Scenario in benchmark · Version 1

The answer is available in the connected data

Whether the question can be answered from the connected data and the agent returns the correct result when it can.

How the tools performed

Every in-scope tool is visible. Outcomes come from current published Results for this scenario and benchmark version.

No published results for this scenario yet.

No published result does not tell you whether a tool has been tested. Test coverage is shown only for comparable published Results.

ToolPublished outcomesTest coverageResult
No published result · alphabetical
AI for Database——No published result
Anomaly AI——No published result
AskYourDatabase——No published result
Basedash——No published result
BlazeSQL——No published result
camelAI——No published result
Definite——No published result
Dot——No published result
Draxlr——No published result
FutureSmart Database Agent——No published result
Querio——No published result

Assessed = Pass + Fail + Not gradable. Gradable = Pass + Fail. Both use the published Result’s pinned-test denominator. — means not publicly available.

Test design

Pinned test cases
4
Disclosure
0 public · 4 withheld
Capabilities exercised here
Question Answering

What this scenario evaluates

  • Whether the agent answers from the connected data when the information is available.
  • Whether the reply matches the correct result supported by the data.
  • Whether the agent stays grounded in the database rather than guessing or inventing an answer.

Exact wording, inputs, fixture state, expected output and detailed grading remain at the test-case level and may be withheld while the benchmark version is active. The scenario and its evaluation intent are public.

How the results are graded

  • Pass: the test-case expectations hold.
  • Fail: an expectation demonstrably does not hold.
  • Not gradable: the evidence cannot establish the outcome.

Version 1 pins a scenario rubric for this scenario.

Benchmark methodology →
The answer is available in the connected data in AI Database Agents | AI Demos