An AI that can't read the live page answers from memory. UnblockingAPI fetches public pages the way a browser sees them - rendered, unblocked and ready to use - so your agents, RAG pipelines and LLM apps work from what is actually there.
500 free credits · No credit card · Open-source MCP server
"Read these 10 pages and tell me which ones changed since yesterday."
You
What does the Aurora jacket cost at north-storefront.example right now?
Tool call
unblock_fetch("north-storefront.example/aurora-jacket")
Rendered page
Price $137.19 · In stock · 4.6 rating
Agent
It's $137.19 and in stock, straight from the live page.
The page is fetched and rendered fresh on every call.
Common ways teams give their models live web access.
Give an agent a fetch tool that returns the page as a browser sees it - over MCP for Claude, Cursor, VS Code and Zed, or over the API for your own agent code.
Re-fetch the public pages behind your retrieval index on a schedule, so answers come from current content instead of last quarter's crawl.
Fetch the page a question is about and answer from it, so the response can point back to a source you can check.
Let an agent read a list of public pages - documentation, pricing, listings, news - and summarise what it found.
Re-fetch pages on a schedule and have the agent flag what changed, instead of re-reading everything by hand.
Turn a page into clean JSON with a visual-editor template, so the model gets the fields you chose rather than a wall of HTML.
And what changes when it can read the page.
The page builds itself with JavaScript.
The agent gets the rendered page, not an empty shell - so it reads the real content instead of guessing at it.
The site refuses automated tools.
Fetch it through a real browser instead of telling the user "I can't access that site".
Someone asks about today.
Answer from the live page, not from training data that stopped months ago.
Your retrieval index goes stale.
Re-fetch the sources on a schedule so what the model retrieves matches what is on the page now.
Building it yourself means maintaining all of this:
Plug UnblockingAPI into Claude, Cursor, VS Code or Zed over MCP in a couple of minutes. Building your own agent? Follow the guide to give your AI app live web data, or see how JavaScript-rendered pages work.
Yes. The open-source MCP server plugs into Claude Code, Claude Desktop, Cursor, VS Code and Zed, so the assistant can fetch rendered pages through your API key. For your own agents, call the API directly.
It gives the model the actual page to work from, which is the best defence against answers invented from stale or missing data. It doesn't guarantee a correct answer - you still decide what the model does with the page.
The core API returns the fully rendered page and your code (or the model) reads it. If you want specific fields as JSON, build a template in the visual editor - tap what you want on the page and it returns clean JSON on every call.
No. UnblockingAPI is built for fetching specific public pages for live, per-request use - agents, retrieval and monitoring. Use it within our Acceptable Use Policy and the terms of the sites you fetch.
Tracking what changed on specific pages? See the competitor research use case, or search result pages for feeding live results to a model.
unblock_fetch hands back the full rendered page. For clean fields instead - a price, a title, a whole list - build a template visually in the editor: load the page, tap what you want, done. No CSS selectors to write by hand.
Save it and it's a reusable API endpoint - same account, same key, same as the built-in templates. Build the structure once, then call it from your app - or your AI agent - forever.
Try the editorNo account needed to try it · No credit card · More about the editor
Select one item. Similar items are detected automatically.
Website
Sony WH-1000XM5
$299.99
Bose QuietComfort
$249.00
Bang & Olufsen Beoplay
$1,714.99
Extracted JSON
Tap one item, get every item - as an array.
Test a public page now or talk to us about a difficult target. We'll help you find the right rendering, routing and request strategy.
UnblockingAPI is built for public web data and responsible use. Site-specific success depends on the target page, region, rendering mode and anti-bot behavior.