Kopai turns your expertise into an AI agent you can sell, priced per message instead of per hour. Upload your knowledge, publish in minutes with no code, and let people pay for instant answers instead of booking your calendar. You keep 70% of everything your agent earns. Built-in evaluation testing, encrypted knowledge bases, and multi-agent orchestration mean it's not a prompt wrapper, it's real infrastructure. We handle discovery, billing, and trust so you can focus on what you know.
the marketplace angle is what got me, being able to try out an agent someone else built and pay per message instead of committing to a subscription for something I'm not sure will be good. the eval/liability gating on published agents is more thought through than I expected for something this early
What needs improvement
the transparency on whether an embedded agent updates live vs a frozen snapshot could be clearer up front, and I'd like to see more published agents in some of the more technical categories, still thin outside a few popular ones
vs Alternatives
looked at just building my own custom GPT or using a generic agent builder, but everything felt like it needed way more setup for a one-off use case. kopai's pay-per-message model made trying a few different specialist agents low risk
Hey Omri, thanks for actually building something and being specific about what worked, that's more useful to us than a star rating alone.
On the eval gate, I appreciate you noticing that, it's been our main focus. Every agent gets scored across dimensions (system prompt quality, scope adherence, safety, plus KB/tool accuracy where relevant) before it can publish, and any edit re-triggers the check, so it's not publish-once-and-hope. The passing threshold is 70/100 and it's visible in the builder next to the per-dimension breakdown, not a black box.
About live vs frozen snapshot, it pulls the current published version, not a snapshot frozen at embed time. So when you update the agent, anyone who's embedded it sees the update too. Fair callout that this wasn't clear up front, we'll get it stated explicitly wherever embed is set up.
On technical categories being thin; Fair, and it tracks who's found us first, mostly consulting, coaching, and finance backgrounds. Getting devops/infra/security folks publishing is next, if you know anyone in that world sitting on knowledge worth packaging, send them our way!
Kopai
Hey Omri, thanks for actually building something and being specific about what worked, that's more useful to us than a star rating alone.
On the eval gate, I appreciate you noticing that, it's been our main focus. Every agent gets scored across dimensions (system prompt quality, scope adherence, safety, plus KB/tool accuracy where relevant) before it can publish, and any edit re-triggers the check, so it's not publish-once-and-hope. The passing threshold is 70/100 and it's visible in the builder next to the per-dimension breakdown, not a black box.
About live vs frozen snapshot, it pulls the current published version, not a snapshot frozen at embed time. So when you update the agent, anyone who's embedded it sees the update too. Fair callout that this wasn't clear up front, we'll get it stated explicitly wherever embed is set up.
On technical categories being thin; Fair, and it tracks who's found us first, mostly consulting, coaching, and finance backgrounds. Getting devops/infra/security folks publishing is next, if you know anyone in that world sitting on knowledge worth packaging, send them our way!