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AgentReady — Agent-Readable Webpage Text Extraction
x402
AgentReady — Agent-Readable Webpage Text Extraction is a paid API for AI agents from agentready-audit.seshiccse023.chatgpt.site, paid per call via x402, $0.005/call, status unknown (last checked 2026-09-15).
Fetches a public webpage and returns its content as clean, token-efficient plain text or Markdown suitable for AI agent consumption.
Price / call$0.005
Success—
StatusUnknown
How this service works
Free website triage plus x402 audits, Base USDC receipt verification, robots-aware URL preflight, agent-readable extraction, metadata, and copy-ready AI-discovery fixes.
Output
Returns a JSON object containing the extracted page content as plain text or Markdown, along with structured metadata including the page title, description, language, word count, character count, a list of headings with their levels, a list of links, the final resolved URL after redirects, the extraction timestamp, a truncation flag, and a content warning flag indicating the content is untrusted/user-generated.
Example use cases
Summarize competitor blog post
“Grab the full text from https://www.rival.com/blog/product-launch and extract it as plain text so I can summarize their key points.”
Feed webpage into LLM context
“Convert the content at https://docs.openai.com/guides/agents into clean markdown so I can feed it into my prompt without all the HTML clutter.”
Audit page metadata and structure
“Extract the text, title, headings, and links from https://mybusiness.com/about so I can review what information the page actually contains.”
Technical details
Endpoint
GEThttps://agentready-audit.seshiccse023.chatgpt.site/api/extract/agent-textWhen to prefer
Choose this endpoint when you need to feed a public webpage's readable content into an AI agent or LLM context without dealing with raw HTML. It is particularly useful when you need structured metadata (title, headings, links) alongside the text, when token efficiency matters, or when you want robots-aware preflight checking built in. Prefer this over raw HTTP fetching when you need clean, agent-consumable output in either plain text or Markdown format from a single URL.
Side effects
- Invalid or malformed URL returns a validation error
- Private, paywalled, or bot-blocked pages may return empty or partial content
- Pages with JavaScript-rendered content may not be fully extracted
- Very large pages may be truncated (truncated: true in response)
- Network timeouts if the target URL is slow or unreachable
- robots.txt restrictions may cause preflight rejection before extraction
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"url": "https://example.com/",
"text": "Example Domain\nThis domain is for use in illustrative examples.",
"links": [],
"title": "Example Domain",
"finalUrl": "https://example.com/",
"headings": [
{
"text": "Example Domain",
"level": 1
}
],
"language": "en",
"truncated": false,
"wordCount": 28,
"description": null,
"extractedAt": "2026-08-09T00:00:00.000Z",
"characterCount": 180
}
}Tags
x402
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