Who it's for
Teams building autonomous or assisted agents that need to reach pages an API does not expose: research, navigation, authenticated tasks, and human handoff.
Agent web access
Give agents real access to the live web
Let your agent research, navigate, sign in, and act on real pages — with a browser that behaves like a real user.
What fails without it
A plain HTTP client returns empty shells for JavaScript-rendered pages, gets blocked on protected surfaces, and cannot log in or click. A local headless browser is easy to detect and hard to run at scale. Agents then stall on exactly the pages that matter.
How BrowserCity solves it
The flow
- Connect your agent to the MCP server or call the Humanized REST actions directly.
- The agent opens a high-fidelity stealth session, navigates, and reads the page as markdown.
- It acts — clicks, fills forms, or hands off to a human — then closes the session.
Start from a template
Copy a runnable pattern and adapt it to your target.
Cost
Agent sessions are usually short but frequent. Cost is driven by how many tasks you run, not how complex each one is. Model task volume and average session length in the pricing calculator.
Estimate your usage →Boundaries
Agents should be scoped to the sites a task actually needs, and only used where the target’s terms permit automated access. BrowserCity keeps no retained session-content logs by default.
Explore specific use cases
[ 08 / 08 ] — Get Started
Give your AI agents the web.
We're in private beta — request access and we'll get you set up. Private sessions by default.