
Hyperbrowser supplies cloud browsers, isolated compute, and web data for developers building AI agents. An application can control a browser, run code in a sandbox, or request structured page data through one platform. It suits workflows that need live websites and executable environments alongside a language model.
Browsers, sandboxes, web APIs, and agents share a credit balance. Developers can choose direct browser control for a scripted workflow or managed agent execution for a task described in words. Those routes have different billing meters, so a browser-hour rate alone does not describe a complete agent run.
Connect existing automation code to a hosted browser and reuse cookies and logins between runs. Watch sessions live or replay recordings to understand where navigation or extraction failed. Node.js and Python SDKs, a CLI, and MCP provide several ways to connect.
Sandboxes can install dependencies, execute commands, expose services, and save their environment as a memory snapshot. The web API returns formats such as Markdown, HTML, screenshots, or schema-shaped JSON. Choose the output needed by the next step rather than collecting every format.
Evaluate the platform on a representative website and a task you can check. Compare extracted fields, completion time, session recovery, and the combined credit cost. Successful examples do not guarantee that every site or multi-step instruction will work reliably.
Browser time costs $0.10/hour and proxy data $10/GB at standard rates. Agent steps and sandbox resources add separate charges. Unused plan credits do not roll over.
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