I built Karon.
A lot of "AI agent infrastructure" feels backwards to me: lots of abstraction, lots of demos, and not much that actually helps an agent reach a real page on the live web.
So I built something simpler: an API that fetches pages that normal HTTP clients often fail to reach, plus an agent-friendly endpoint that returns clean markdown/text instead of raw HTML.
The basic flow is:
- The first request clears the WAF challenge (3–10s)
- Session state gets cached
- Subsequent requests to the same site reuse the session (~45ms)
-
/v1/agent/browsereturns cleaned content for agent workflows
What I wanted was not a "platform" pitch, just infrastructure that is immediately usable.
Available now:
- Free tier
- No credit card
- Failed requests are free
- Google sign-in for self-serve API keys
- MCP package for agent workflows:
pip install karon-mcp -
/v1/agent/browsefor markdown / text extraction
Examples:
Raw HTML:
curl -X POST https://api.karonlabs.net/v1/fetch \
-H "Authorization: Bearer YOUR_KEY" \
-H "Content-Type: application/json" \
-d '{"url":"https://www.nike.com"}'
Clean markdown for agent workflows:
curl -X POST https://api.karonlabs.net/v1/agent/browse \
-H "Authorization: Bearer YOUR_KEY" \
-H "Content-Type: application/json" \
-d '{"url":"https://www.nike.com","extract":"markdown"}'
MCP (Claude / Cursor — no install needed, uvx handles it):
{
"mcpServers": {
"karon": {
"command": "uvx",
"args": ["karon-mcp"],
"env": { "KARON_API_KEY": "YOUR_KEY" }
}
}
}
A few boundaries:
- Ticketing, login automation, financial sites, and similar abuse-heavy categories are blocked by default
- Rate limits are per key
- Content is not stored beyond cache TTL
Links:
- Docs: https://api.karonlabs.net/docs
- Sign up: https://api.karonlabs.net/auth/google
- MCP package: https://pypi.org/project/karon-mcp/
- AUP: https://karonlabs.net/aup.html
Happy to answer questions about caching, agent integration, where it works well, and where it breaks.
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