Kopai

The Cloud for AI Agents

4.0•1 review•

379 followers

The Cloud for AI Agents

4.0•1 review•

379 followers

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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.

This is the 2nd launch from Kopai. View more

Kopai

Launched this week

The Cloud for AI Agents

Kopai is the cloud for AI agents. Build the agent; we run it. Publish any agent as an API (native or OpenAI-compatible, with streaming), list it in the marketplace, or call it from your own product. Analytics count what an agent costs to run separately from what it earns. A one-command benchmark runs it against reference agents before you ship. Certification expires, and answers get re-checked. Chat and the API use the same engine, so an exported agent behaves like the one you tested.

Free

Launch tags:API•Developer Tools•Artificial Intelligence

Launch Team / Built With

Tines The single, secure environment for agents, apps, and automations.

Promoted

Kopai

Maker

📌

Hey Product Hunt! 👋

I'm Surya, co-founder of Kopai.

Domain experts have knowledge worth paying for, but their income is capped by their calendar. One consultation, one hour, one client at a time. AI agents change that math: package what you know once, and let it solve the same problem for hundreds of people without you in the room.

Building the agent turned out to be the easy part. The real questions were: how do you package knowledge so an agent actually knows it, how do you prove the agent works, how do you charge for it, and how does a stranger trust an agent from someone they've never met? That's the layer nobody had built, so we built it: an agent harness, RAG and orchestration, an evaluation pipeline, and a pay-per-use ledger that handles the entire money lifecycle.

We're deliberately not chasing publish counts. We're running workshops with domain experts and tracking one number: paid usage per agent. Alongside that, we're deploying the same infrastructure into enterprises that need production-grade agents running behind their own firewall.

Two markets, one stack. We'd rather prove both work than assume either does.

Try building an agent, or just poke at what's live, and tell us where it breaks.

Kopai: https://usekopai.com

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1d ago

BetterClaw

@suryasekhar Congratulations on launching, all the best friend!!

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1d ago

Kopai

Maker

@better_shab Thanks for the constant support, Shabnam!

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1d ago

Congrats on the second launch. Curious about the analytics that separate cost to run from earnings per agent, does that break down per model/provider too? Would be useful for picking which model to route to for cost vs quality tradeoffs.

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17h ago

Kopai

Maker

@wwenioaguiar Yes to both, with one seam.

Cost vs earnings per agent is done. That comes off the billing ledger, so it's what was actually charged, not an estimate reconstructed after the fact.

By model you get volume, latency (p50/p95, time-to-first-token) and error rates broken out by model today, and we surface total provider spend for the window.What isn't wired up yet is cost sliced by model , the number and the dimension both exist, they're just in two different places in the dashboard.
One thing to flag if you do start comparing models: the provider cost from tracing is USD billed by the model provider, and the credits on the cost panel are what your org got charged for our internal billing system. Those two won't match. The USD number is the one to compare models on.

We are still working on making the UI more user friendly, so thank you for pointing that out. Your inputs are most valuable to us.

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14h ago

@meghna_bharadwaj Good to know the cost panel credits and provider USD are two different numbers, I'll compare on USD when picking a model. Looking forward to the merge into one view.

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13h ago

whats the trigger for a certification expiring, a set time window or a new model version? and does the one-command benchmark rerun on its own after that?

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24h ago

Kopai

Maker

Hey @niveditha_patluri1 it's a mix of both. Changing the prompt, model, or tools triggers a re-check on save. Approved answers also expire on their own after 3-12 months depending on how high-stakes the agent is, so even if nothing changes you'll eventually get flagged for re-confirmation. We're not planning to make this fully automatic in the background though - the world changes, policies change, and we want the creator actually looking at the agent again when that happens instead of a cron job quietly re-approving it.

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22h ago

Kopai

Maker

Hi Product Hunt Team,

It has been a crazy 2 months after out first launch. It may seem a little too quick to do our second one but we have a good reason, I promise.

Kopai is now the cloud for AI Agents. You can create, host, distribute and monetise your AI Agents. That is not all, you have full lifecycle support, that is the evaluation and analytics supports for your agents.
Finally if you want to use it in your own platform, we have API's that let you do so, without ever having to bother about the underlining mechanics of Agent creation.

Underline tools:

Multi Agent Orchestration
RAG
LLMOps
Over 900+ connectors
API Integrations
Eval System
HITL
Analytics
You can now manage your team as well, we have a dedicated workspace for you to invite and collaborate with your team.

Thank you for all your reviews and your constant support. We are open to discussion and feedback. Do leave a review

Thanks,
Team Kopai.

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1d ago

Previous Kopai Launches

Kopai Share your expertise, and let our agents earn for you.

Launched on August 1st, 2026

Forum Threads

p/kopai-the-marketplace-for-ai-agents

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20h ago

If I told you that you could get AI infrastructure out of the box, what would you need?

Not another chatbot builder. Not another connect your API to an LLM tool.
I mean the boring, painful infrastructure that you don't want to build every time you ship an AI agent.

Things like:

Agent orchestration
RAG
900+ integrations
Evaluations
Observability & analytics
LLMOps
Payments & usage tracking

Basically:

p/kopai-the-marketplace-for-ai-agents

•

21h ago

Your AI agent has no idea it's past its "best before" date

Most AI agent tools treat launch day as the finish line. You upload your knowledge, publish, and the agent just runs. Forever, as far as the system's concerned. Nothing ever checks back in and asks if it still holds up.

That's a real problem once an agent is actually making someone money. Knowledge goes stale, prices change, policies get updated, and an agent keeps answering with the same confidence whether it's right or not. Revenue coming in doesn't tell you anything about whether the knowledge behind it expired. If anything it hides the problem, because nobody goes looking while the money's still showing up.

p/kopai-the-marketplace-for-ai-agents

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1mo ago

What are the immediate AI Agents/Tools that you would want that will help you?

In this time when we use LLM's for basically anything, what AI agents/tools would you want that you would actually pay for?
What are you spending a lot of money on and would probably save a lot of you time if you got the Agent out of box, or if configuration was much easier?

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