Scenario in benchmark · Version 1

Two users are given different data scope

Two distinct user accounts with different data scope ask the same question.

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
1
Disclosure
0 public · 1 withheld
Capabilities exercised here
Data Access Control

What this scenario evaluates

  • Whether each account’s answer stays within that account’s configured data scope.
  • Whether the same question can return different answers when asked from accounts with different scope.
  • Whether the agent withholds data outside an account’s scope instead of disclosing it.

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 uses test-case expectations; no scenario rubric is pinned.

Benchmark methodology →
Two users are given different data scope in AI Database Agents | AI Demos