x402 Reader – Web Page to Markdown Extractor

Name: x402 Reader – Web Page to Markdown Extractor
Price: 0.002 USD

x402

x402 Reader – Web Page to Markdown Extractor is a paid API for AI agents from reader.outbid.sh, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-02).

Fetches any public web URL and returns its main content as clean Markdown, billed at $0.002 USDC per call via the x402 micropayment protocol

Price / call$0.002

Seller volume →—

Success—

StatusUnknown

How this service works

Read any ordinary public web page as clean Markdown for $0.005 USDC per call over x402.

Output

A JSON object containing: the extracted page content as Markdown (`markdown`/`content`), the page `title`, `word_count`, `final_url` (after any redirects), `requested_url`, `fetched_at` timestamp, `origin_status` code, `origin_content_type`, byte size of the original body, SHA-256 hashes of both the markdown and the original HTML body, and the `extractor_version` used. The `ok` boolean indicates success.

Example use cases

LLM context enrichment from URL

“I've got this URL — https://www.wired.com/story/ai-regulation-2024/ — can you pull the article text as clean markdown and feed it into your context so we can discuss it?”

Research assistant reading pipeline

“Fetch the content from https://en.wikipedia.org/wiki/Transformer_(machine_learning_model) and return it as markdown so I can summarize the key sections.”

Daily news digest automation

“Every morning, grab the lead story from https://www.bbc.com/news and convert it to clean markdown so I can read a distraction-free summary.”

Technical details

Endpoint

GEThttps://reader.outbid.sh/content/extract?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need to programmatically read any public web page as clean, LLM-friendly Markdown without managing headless browsers or scraping infrastructure. It is ideal for one-off URL reads, agent pipelines that need to ingest web content, or any workflow where $0.002 per page is acceptable and the content is publicly accessible HTML. Prefer it over raw HTTP fetches when you want readability-style content extraction (ads and boilerplate stripped) and a structured JSON response with metadata like word count and content hashes.

Side effects

URL is not publicly accessible or requires authentication — origin_status will reflect the HTTP error (403, 401, etc.)
URL points to a non-HTML resource (PDF, binary) — extraction may return empty or partial content
Target site blocks scrapers or returns bot-detection pages — markdown may contain anti-bot messaging instead of article content
Malformed or non-HTTP(S) URL provided — request validation fails before fetch
Target site is slow or times out — call may return an error or partial result
Paywalled content returns only the teaser/preview rather than the full article

Input

Schema · Request body

Field	Type	Description
inputrequired	object
output	object

Output

Schema · Response

{
  "type": "json",
  "example": {
    "ok": true,
    "title": "Example article",
    "content": "# Example article",
    "markdown": "# Example article",
    "final_url": "https://example.com/article",
    "fetched_at": "2026-09-13T00:00:00.000Z",
    "word_count": 2,
    "origin_status": 200,
    "requested_url": "https://example.com/article",
    "markdown_sha256": "1111111111111111111111111111111111111111111111111111111111111111",
    "extractor_version": "x402-reader.readability-markdown.v1",
    "origin_body_bytes": 1234,
    "origin_body_sha256": "0000000000000000000000000000000000000000000000000000000000000000",
    "origin_content_type": "text/html; charset=utf-8"
  }
}

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How this service works

Read any ordinary public web page as clean Markdown for $0.005 USDC per call over x402.

Output

Example use cases

LLM context enrichment from URL

“I've got this URL — https://www.wired.com/story/ai-regulation-2024/ — can you pull the article text as clean markdown and feed it into your context so we can discuss it?”

Research assistant reading pipeline

“Fetch the content from https://en.wikipedia.org/wiki/Transformer_(machine_learning_model) and return it as markdown so I can summarize the key sections.”

Daily news digest automation

“Every morning, grab the lead story from https://www.bbc.com/news and convert it to clean markdown so I can read a distraction-free summary.”

Technical details

Endpoint

GEThttps://reader.outbid.sh/content/extract?utm_source=zero.xyz

When to prefer

Side effects

URL is not publicly accessible or requires authentication — origin_status will reflect the HTTP error (403, 401, etc.)
URL points to a non-HTML resource (PDF, binary) — extraction may return empty or partial content
Target site blocks scrapers or returns bot-detection pages — markdown may contain anti-bot messaging instead of article content
Malformed or non-HTTP(S) URL provided — request validation fails before fetch
Target site is slow or times out — call may return an error or partial result
Paywalled content returns only the teaser/preview rather than the full article

Input

Schema · Request body

Field	Type	Description
inputrequired	object
output	object

Output

Schema · Response

{
  "type": "json",
  "example": {
    "ok": true,
    "title": "Example article",
    "content": "# Example article",
    "markdown": "# Example article",
    "final_url": "https://example.com/article",
    "fetched_at": "2026-09-13T00:00:00.000Z",
    "word_count": 2,
    "origin_status": 200,
    "requested_url": "https://example.com/article",
    "markdown_sha256": "1111111111111111111111111111111111111111111111111111111111111111",
    "extractor_version": "x402-reader.readability-markdown.v1",
    "origin_body_bytes": 1234,
    "origin_body_sha256": "0000000000000000000000000000000000000000000000000000000000000000",
    "origin_content_type": "text/html; charset=utf-8"
  }
}