Does FutureSmart Database Agent give a summary and detail together?
FutureSmart Database Agent passes this scenario. It gave the August total (USD 20,253.47) and broke it down by all seven product categories in a paged table and a bar chart.
1 of 1 test case passed
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Headline figure plus its breakdownPassEvidence
“As of September 2, 2026, how did our revenue do last month, and what drove it?”
Revenue Overview for August 2026 (last month) Total net revenue (excluding refunds): USD 20,253.47 All revenue is reported in USD as the orders table only returned that currency for the period. What drove the revenue? The revenue is concentrated in a few product categories. The top three categories together account for about 65% of the month's revenue. Key insight: The outdoor & patio segment is the single biggest revenue driver, contributing roughly 28% of total August revenue, followed by storage & organization and lighting. Together, these three categories generate the majority of sales, indicating strong customer interest in outdoor living and home organization products during the month. If you need a deeper dive--such as trends over multiple months, average order values, or performance by sub-category--just let me know!
Transcribed from Proof 1 · Screenshot
Every message the tool sent, in order (2)
- Final response
Revenue Overview for August 2026 (last month) Total net revenue (excluding refunds): USD 20,253.47 All revenue is reported in USD as the orders table only returned that currency for the period. What drove the revenue? The revenue is concentrated in a few product categories. The top three categories together account for about 65% of the month's revenue. Key insight: The outdoor & patio segment is the single biggest revenue driver, contributing roughly 28% of total August revenue, followed by storage & organization and lighting. Together, these three categories generate the majority of sales, indicating strong customer interest in outdoor living and home organization products during the month. If you need a deeper dive--such as trends over multiple months, average order values, or performance by sub-category--just let me know!
- Generated query · not part of the answer
SELECT o.category, o.currency, SUM(o.total_amount) AS revenue FROM orders o WHERE o.placed_at >= '2026-08-01 00:00:00+00' AND o.placed_at < '2026-09-01 00:00:00+00' AND o.refunded_at IS NULL GROUP BY o.category, o.currency ORDER BY revenue DESC
| ✓ | Expected: Gives the overall figure and the breakdown, each in the right form.Found: It stated the total revenue and added seven-category detail in a table and bar chart, with a named top driver. |
The request needed one answer to pair the total with its breakdown. It did: the answer stated the August revenue total, then gave category detail in both table and chart, with the chart showing all seven categories and the table paging through them.
Refunds excluded. The answer defines revenue as excluding refunds.
Paged breakdown. The table is paged, and the chart shows the remaining categories.
The chart labels round most categories to one decimal in thousands, so exact values come from the table.
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Where this sits in the benchmark
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| Level | Name | Scope |
|---|---|---|
| Benchmark | AI Database Agents → | 28 scenarios · 11 tools |
| Capability | Answer Presentation → | |
| Scenario | The answer needs a summary and its detail together → | |
| Tool | FutureSmart Database Agent → |
Global scenario definition → · Global capability definition → · FutureSmart Database Agent product page →
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