AgentRead API - Web Content Extractor

x402

AgentRead API - Web Content Extractor is a paid API for AI agents from agentread.omar-cv.workers.dev, paid per call via x402, $0.003/call, status unknown (last checked 2026-10-30).

Fetches and converts any public web page into clean Markdown text optimized for AI agent consumption, billed per successful extraction via x402 micropayment.

Price / call$0.003

Seller volume →—

Success—

StatusUnknown

How this service works

Clean web content for AI agents, paid per request via x402. Paid endpoints return HTTP 402 with x402 v2 payment requirements; retry with a `PAYMENT-SIGNATURE` header produced by an x402 client (e.g. @x402/fetch). Only successful extractions are settled.

Output

A JSON object containing the page title, the final resolved URL (after redirects), clean Markdown-formatted body text, a description if available, and extraction metadata including word count, character count, content type, fetch duration in milliseconds, HTTP status code, bytes fetched, and whether the output was truncated. Returns schemaVersion 1.0.

Example use cases

News article summarization pipeline

“Pull the readable text from https://www.reuters.com/technology/artificial-intelligence/2024-01-20/ai-regulation-update/ as clean Markdown — include links and cap it at 30000 characters — so I can summarize it.”

Competitor product page monitoring

“Grab the content from https://www.competitor.com/pricing as clean Markdown, strip out the links so it's plain text, and keep it under 10000 characters so I can compare their pricing tiers.”

Research paper reading for agent

“Fetch https://arxiv.org/abs/2401.00001 and give me the full readable Markdown text — keep all links and let it go up to 100000 characters — I need the complete paper content for my research agent.”

Technical details

Endpoint

POSThttps://agentread.omar-cv.workers.dev/v1/extract?utm_source=zero.xyz

When to prefer

Choose AgentRead when you need clean, AI-readable Markdown from any arbitrary public URL with pay-per-use pricing (no subscription), especially in agent pipelines where you only pay for successful extractions. Prefer this over browser automation tools when you need lightweight text extraction without JavaScript rendering overhead, and over general scraping APIs when you want Markdown output with metadata like word counts and redirect tracking built in.

Side effects

URL is not publicly accessible or requires authentication — extraction fails with error
URL uses non-default ports or IP literals — rejected by input validation
Requested URL returns a non-HTML content type that cannot be converted to Markdown
Payment signature missing or invalid — HTTP 402 returned with x402 payment requirements; must retry with valid PAYMENT-SIGNATURE header
maxCharacters below 100 or above 100000 — validation error
URL exceeds 2048 characters — rejected
Page loads but extraction produces no meaningful content — empty or near-empty Markdown returned

Input

Schema · Request body

Field	Type	Description
url	string	Absolute public http:// or https:// URL. Default ports only; no credentials; no IP literals.
includeLinks	boolean	Keep hyperlinks and images in the Markdown (default true). When false, link text is kept as plain text.
maxCharacters	integer	Maximum Markdown characters to return (default 20000, max 100000).

Output

Schema · Response

{
  "type": "json",
  "example": {
    "title": "Example Domain",
    "finalUrl": "https://example.com/",
    "headings": [],
    "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.",
    "operation": "extract_url",
    "truncated": false,
    "extraction": {
      "words": 25,
      "method": "lite",
      "charset": "utf-8",
      "warnings": [],
      "redirects": 0,
      "characters": 156,
      "durationMs": 140,
      "statusCode": 200,
      "contentType": "text/html",
      "bytesFetched": 577,
      "totalCharacters": 156
    },
    "description": null,
    "requestedUrl": "https://example.com/",
    "schemaVersion": "1.0"
  }
}

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