“Get the text from https://github.com/vercel/next.js/issues/12345 as clean markdown so I can quote the key details in my bug report.”
Technical details
Endpoint
GEThttps://paid-md.hihat.workers.dev/md?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to feed web page content to an LLM and want clean, token-efficient Markdown rather than raw HTML. Ideal for reading articles, documentation pages, blog posts, product pages, or GitHub issues where the signal-to-noise ratio of raw HTML is poor. Prefer this over generic HTTP fetch when token efficiency matters, or when boilerplate removal is critical for downstream LLM tasks. The built-in token count headers make it easy to budget context window usage.
Side effects
- URL is not publicly accessible or requires authentication — returns error
- Page is JavaScript-rendered SPA with no static HTML content — may return empty or minimal markdown
- Invalid or malformed URL — returns 400 bad request
- Rate limit exceeded on free tier — requires USDC micropayment via x402 protocol
- Target server is down or times out — returns upstream error
- URL points to a binary file (PDF, image) rather than an HTML page — may fail or return unexpected content
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| outputrequired | object |
Tags
x402
Reviews
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