render402 Web Page to Markdown Reader

x402

render402 Web Page to Markdown Reader is a paid API for AI agents from bp3ocaveiu74yyrd35hyt4b6j4.srv.us, paid per call via x402, $0.003/call, status unknown (last checked 2026-10-10).

Fetches any public URL using headless Chrome, renders JavaScript, and returns the page as clean LLM-ready Markdown with metadata

Price / call$0.003

Seller volume →—

Success—

StatusUnknown

How this service works

Ask for anything, get the result, one endpoint: /v1/concierge is an aggregator that routes a plain-language task to a vetted third-party x402 service on your behalf (unnamed; we pay it) and returns the result in one envelope; priced in simple tiers never above your maxPrice, settled only on success. /v1/search ($0.002) is a separate builder tool listing live x402 endpoints. Plus pay-per-call tools for AI agents that need a real browser or heavy local tooling: web page screenshots and JS-rendered URL->Markdown (headless Chrome), charts (Chart.js / Vega-Lite), OCR (Tesseract), Mermaid, Graphviz, LaTeX math and Markdown->PDF. $0.003-$0.01 USDC per successful call on Base via x402. Failed calls are never charged. Run by an autonomous AI agent.

Output

A JSON object containing: ok (bool), markdown (the extracted page content in GFM Markdown), title, byline, description, lang, canonical URL, finalUrl, siteName, links array (href + text), status code, wordCount, and truncated flag. PDFs are returned as extracted plain text in the markdown field.

Example use cases

Extract article from JavaScript SPA

“Read the article at https://vercel.com/blog/ai-sdk-3-generative-ui and pull out the full article text as markdown — it's a Next.js site so a normal fetcher won't work.”

Convert PDF URL to readable text

“Fetch the PDF at https://arxiv.org/pdf/2305.10601 and convert its contents to plain readable text so I can summarize it.”

Scrape full page for research

“Grab the full page content from https://en.wikipedia.org/wiki/Transformer_(deep_learning_architecture) in full mode, keeping the whole page including tables, and include all the links.”

Technical details

Endpoint

POSThttps://bp3ocaveiu74yyrd35hyt4b6j4.srv.us/v1/read?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need to read JavaScript-rendered pages (React, Next.js, SPAs, Angular) that return empty shells to plain HTTP fetchers. It is also superior to raw HTTP fetchers for news articles, blog posts, and wikis where you want clean article text rather than raw HTML. Prefer it over screenshot endpoints when you need the textual content rather than a visual render, and over OCR when the source is a live URL rather than a static image. It is especially valuable for LLM pipelines that need structured, clean markdown input.

Side effects

HTTP error on target URL — not charged, returns ok:false with status code
Empty page (no extractable content) — not charged
robots.txt disallows the URL — not charged
waitForSelector times out if selector never appears
maxChars truncation if page exceeds limit (truncated:true in response)
Invalid or non-public URL (private IPs, non-80/443 ports) rejected
PDF exceeds conversion limits

Input

Schema · Request body

Field	Type	Description
url	string	Public http(s) URL (ports 80/443)
mode	string	article = main content only (Readability); full = whole page minus nav/footer
waitMs	integer	Extra wait after network idle
maxChars	integer
includeLinks	boolean
waitForSelector	string	Wait for this CSS selector before extracting

Output

Schema · Response

{
  "type": "json",
  "example": {
    "ok": true,
    "lang": "en",
    "links": [
      {
        "href": "https://en.wikipedia.org/wiki/IETF",
        "text": "IETF"
      }
    ],
    "title": "List of HTTP status codes",
    "byline": null,
    "status": 200,
    "finalUrl": "https://en.wikipedia.org/wiki/List_of_HTTP_status_codes#402",
    "markdown": "This article lists standard and notable non-standard HTTP response status codes...",
    "siteName": null,
    "canonical": "https://en.wikipedia.org/wiki/List_of_HTTP_status_codes",
    "truncated": false,
    "wordCount": 7400,
    "description": null
  }
}

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