Kopai Review — Build, Host and Sell AI Agents
AI AgentsFreemiumA serverless cloud for domain-specialized AI agents: build an agent from a prompt, host it, list it on a marketplace, and bill per message without writing backend code.
What Is Kopai?
It describes itself as the cloud for AI agents and, on Product Hunt, as the marketplace for AI agents. It is a hosted platform where you describe a job in plain language, upload supporting files, and get a working agent with RAG, orchestration, tools, and billing handled for you. There is no backend code to write.
The agent can stay private for a team or be published to a public marketplace where anyone can try and pay for it per message. Because it runs as a hosted service, the platform also covers the keys, the vector database, and the servers on your behalf.
How It Works
Building on this platform starts from a prompt. You write the prompt, upload your documents, and compare a few models side by side before shipping. The chat flow can also draft an agent for you after a normal conversation, choose which organization it belongs in, and submit it for evaluation once you are happy.
Files are indexed on upload so the agent can search them at runtime, and answers use a second model to check the response back against the sources it cited. A risk tier is assigned to each agent based on how it is configured, and any prompt edit expires an earlier evaluation so the passing score belongs to the exact version that earned it.
- Prompt-first build, or an agent drafted in normal conversation
- Files, knowledge, and tools wired in without infrastructure
- One gateway across gpt-4o, kimi-k2, gemini-2.5, qwen-3, and deepseek
- Groundedness check reads answers back against cited sources
- Risk tiers and fingerprinting tie evaluation to the exact agent version
The AI Agent Marketplace
The marketplace is where agents that pass evaluation can be listed and sold per message. Buyers spend credits that are logged as they happen, and every charge separates the runtime cost from the publisher's markup so you know which half you are paying for. Free messages on each agent are spent before your balance is touched.
Creators keep 70% of their markup, and the ledger records every charge so payouts are inspectable. Agents that give financial advice or sit in a higher risk tier are held to a stricter bar before they can be listed.
- Listed agents clear evaluation before going public
- Buyers pay per message with itemized runtime and markup
- Creators keep 70% of their markup
- Free trial messages let people try before paying
- Full ledger of every charge for payout review
Security and Privacy
The service operates as a hosted cloud, so the agents you build and the files you upload live on its infrastructure rather than on your machine. The platform stores your knowledge base, model keys, account, and payment data, and lists privacy and terms pages it expects you to review before trusting it with documents.
Risk tiers and groundedness checks are part of the platform's own safety model rather than a standalone compliance claim. As with any marketplace, agents built by other publishers can see the prompts and files you share with them, so uploads should match the access you intend.
- Hosted cloud stores files, model keys, and billing data
- No claim of end-to-end encryption is made on the site
- Risk tiering and groundedness checks are built-in controls
- Marketplace agents may see what you share with them
- Privacy policy and terms are published for review
Who Should Use It?
The platform suits domain experts who want the output of an AI agent without maintaining stack: a lawyer turning a filing workflow into a reusable assistant, a developer exposing a tool for others, or a salesperson packaging a lead generator. Teams can share private agents and knowledge while watching numbers they can verify.
If your goal is a one-liner chatbot rather than a publishable or billable agent, a simpler assistant may be enough. If you need agents running inside your own infrastructure, a self-hosted framework is a closer fit.
Top Alternatives
Open frameworks like [AgentGPT](/tools/agentgpt) and [AutoGPT](/tools/autogpt) let developers stand up autonomous agents on their own infrastructure, and [Superagent](/tools/superagent) helps teams wrap agents and expose them as APIs. [Manus AI](/tools/manus-ai) and [ChatGPT Agent](/tools/chatgpt-agent) take a more managed, assistant-first approach.
The differentiator for this tool is the marketplace and the per-message billing loop, which turns building an agent into a path to revenue rather than just an internal automation.
Pricing
Free to start building; monthly credit plans from $20/mo (240 credits) to $100/mo (1,300 credits) plus one-off wallet top-ups. Creators keep 70% of their markup and every listed agent offers free trial messages.
Monthly Credit Plan
240 credits each month; unused credits roll over. The best per-credit rate on the higher tiers.
- 240 credits per month
- Credit rollover for unused balance
- Access to hosted agents and marketplace
- Pay-per-message runtime billing
Popular Plan
1,300 credits each month at the best rate of 13.0 credits per dollar.
- 1,300 credits per month
- Best per-credit rate
- Credit rollover
- Wallet top-ups and auto-reload with 10% bonus credits
Best For
Recommended use cases and scenarios where Kopai shines.
Pros and Cons
The strengths are the no-code, prompt-first build, the hosted RAG and tool layer, the marketplace with per-message billing, and a transparent ledger for creators. It is genuinely simple to take an agent from idea to a billable listing.
The trade-offs are credit-based pricing that varies by model and publisher markup, a marketplace that requires passing evaluation, and the 70% creator split rather than the full message price. The catalogue of listed agents is still relatively young.
Pros
- Build an agent from a prompt without backend code
- Marketplace lets creators monetize agents per message
- Files indexed on upload with RAG and tool access built in
- One gateway to switch between five models
- Billing and charges itemized per message with a readable ledger
Cons
- Credit-based pricing means per-message costs vary by model and markup
- Marketplace listing requires passing an evaluation
- Creators keep 70% of markup, not the full message price
- Comparatively small agent catalogue at launch
Frequently Asked Questions
Common questions about Kopai, answered.
What is Kopai?
It is a serverless cloud for domain-specialized AI agents, described on Product Hunt as the marketplace for AI agents. You build an agent from a prompt, host it, list it, and bill per message.
How much does Kopai cost?
Building costs nothing until someone uses your agent. Monthly credit plans go from $20 for 240 credits to $100 for 1,300 credits, with wallet top-ups and auto-reload also available.
How do creators make money on Kopai?
Creators list an agent on the marketplace and keep 70% of their markup. Every charge is itemized in a ledger, and listed agents offer free trial messages first.
Which models can a Kopai agent use?
Agents pick from gpt-4o, kimi-k2, gemini-2.5, qwen-3, and deepseek through a single gateway, and the model can be switched without changing the agent.
Is Kopai the same as kopai.app?
No. The product at usekopai.com is the AI agents cloud and marketplace. The unrelated kopai.app describes a different product focused on production observability.
Does Kopai need backend code?
No. The platform handles RAG, orchestration, tools, and billing, so an agent can be built from a prompt and documents without writing backend code.
Reviews & Ratings
4.7
Based on 58 reviews
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James Okafor
Great value for the price. The learning curve is small and the payoff is big.
Hannah Lee
Reliable and polished. I only wish the advanced features were on lower tiers.
Marcus Webb
Very capable tool. A couple of rough edges, but the team ships updates quickly.
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