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Graded 12 October 2026

Does LlamaParse treat a Total row as a non-member?

LlamaParse returned only the five genuine line items and left out the Total row. The returned rows matched the invoice rows, and the UI showed the same five rows with no Total row and page-1 citations.

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 counts this row.

Total row is not a memberPassEvidence
What we sent
InputDocument (PDF)
PDF invoice: five rows and a Total row
Open the PDF ↗
What the tool returned
JSON
"status": "COMPLETED",
"error_message": null,
"extract_result": {
  "line_items": [
    {
      "description": "Retail Shelving Unit - Steel, 5-Tier",
      "quantity": "6",
      "unit_price": "84.00",
      "amount": "504.00"
    },
    {
      "description": "Checkout Counter - Laminate Top",
      "quantity": "2",
      "unit_price": "310.00",
      "amount": "620.00"
    },
    {
      "description": "Security Tag Deactivator - Handheld",
      "quantity": "4",
      "unit_price": "45.50",
      "amount": "182.00"
    },
    {
      "description": "Price Label Printer - Thermal",
      "quantity": "3",
      "unit_price": "162.00",
      "amount": "486.00"
    },
    {
      "description": "Shopping Basket - 20L, Set of 10",
      "quantity": "5",
      "unit_price": "38.00",
      "amount": "190.00"
    }
  ]

Result record: five extracted rows with page-1 citations

Copied from Output file (JSON), lines 7–41

Open the JSON file ↗
Key momentslines 7–41
Expected vs. Found
✓Expected: Return only genuine members, with count separate from membership.Found: Five genuine line items came back, and the Total row was omitted.
Supporting proof
Proof 1Screenshot
Screenshot: uploaded invoice and five-row result
The tool’s response is printed above, under What the tool returned. Show this screenshotOpen original ↗
Why this result

It was a pass because the tool returned only real rows and left out the Total lookalike. Five genuine line items came back, and they matched the invoice rows.

Also observed on this row

Page-1 citations. Every returned field had a page-1 citation with a bounding box on the submitted document.

Tested by Rugved nichite · evidence dated 12 October 2026
Limitations of this result

Only the agentic web-app tier was tested; other tiers and the API are outside this result.

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
LlamaParse
Build or version
LlamaCloud web app (build v9bc3d1a1); Extract, Agentic tier
Plan or tier
Free plan (20,000 credits)
Surface
Web app
Set up before the run
A line-item document with one clearly marked non-member was used; the agentic parse tier ran on the Free plan to keep only genuine members.
Extraction schema
line_items array of {description, quantity, unit_price, amount}
Tested
12 October 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 row says which 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 row says what's missing.

Where this sits in the benchmark

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History of this result

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from the publication record
29 October 2026First publishedStructured Document Extraction v1

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This matches what I see

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Cite this result
aidemos.com/benchmarks/structured-document-extraction/results/llamaparse/the-set-contains-a-non-record · 1 pass · 0 fail · coverage 1/1 · graded 2026-10-12

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 · 55 KB
Output file (JSON) ↗text/plain; charset=utf-8 · 16 KB
Proof 1 · Screenshot ↗image/png · 147 KB
File fingerprints (SHA-256)

A fingerprint identifies the exact file used for this result.

Input · Document (PDF)791590c9d422110ebebf3c1e434eebac20aff3c6728024693becc870818c26d8
Output file (JSON)e8bb5d8666e4a09f139c7b454c599fc2cc9b24d737e9e86a786cd4a2cdca5500
Proof 1 · Screenshot702337427656888f987c1a78e4031f5bba38c6022ba30e7da8f6675570b90e99