FOR PRODUCT TEAMS
Give every user an expert inside your product
Embed an agent that answers questions, runs queries, and completes tasks right where users get stuck. Ships with React components. No backend required.
how it works
Connect your sources
Connect 30+ sources: help centers, GitHub code, wikis, PDFs, and SDKs.
Embed in your product
Drop in ready-made components, or go headless with hooks.
Let it take action
Give the agent tools to query data, run workflows, and create resources.
“Kapa started as an agent on our documentation. Now it's the interface layer between Port and everyone - customers, internal teams, even AI agents calling our API.”
Matan Grady, Produt Directoe
Create an agent that resolves, not just responds
Try Kapa with your technical content
Test and evaluate Kapa for free
Go live in less than 7 days
SOC 2 Type II & GDPR compliant
What insight does Kapa give my product team into what users are asking and where they get stuck?
Every conversation a user has with your agent is persisted and becomes a direct signal into user intent and friction. Kapa automatically enriches each conversation with intent tags and your own custom tags, so you can slice questions by product area, feature, or use case. The Top Questions view clusters common questions into themes to show what users care about most, while Coverage Gaps surfaces topics where the agent repeatedly could not give a conclusive answer. That combination turns raw questions into roadmap signal, helping you see which features confuse users and which gaps to close with each release. You can review all of this in-app or export it to CSV for deeper analysis.
How does Kapa support in-product help and drive adoption?
You embed an agent directly inside your application as a sidebar, panel, or full-page chat that answers "How do I" questions using your documentation, code, and help center. Because the agent meets users at the moment they get stuck, it reduces drop-off during onboarding, configuration, and feature discovery instead of sending them away to search docs. Beyond answering, agents can execute custom tools to run queries, inspect entities, and walk users through guided workflows, so help becomes action inside the product. The Kapa Agent SDK ships ready-made React components and headless hooks, with built-in knowledge base search and no backend to build or maintain. This lets your team launch in-product help in days rather than waiting on a roadmap slot.
How accurate are the answers, and can users trust where they come from?
Kapa grounds answers in your own connected sources rather than relying on a model's general knowledge, which keeps responses tied to your real product. Answers include citations back to the underlying documentation so users and your team can verify the source. When the agent is not confident, it returns an uncertain response rather than guessing, and those uncertain answers feed directly into Coverage Gaps so you can fix the underlying content. You stay in control of the experience through tools and guardrails: you can scope an agent to the right product or version using source groups, keep it on-message, and require human approval before it takes any action a user can see. This balance of grounding, citations, and guardrails is what makes the agent safe to put in front of customers.
What does it take to set up and maintain, and how much engineering effort is involved?
You point the agent at your sources by connecting from a library of 30 or more source types, including help centers, GitHub code, wikis, PDFs, and SDKs. For in-product help, the Agent SDK provides streaming chat components or headless hooks, with tools executing client-side using the user's own auth context, so there is no backend to build. Most other surfaces are one-click or a small embed snippet, and the API and SDKs give full control when you want a custom interface. Teams typically go live in days, and many surfaces can be live in under seven days. If you already run your own agent framework, you can instead connect it to your Kapa knowledge base through a hosted MCP server.
How does Kapa handle data privacy and security for in-product deployments?
Kapa is SOC 2 Type II certified and GDPR compliant, which matters when an agent runs inside your product and touches user questions. It offers configurable PII protection on both incoming user messages and crawled knowledge sources, detecting types such as full names, email addresses, phone numbers, credit card numbers, IBANs, and IP addresses, plus custom entities defined by regex for things like API keys. When PII is detected, it is redacted or substituted and the original data is permanently discarded rather than stored or surfaced in answers. Usage can be tracked anonymously by default or tied to an email or custom ID, so you decide how much user identity is captured. You can review the full details and certifications in the Kapa.ai Trust Center and security documentation.