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Graded 27 October 2026

Does Draxlr assemble several findings into one coherent report?

Draxlr passed this request to gather several findings in one place. It gave the three direct answers, then combined them into one report without changing the values; the saved report reopened with the same single row.

1 of 1 test case passed

Every test case in this scenario has a result.

Pass rate100%1 of 1 gradable
Coverage1 of 1test case with a result
1PassDid everything it was expected to do.
0FailNo test case failed.
0Not gradableEvery result here could be graded.
0UntestedEvery test case in this scenario has a result.
The pass rate is a summary. The evidence is the test case below: what we sent, what we checked, what the tool returned, and the proof.

The test case

Each test case is judged on its own: Pass, Fail, Not gradable, or Untested. The scenario result above is based on this test case.

Three findings assembled into one artifactPassEvidence
What we sent

Input 1: “As of September 2, 2026, what was our total revenue last month?”

Input 2: “Order total_amount”

Input 3: “What's our best-selling product category?”

Input 4: “What's our current cancellation rate?”

Input 5: “Orders”

Input 6: “Put all of that together into one report.”

What the tool returned

Response 1 answers Input 1.

Response 2 answers Input 2.

Response 3 answers Input 3.

Response 4 is the query the tool generated for Input 3; it is not part of the answer.

Response 5 answers Input 4.

Response 6 answers Input 5.

Response 7, the final response, answers Input 6.

Response 8 is the query the tool generated for Input 6; it is not part of the answer.

Revenue for August 1–31, 2026 was $14,403.87. • Best-selling product category all time: bedding and rugs with 140 units sold. • All-time order cancellation rate: 21.75%.

Transcribed from Proof 3 · Screen recording at 0:38

Every message the tool sent, in order (8)
  1. Response to input 1

    Which revenue source should I total for last month?

  2. Response to input 2

    Total order revenue was $14,403.87. This covers August 1–31, 2026, and includes all order statuses.

  3. Response to input 3 (message 1 of 2)

    Your best-selling product category is bedding and rugs with 140 units sold. Best-selling is based on total units sold across all time.

  4. Generated query for input 3 · not part of the answer
    SELECT
      p.category AS product_category,
      SUM(oi.quantity) AS total_units_sold
    FROM public.order_items oi
    JOIN public.products p ON oi.product_id = p.id
    GROUP BY p.category
    ORDER BY total_units_sold DESC
    LIMIT 1
  5. Response to input 4

    Which cancellation rate do you mean?

  6. Response to input 5

    The current order cancellation rate is 21.75%. This covers all time.

  7. Final response

    The final response, printed above.

  8. Generated query for input 6 · not part of the answer
    WITH revenue_last_month AS (
      SELECT
        COALESCE(SUM(o.total_amount), 0) AS total_revenue_last_month
      FROM public.orders o
      WHERE o.placed_at >= TIMESTAMPTZ '2026-08-01 00:00:00+00'
        AND o.placed_at < TIMESTAMPTZ '2026-09-01 00:00:00+00'
    ), best_selling_category AS (
      SELECT
        p.category::text AS best_selling_product_category,
        SUM(oi.quantity) AS units_sold
      FROM public.order_items oi
      JOIN public.products p ON p.id = oi.product_id
      GROUP BY p.category
      ORDER BY SUM(oi.quantity) DESC
      LIMIT 1
    ), order_cancellation_rate AS (
      SELECT
        ROUND(
          (COUNT(*) FILTER (WHERE o.status::text ILIKE 'cancel%')::NUMERIC / NULLIF(COUNT(*)::NUMERIC, 0)) * 100,
          2
        ) AS cancellation_rate_percent
      FROM public.orders o
    )
    SELECT
      r.total_revenue_last_month,
      b.best_selling_product_category,
      b.units_sold,
      c.cancellation_rate_percent
    FROM revenue_last_month r
    CROSS JOIN best_selling_category b
    CROSS JOIN order_cancellation_rate c
Expected vs. Found
✓Expected: One report with all three findings, still matching the direct answers.Found: The combined report kept all three values the same, and the reopened saved report showed the same single row.
Supporting proof
Proof 1Screenshot
Chat screenshot: revenue question and source options
Open original ↗
Proof 2Screenshot
Chat screenshot: cancellation question and rate options
Open original ↗
Proof 3Screen recording
Screen recording: three answers and the saved report
Key moments
Open original ↗
Why this result

It passes because the combined report preserves the three direct answers and the saved report reopens with the same single row, so nothing was dropped or changed.

Also observed in this test case

Asked before choosing. For the ambiguous revenue and cancellation questions, the product asked which option was meant instead of selecting one itself.

Different windows. The combined report shows one metric for August 1–31, 2026 and the other two as all time.

Recomputed result. The combined query rebuilds the three measures and joins them into one result.

Reopened report. The saved report reopened on its own page and re-ran in 27 ms.

Tested by Ayush Ghosh · evidence dated 27 October 2026

Configuration and setup

How this tool was set up for the run and what the test needed in place. Each row is a fact from the run's records; a fact the records do not hold is left out, not guessed.

Software that produced the output
Draxlr
Build or version
Not exposed by the hosted product
Plan or tier
Premium
Model
gpt-5.5-1
Surface
Web app
Set up before the run
The measures had to be related but distinct, and each needed its own reference answer.
Database connection
Customer support DB
Train AI
Train AI was empty; no standing rule was active.
Tested
27 October 2026 · Ayush Ghosh

How this scenario is graded

How we decide Pass, Fail and Not gradable. The same rules apply to every tool tested on this scenario.

How results are decided

Each test case gets one result per tool: Pass, Fail or Not gradable. A test case we haven't run yet shows Untested. There are no partial results.

The rules
  • Pass: the tool did everything the test expected, and nothing it said contradicts the correct answer.
  • Fail: at least one expected behaviour clearly didn't happen; the test case's result says which one and quotes the tool.
  • Not gradable: our evidence couldn't settle the outcome (for example a record we needed is missing). It is never counted as a fail, and the test case's result says what's missing.

Where this sits in the benchmark

This page is one cell of a larger study: one tool, one scenario. Only this benchmark's frame appears here.

LevelNameScope
BenchmarkAI Database Agents →28 scenarios · 11 tools
CapabilityReporting →
ScenarioThe user wants several findings in one place →
ToolDraxlr →

History of this result

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from the publication record
7 November 2026First publishedAI Database Agents v1

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This matches what I see

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Vendor notice →
Filed against this evidenceNothing yet. Challenges, counter-evidence and fix notices appear here with their outcome, and stay on the page after they are resolved.
Cite this result
aidemos.com/benchmarks/ai-database-agents/results/draxlr/the-user-wants-several-findings-in-one-place · 1 pass · 0 fail · coverage 1/1 · graded 2026-10-27

The same record is available as structured data through the AI Demos MCP server, with the counts, the coverage and every per-test-case reason carried as fields.

Verify the proof files

These files support this result. Open a file to inspect the original evidence.

Proof 1 · Screenshot ↗image/png · 24 KB
Proof 2 · Screenshot ↗image/png · 16 KB
File fingerprints (SHA-256)

A fingerprint identifies the exact file used for this result.

Proof 1 · Screenshotbfddb20f6e8d062692390854d903fae69cd3f2de76244038d04a5ec3769b28a9
Proof 2 · Screenshot341d481b029ab5087f24d1f97664fc58944f3ae7e9a6836c1c637762237d4792
Proof 3 · Screen recording09e92260224aa73df10a0f5baa228fe5a5e20d5e202d6b8a87869150d452243c