Kopai
The Cloud for AI Agents
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Kopai - The Cloud for AI Agents

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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.

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Maker
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Hey Product Hunt! 👋

I'm Surya, co-founder of .

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:

 Congratulations on launching, all the best friend!!

Maker

 Thanks for the constant support, Shabnam!

Maker

Hi Product Hunt Family,

Thank you for upvoting our product on launch day and making our launch memorable. It was exhausting not gonna lie but your feedbacks and wishes are always worth it.

These are some tools found on the Kopai marketplace. These have been created by domain experts in their field. We're running workshops with domain experts to bring some of that knowledge to you.

  1. SEON —
    It solves not knowing why your SEO isn't working for small business owners and solo marketers by reading your real Search Console/Analytics data and prioritizing fixes.

  2. CTO —
    It solves shipping unreviewed code for solo founders and small teams by reviewing it the way a senior engineer who has to maintain it would.

  3. Client Hunter —
    It solves not knowing where your first customers are for early-stage founders by mapping where your ideal customers gather and building a reach plan.

  4. Pipeline Killer —
    It solves stale pipeline triage for sales reps by reading CRM data each morning and flagging at-risk deals and overdue follow-ups.

  5. Contract Risk Reviewer —
    It solves signing contracts without counsel for founders and ops people by flagging risky clauses in plain language.

  6. The Assistant —
    It solves messy vendor/purchasing management for companies without a procurement function by acting as an AI procurement agent.

  7. Hr recuritment —
    It solves resume-screening overload for recruiters by matching resumes to job profiles and surfacing candidate contact details.

  8. CompareCraft —
    It solves biased "best of" content for buyers by pulling evidence from docs, GitHub, and reviews into sourced comparison tables and charts.

  9. Demand Lab —
    It solves building things nobody pays for, for founders, by designing cheap tests that validate demand first.

  10. Requirements Engineer —
    It solves vague product asks for dev teams by turning stakeholder needs into clear, testable requirements.

    Please try them out and do leave a review.

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.

Maker

 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.

 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.

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:

  1. Multi Agent Orchestration

  2. RAG

  3. LLMOps

  4. Over 900+ connectors

  5. API Integrations

  6. Eval System

  7. HITL

  8. 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.

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?

Maker

Hey  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.