Back to Cube

Analytics Chat

docs-mintlify/docs/explore-analyze/analytics-chat.mdx

1.6.503.1 KB
Original Source

Analytics Chat is Cube's conversational analytics experience — ask questions in plain language and get trusted, AI-powered insights without writing queries or building visualizations.

How it works

The AI agent interprets your questions, generates queries against your semantic model, and presents findings in natural language. The agent can create multiple queries to answer complex questions and perform ad hoc analysis while maintaining full data governance through your semantic layer.

Key features

  • Natural language queries – Ask questions in plain language without knowing SQL
  • Multi-query reasoning – The AI creates and synthesizes multiple queries for complex questions
  • Semantic model integration – All queries run against your semantic model with proper access control and security
  • Queued messages – Send follow-up messages while the agent is still processing
  • Save to Workbook – Export insights to Workbooks for further analysis

Queued messages

You can send follow-up messages while the AI agent is still processing a previous request. These messages are queued and processed in order once the agent completes its current task.

This allows you to:

  • Refine your question before the agent finishes, if you realize you want to adjust the scope or add constraints
  • Queue multiple questions to ask a series of related questions without waiting for each response
  • Provide additional context to give the agent more information that it can incorporate into its next response

Sharing

Click Share in the chat header to grant view access to other members of your account. You can pick individual users, a user group, or flip General access to Organization to make the chat visible to everyone. Use the Copy link button next to Share to grab a direct URL once access is set up. Recipients still need to have access to the deployment and the data the agent used; otherwise they'll see a "Chat not available" page.

<Frame> </Frame>

Recipients open the chat at the same URL as the owner and can scroll through the full conversation, expand the agent's reasoning and tool calls, and explore the charts and tables it produced — but they can't send new messages. Only the owner can continue the thread, and the header shows a "Shared by …" label so viewers always know whose conversation they're reading.

If the owner asks more questions later, those messages — and the agent's replies — show up for viewers on the next load.

Embedding

Analytics Chat can be embedded into your applications for customer-facing analytics, internal tools, or white-label solutions.

Learn more