AI Demos Research — the structured-intelligence platform. Every verdict on these pages opens to the execution behind it.
Graded 8 November 2026

Can Anomaly AI show what people have been asking?

Anomaly AI showed the questions asked across two accounts and attributed them to the right account. The owner's usage view contained five insights for five questions: three from the owner and two from the member.

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.

Usage view across two accountsPassEvidence
What we sent

Input 1 · Owner account: “As of September 2, 2026, what's our total revenue in the last 30 days?”

Input 2 · Owner account: “What's our most common payment method?”

Input 3 · Owner account: “How many complaints have we received on social media this month?”

Input 4 · Member CodiumX: “How many customers currently have an active subscription?”

Input 5 · Member CodiumX: “What's our net promoter score for last quarter?”

What the tool returned

Response 1 answers Input 1.

Response 2 answers Input 2.

Response 3 answers Input 3.

Response 4 answers Input 4.

Response 5, the final response, answers Input 5.

Net promoter score cannot be calculated for last quarter (July–September 2026): the available data contains no recommendation survey ratings.

Transcribed from Proof 1 · Screen recording at 1:10

Every message the tool sent, in order (5)
  1. Answer

    Total booked revenue was $8,515.84 USD for August 4–September 2, 2026, inclusive

  2. Answer

    Card is the most common payment method, used for 162 orders (52.6% of all orders).

  3. Answer

    The number of social media complaints this month cannot be determined from the available data.

  4. Answer

    5 customers have a subscription recorded as active.

  5. Answer

    The final response, printed above.

Expected vs. Found
✓Expected: The questions appear with the account that asked each one, and their total matches the number asked.Found: Five insights appeared for five questions. In the owner's view, three were attributed to the owner and two to the member, consistent with who asked them.
Supporting proof
Proof 1Screen recording
Screen recording: two-account setup, chat sessions and the owner's Insights page
Key moments
Open original ↗
Why this result

The requirement was to show the questions with their account attribution, not to use a particular plan. The owner's usage view showed all five questions with the correct attribution, so the result is a pass.

Also observed in this test case

Trial workspace badge. The workspace switcher displayed a trial badge, while the plan used was Pro.

Questions appear as titles. The payment-method question appeared as an AI-generated insight title rather than the question as typed.

Attribution follows the viewer. The member's net promoter score insight was marked “Edited by you” in the member's view; the owner's view attributed it to the member.

Unavailable answers remain distinct. The social media complaints and net promoter score insights said the answers could not be determined, rather than reporting zero.

Tested by Ayush Ghosh · evidence dated 3 November 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
Anomaly AI
Build or version
Not exposed by the hosted product
Plan or tier
Pro
Surface
Web app
Set up before the run
Two accounts and an operator-facing usage view had to be available. The usage view was to be opened after questions had been run from both accounts.
Project sharing with the member
Can edit
Tested
3 November 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.

History of this result

What has happened to this result since it was first published. Runs and grades are never overwritten: a retest or a re-grade publishes a new result and keeps the earlier one readable.

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

Act on this result

Nothing filed here edits the run or the grade. A challenge opens a review, and a review can produce a new run or a re-grade — which becomes the current result and leaves this one in the history.

This matches what I see

You run the same kind of test against your own setup and get the same behaviour.

Agree →
This does not match

Yours behaves differently. Tell us what you got, with a screenshot if you have one.

Disagree →
Point out an issue

Something here is wrong — a reference value, a transcription, a grade.

Report an issue →
Request a retest

On a newer build, a larger dataset, or your own setup.

Request a retest →
We have fixed this

Tell us what changed and we schedule a rerun of the failing test case. The old result stays as history.

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/anomaly-ai/user-question-audit · 1 pass · 0 fail · coverage 1/1 · graded 2026-11-08

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.

File fingerprints (SHA-256)

A fingerprint identifies the exact file used for this result.

Proof 1 · Screen recording2895272ee7bc2598efe949a093e87f8b4b8562663956182b583800f585c82af7