Scenario in benchmark · Version 1

Aggregate across documents

A request asks for a total over the extracted records from all source documents.

How the tools performed

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

Publication availability: 2 tools have a current published Result.

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
Published Results · alphabetical, not ranked
FutureSmart Document Intelligence
1 Pass0 Fail0 Not gradable
1 of 1 test case passed
1 of 1 assessed1 of 1 gradableView Result →
Landing AI
0 Pass1 Fail0 Not gradable
1 of 1 test case failed
1 of 1 assessed1 of 1 gradableView Result →
No published result · alphabetical
Datalab——No published result
Docsumo——No published result
Extend AI——No published result
LlamaParse——No published result
Nanonets——No published result
Reducto——No published result
Retab——No published result
Unstract——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
Querying

What this scenario evaluates

  • Whether it returns a total built from the extracted records from all source documents.
  • Whether the total depends on every document contributing to the aggregate.
  • Whether it avoids including any value that was not among the extracted records.
  • Whether it returns a refusal instead of the total.

Specific test-case inputs and grading live on the related test-case pages.

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 →
Aggregate across documents in Structured Document Extraction | AI Demos