AI Demos Research — the structured-intelligence platform. Every verdict on these pages opens to the execution behind it.
Graded 17 October 2026

Does Extend AI handle an absent field without inventing one?

Extend AI passes this absent-field case: it returned null for the added field and no grounding to an invented value. The receipt contains no loyalty or membership data, and the response carries an empty citations array.

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.

Absent field returns an honest nullPassEvidence
What we sent

“loyalty_membership_number — "The customer's loyalty program membership number, if the document mentions one." (string)”

InputDocument (PDF)
Service receipt with no membership data
Open the PDF ↗
What the tool returned
JSON
{
  "value": {
    "loyalty_membership_number": null
  },
  "metadata": {
    "loyalty_membership_number": {
      "citations": []
    }
  }
}

JSON response with null and empty citations

Copied from Output file (JSON), lines 1–10

Open the JSON file ↗
Expected vs. Found
✓Expected: Return null for the absent field, with no invented value or grounding attached to an invented value.Found: The product returned null and an empty citations array for the added field, with no invented value.
Supporting proof
Proof 1Screenshot
Playground screenshot with receipt and result
Open original ↗
Why this result

The receipt contains no loyalty or membership data, and the added field came back null with an empty citations array. That leaves the requested fact empty and avoids grounding an invented value.

Also observed in this test case

Empty citations. The product returned an explicit empty citations array for the null field instead of omitting it.

Tested by Rugved Nichite · evidence dated 27 September 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
Extend AI
Build or version
Not exposed by the hosted product
Surface
Web app
Set up before the run
An unchanged baseline receipt was used, and one absent, non-derivable string field was added to the existing schema.
Added field
loyalty_membership_number
Configuration
the receipt schema plus one added string field, loyalty_membership_number
Tested
27 September 2026 · Rugved Nichite

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.

LevelNameScope
BenchmarkStructured Document Extraction →19 scenarios · 10 tools
CapabilityField Extraction →
CapabilitySource Grounding →
ScenarioThe field is absent →
ToolExtend AI →

History of this result

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from the publication record
2 November 2026First publishedStructured Document Extraction v1

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This matches what I see

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This does not match

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Point out an issue

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

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We have fixed this

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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/structured-document-extraction/results/extend-ai/the-field-is-absent · 1 pass · 0 fail · coverage 1/1 · graded 2026-10-17

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.

Input · Document (PDF) ↗application/pdf · 7 KB
Output file (JSON) ↗application/json · 0 KB
Proof 1 · Screenshot ↗image/png · 125 KB
File fingerprints (SHA-256)

A fingerprint identifies the exact file used for this result.

Input · Document (PDF)1f464ae863aadb1682805b8ee3fdd8b368a2ddd4e0f602e1cb194640b9253302
Output file (JSON)f7828893c3c42736ecb67a77a2aee4bd1586ea882b48a801209778ccfbfb0b60
Proof 1 · Screenshot50a4d322910eaceca56f58dbeae115950debb5f684b49cdad36a82b5894305cb