Opening the Chat
You can launch the chat in two ways:- Click the chat icon (speech bubble) in the top bar of the left panel, next to the date range picker.
- Press Ctrl+K (Windows/Linux) or Cmd+K (Mac) from anywhere in the console.
Start Screen
A new chat opens with a prompt and a set of example questions to help you get started. The agent can query all data you have access to across your tenant. Click any example question to use it as your first message, or type your own question in the Ask the analytics graph box. Use Shift+Enter to insert a newline without submitting, and type/ to see available commands.
Model Selection
Click the MODEL indicator in the status bar at the bottom of the chat window to open the model configuration panel.Model Tab
The Model tab lists available models grouped by status. Each entry shows:
Click any model row to apply it to the current and future conversations.
The TASK MODEL shown at the bottom of the panel (e.g.
Anthropic: Claude Haiku 4.5 AUTO) is a smaller model used automatically for internal background tasks such as judging and extraction. It is separate from the main conversation model and does not change when you select a different model for chat.Provider & API Key Tab
The Provider & API key tab configures which AI provider and credentials back the chat. Select a Provider from the dropdown (e.g. Anthropic, OpenAI) and enter your API key. The key is stored on the Origin backend and shared across your tenant — the browser only ever sees whether one is configured, never the key itself. Click Apply to save.MCP Tab
The MCP tab connects remote MCP (Model Context Protocol) servers, exposing their tools to the chat agent. Available integrations include:OAuth tokens and API keys for MCP servers are stored in the browser only — they are not sent to the Origin backend. Connected integrations show a CONNECTED badge and a Disconnect button. Tools from connected servers become available to the agent on the next chat message.
Asking a Question
Type your question in the Ask the analytics graph box and press Enter to submit. The agent reasons over your question and runs one or more tools (e.g.analytics_query) against the live dataset. Results are returned as structured tables and/or clickable endpoint chips that link directly to the relevant endpoints in the dashboard.
Response Actions
Each agent response includes two actions:- ↓ PNG — save the response as an image.
- FORK — branch the conversation from that point to explore a different follow-up without losing the original thread.
Conversation Actions
The top-right toolbar of the chat window provides:- + — start a new conversation.
- ↓ PDF — export the full conversation as a PDF.
- ⤢ — expand the chat to full screen.
Status Bar
The status bar at the bottom of the chat window shows three indicators:Example Questions
Use these as starting points or adapt them to your own investigation:- Give me a list of endpoints and associated users who are actively using Claude Code in the past week
- Show me the top 10 tools used across the tenant in the last 7 days, with each tool’s share of total tool calls
- Plot daily prompt volume for the last 30 days with a 7-day rolling average overlay
- Find endpoints whose prompt volume today is ≥1.5× their 7-day baseline mean
- Group the last 28 days of prompts by weekday and show me the Mon–Sun pattern
- Build me a canvas with the model usage breakdown, latency by provider, and a daily token trend