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WebRead
x402
WebRead is a paid API for AI agents from api.youraitools.co, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-27).
Fetches any public web page and returns its content as clean Markdown, with metadata like title, links, status, and word count
Price / call$0.002
Success—
StatusUnknown
How this service works
URL to Markdown API for AI agents. Converts a public web page into clean Markdown for LLMs and RAG pipelines: main content only (no nav, ads or scripts), absolute links, plus title, description and language metadata. Suited to AI agents that read, cite or summarize web pages. Respects robots.txt; only successful reads are charged. Search intents: url to markdown, web page to markdown api, web scraper for llm, html to markdown, read web page api, extract article text.
Output
A JSON object containing the page's Markdown-converted text content along with metadata: page title, detected language, HTTP status code, final URL after redirects, number of redirects, word count, character count, link count, content type, fetch latency in milliseconds, fetch timestamp, robots.txt status, truncation flag, canonical URL, and a short description if present in the page meta tags.
Example use cases
Research article content extraction
“Go read the article at https://techcrunch.com/2024/05/01/openai-news and pull out the full readable text so I can summarize it.”
Monitor competitor landing page
“Fetch the content of https://competitor.com/pricing and return it as Markdown so I can see what their current pricing page says.”
Agent reading documentation
“Read the page at https://docs.anthropic.com/claude/reference/getting-started and give me the full text — limit it to 50000 characters.”
Technical details
Endpoint
GEThttps://api.youraitools.co/webread/v1/read?utm_source=zero.xyzWhen to prefer
Use WebRead when an AI agent needs to access and read the text content of any public web page on demand, especially when you need clean Markdown output suitable for LLM consumption. It is ideal for single-page reads where you need structured metadata (status, title, word count, redirect chain) alongside the content. Prefer this over generic HTTP tools when you want automatic HTML-to-Markdown conversion with truncation control and pay-per-call pricing via USDC on Base or Solana.
Side effects
- URL is not publicly accessible or requires authentication — returns non-200 status
- URL points to a non-HTML resource (e.g. binary file, PDF) — may return empty or garbled Markdown
- Page blocks bots via robots.txt — robots field will indicate 'disallowed'
- Network timeout or unreachable host — fetch error returned
- maxChars below 100 or above 200000 — validation error
- Malformed or non-absolute URL provided — required field validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"url": "https://example.com/",
"lang": "en",
"chars": 156,
"links": 0,
"title": "Example Domain",
"robots": "allowed",
"status": 200,
"fetchMs": 17,
"finalUrl": "https://example.com/",
"markdown": "This domain is for use in documentation examples without needing permission. This is not a service; avoid relying on it for testing and monitoring purposes.",
"canonical": null,
"fetchedAt": "2026-10-21T21:32:28.690Z",
"redirects": 0,
"truncated": false,
"wordCount": 25,
"contentType": "text/html; charset=utf-8",
"description": null,
"sourceBytes": 577
}
}Tags
x402
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