Autron's dashboards answer the common questions fast. For the ones they do not cover — long-tail search terms, an unusual date window, a comparison nobody built a report for — the agent can go to the underlying data and work it out.
What this is for
Autron's dashboards and metrics tools answer the common questions quickly because the data behind them is pre-aggregated. That aggregation is also their limit: it cannot answer raw-grain questions, unusual date windows, or long-tail search-term analysis.
For those, the agent can write and run a read-only SQL query against your own analytics database. You describe what you want to know; it writes the query.
When to reach for it
Long-tail search-term questions that a summary report rolls up.
Custom comparison windows that do not match a standard report period.
One-off questions nobody built a dashboard for.
For everyday performance questions, the normal metrics tools are faster — you do not need to ask for SQL by name.
Asking a good question
Describe the answer you want, not the query. "Which search terms spent more than £50 last month and never converted?" works better than trying to specify tables or columns. If the first answer is not quite the cut you meant, say so and ask again — refining in conversation is faster than getting it right first time.
Where it works
This is available to the agent in the Autron app and through the MCP connector in Claude or ChatGPT. See Use Autron with Claude AI.