Institutional knowledge doesn’t just live in docs. It lives in conversations across Teams, Slack, and other chat platforms.
AI agents and enterprise search tools need access to that context to be useful. But chat data is fragmented, hard to query, and nearly impossible to integrate at scale with the right freshness and permissions.
Today, that changes. We’re introducing Merge’s Chat Unified API: a normalized interface across chat platforms that gives modern AI applications real-time access to conversational knowledge with enterprise-grade access controls.
Here’s more on how Chat Unified API works.
Building direct integrations with chat platforms is deceptively complex. Each system has its own rate limits, ways of handling conversation threading, and permissioning, differences that compound quickly as you scale.
Our Chat Unified API eliminates these technical challenges. It abstracts away the underlying complexity and provides you with five core object types designed for efficiency and scale:
In an enterprise environment, “who can see what” is critical to corporate governance and security.
Our access control list (ACL) model is designed for efficiency, particularly in large public channels that might have thousands of members.
With Merge’s new Chat Unified API, you are enabling access to your customers’ institutional memory.
The Merge Chat Unified API initially supports Microsoft Teams integration, but this is just the beginning. Slack is already on our roadmap and we’ll prioritize others based on customer demand.
We’re also looking ahead to our next major release, where we plan to introduce webhooks for real-time updates and an attachment common model for file syncing.
Important conversations are no longer scattered in inaccessible channels, DMs, or old archives. Now they can be turned into context that powers knowledge at scale, securely for you/your customers.
Interested in joining our Chat Unified API Closed Beta? Contact our team to request more information.