Scenario in benchmark · Version 1

Corrected data goes downstream

After a record is corrected, a later downstream read shows the corrected value.

How the tools performed

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

Publication availability: 3 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
0 Pass1 Fail0 Not gradable
1 of 1 test case failed
1 of 1 assessed1 of 1 gradableView Result →
LlamaParse
0 Pass1 Fail0 Not gradable
1 of 1 test case failed
1 of 1 assessed1 of 1 gradableView Result →
Nanonets
1 Pass0 Fail0 Not gradable
1 of 1 test case passed
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
Landing AI——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
Review and Correction

What this scenario evaluates

  • Whether a later read returns the corrected value rather than the original extraction.
  • Whether the downstream read reflects the updated record after correction.
  • Whether the tool continues to show the correction when the record is read again later.

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 →
Corrected data goes downstream in Structured Document Extraction | AI Demos