Best Proxy for AI Agents and Browser Automation: What Actually Matters at Production Scale

Picking a proxy for AI agents and browser automation is not the same decision as picking one for manual scraping. Agents run continuously, retry on failure, and often hit the same targets hundreds or thousands of times per session. That changes the cost structure, the reliability requirements, and the type of IP supply that actually holds up.

Here is what to evaluate, and why the answer differs from standard scraping advice.

Why residential IPs are the baseline requirement

Data center IPs get blocked faster than residential ones on virtually every target that runs anti-bot defenses. For browser automation specifically — Playwright, Puppeteer, Selenium — the fingerprint check happens at the IP layer before any JS challenge fires. A data center IP fails at step one on most modern targets. Residential IPs sourced from real devices carry legitimate ASN metadata that passes the first filter. This is not a marginal difference; it is the difference between a 15% success rate and a 70%+ one on hardened targets.

For AI agents the bar is higher still. An agent that retries on failure compounds cost at the proxy layer. If each retry burns a fresh request against a per-GB or per-credit pricing model, a 40% failure rate does not cost 40% more — it costs proportionally more on every retry chain in the run. The proxy you pick directly affects your total compute and data cost per successful task completion, not just the line item marked "proxies."

Rotating vs. sticky sessions for automation workflows

Default rotating endpoints assign a fresh IP per request. That works well for bulk data collection where each URL is independent. Browser automation is different. A login flow, a multi-step form, or a checkout sequence requires session continuity — the same IP for the duration of the interaction. If the IP rotates mid-session, the target sees a session from two different geographic endpoints and terminates it.

Sticky sessions solve this. You reserve the same IP for a defined window by passing a session ID in the proxy credentials. The practical range that covers most automation flows is 10 to 30 minutes. Shorter windows create gaps mid-workflow; longer windows are rarely necessary unless you are maintaining persistent logged-in state across very long agent runs.