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URL Structured Analysis API
x402
URL Structured Analysis API is a paid API for AI agents from url-structured-analysis-api.temirlan18myrzagalie.chatgpt.site, paid per call via x402, $0.001/call, status unknown (last checked 2026-09-15).
Fetches and deterministically analyzes a public web page URL, returning an extractive summary, key points, useful facts, conclusion, and risk flags.
Price / call$0.001
Success—
StatusUnknown
How this service works
Paid x402 API for deterministic, extractive analysis of public web pages.
Output
A JSON object containing: a concise extractive 'summary' of the page, a 'key_points' array of the main points stated on the page, a 'useful_facts' array including page title and concrete facts found in content, a 'conclusion' drawn solely from the fetched page, and a 'risks' array flagging caveats such as time-sensitivity or unverified claims.
Example use cases
Due diligence on a company page
“Analyze https://startup-xyz.com/about and give me the key facts, a summary of what they claim to do, and flag anything that looks risky or time-sensitive.”
Research briefing from a news article
“I found this article at https://reuters.com/some-news-story — can you extract the main points, useful facts, and a conclusion so I can include them in my briefing?”
Fact-check a competitor's claims page
“Pull up https://competitor.com/features and give me a structured analysis — what are their key claims, any facts I can verify, and what conclusions can I draw from just what's on that page?”
Technical details
Endpoint
POSThttps://url-structured-analysis-api.temirlan18myrzagalie.chatgpt.site/v1/analyzeWhen to prefer
Choose this endpoint when you need a deterministic, extractive analysis of a specific public web page — not generative paraphrasing or AI-hallucinated content. Ideal when you want structured output (summary, key points, facts, conclusion, risks) grounded strictly in what the page actually says. Prefer it over generic LLM summarization when auditability and fidelity to source matter, and over full web scrapers when you need pre-structured, risk-annotated output rather than raw HTML.
Side effects
- URL is not publicly accessible (private, paywalled, or requires authentication) — analysis fails or returns incomplete content
- URL is malformed or non-HTTP/HTTPS — validation error returned
- Page returns non-HTML content (PDF, binary file) — may fail to extract meaningful text
- Page content is dynamically rendered via JavaScript — may only capture static HTML shell
- Network timeout or unreachable host — request fails with error
- Claims may be time-sensitive and risks array will flag this but not auto-resolve it
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| url | string | Public HTTP or HTTPS web page to analyze |
Output
Schema · Response
{
"type": "json",
"example": {
"risks": [
"Claims may be time-sensitive; verify before relying on them."
],
"summary": "A concise extractive summary of the page.",
"conclusion": "A short conclusion based only on the fetched page.",
"key_points": [
"The main point stated by the page."
],
"useful_facts": [
"Page title and concrete facts found in the content."
]
}
}Tags
x402
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