name	revenue-explorer
description	Summarise revenue, order count, and average order value over the demo orders_demo table, optionally grouped by day/week/month. Triggers on revenue, AOV, and order-trend questions over the demo dataset.

Revenue Explorer

Answer revenue questions over the bundled synthetic orders_demo table — no SQL required.

Discover the shape: agnes schema orders_demo to confirm columns (order_id, customer_id, order_date, amount).
For a total or trend, run agnes query "SELECT date_trunc('month', order_date) AS period, sum(amount) AS revenue, count(*) AS orders FROM orders_demo GROUP BY 1 ORDER BY 1".
For average order value, divide revenue by order count or use avg(amount).
Report the result as a short table plus a one-line takeaway.

Everything runs locally against the demo data — there is no cost or production risk.

name	revenue-explorer
description	Summarise revenue, order count, and average order value over the demo orders_demo table, optionally grouped by day/week/month. Triggers on revenue, AOV, and order-trend questions over the demo dataset.

Answer revenue questions over the bundled synthetic orders_demo table — no SQL required.

Discover the shape: agnes schema orders_demo to confirm columns (order_id, customer_id, order_date, amount).
For a total or trend, run agnes query "SELECT date_trunc('month', order_date) AS period, sum(amount) AS revenue, count(*) AS orders FROM orders_demo GROUP BY 1 ORDER BY 1".
For average order value, divide revenue by order count or use avg(amount).
Report the result as a short table plus a one-line takeaway.

Everything runs locally against the demo data — there is no cost or production risk.

revenue-explorer