Airtop

Airtop belongs in the catalog because it tackles a real production problem in agentic stacks: giving AI systems reliable access to actual browser sessions without forcing every team to own the browser, session, and anti-friction layer itself. The official positioning centers on browser automation for AI agents, shared authentication, live views, and scraping-oriented workflows, which places Airtop below the application layer and closer to execution infrastructure. That is exactly where many modern stacks now need help. Building agent logic is one thing; getting it to work repeatedly against real websites is another.

Editorially, Airtop earns inclusion because the public pricing page is legible enough to evaluate. The official pricing currently shows a free tier, a self-serve Starter plan at $26 per month, a Professional plan at $80 per month, and an enterprise path for higher-volume or custom deployments. The plan structure is credit-based rather than seat-based, and it explicitly exposes concurrent-session ceilings and published-agent limits. That is useful because the buying question is not generic automation convenience. It is whether a team needs browser-native agent infrastructure that can be budgeted and scaled with some confidence.