{
  "recordVersion": 1,
  "app": "Anomaly",
  "environment": "Development, not production",
  "surface": "Ordinary project chat, visible Auto routing",
  "account": "New synthetic account with FREE badge and allowance raised from 30 to 600 development test credits. No conclusion about ordinary Free-plan completion.",
  "operator": "AI evidence worker for Anomaly using isolated Playwright Chromium",
  "reviewer": "Separate AI writer for Anomaly independently checked saved input and actual output files",
  "notBlinded": true,
  "blindingDisclosure": "Operator read the rubric and reference files at 14:50:32.858 UTC, before P1. Its first direct read of the original answer key was at 14:59:40.890 UTC, after P1 was sent but before it completed. The July-specific key was first read at 15:55:27.973 UTC, after the July response completed. Writer/coordinator knew references when checking. Broader session not blinded; no expected values or corrective numerical hints sent to the app.",
  "independenceDisclosure": "Vendor-authored demonstration of our own product, outside the three-app comparison. No fourth-app ranking or production-performance claim.",
  "accountState": "Fresh synthetic project, project learning enabled; not a guarantee of isolation from shared product learning.",
  "dateUTC": "2026-10-19",
  "retrievalMethod": "Product viewer Download controls. CSV/XLSX obtained as browser downloads; controls for some other types opened signed file URLs, fetched exactly as opened. Private URLs are not published.",
  "verificationTools": "Independent CSV calculations, DuckDB SQL, openpyxl, LibreOffice 24.2.7.2 and visual inspection of original PNGs. No manual Microsoft Excel session.",
  "limits": [
    "One development configuration and synthetic dataset, not production behavior or ordinary Free-plan entitlement.",
    "No unattended refresh, scheduled delivery, live connector, statistical inference or large-file benchmark.",
    "Supplied Python requires product-only workspace_utils and failed unchanged outside Anomaly; operator adapter does not count as unchanged reproduction.",
    "Changed workbook copies were recalculated in LibreOffice. openpyxl warned reading those converted chart objects; original delivered files opened cleanly and converted chart XML contained the expected edit."
  ],
  "runId": "anomaly-dev-r1-janjun",
  "files": [
    {
      "name": "README.md",
      "bytes": 651,
      "sha256": "225b5623494d5331ac1d154e647598a468c65821d543aed7ee768d05874bddcf",
      "url": "/blog/best-ai-model-for-data-analysis/anomaly-janjun/README.md",
      "kind": "Unmodified app-delivered file",
      "limitation": null
    },
    {
      "name": "monthly_units_sold_jan_jun_2026.csv",
      "bytes": 113,
      "sha256": "46542fe238e08dfe74510e7a5a47bc34c5fd49a99cd165c0c4c15fab70a82b28",
      "url": "/blog/best-ai-model-for-data-analysis/anomaly-janjun/monthly_units_sold_jan_jun_2026.csv",
      "kind": "Unmodified app-delivered file",
      "limitation": null
    },
    {
      "name": "monthly_units_sold_jan_jun_2026.png",
      "bytes": 90337,
      "sha256": "8ad57cb4547dd44ec2b78065fa888a1cf2b7ca0d916cde451d54607e9290c453",
      "url": "/blog/best-ai-model-for-data-analysis/anomaly-janjun/monthly_units_sold_jan_jun_2026.png",
      "kind": "Unmodified app-delivered file",
      "limitation": null
    },
    {
      "name": "monthly_units_sold_summary.xlsx",
      "bytes": 17282,
      "sha256": "f1f17909a2993587d925c753091bf81b62cc05bf1f44690110e7b93d58171fe7",
      "url": "/blog/best-ai-model-for-data-analysis/anomaly-janjun/monthly_units_sold_summary.xlsx",
      "kind": "Unmodified app-delivered file",
      "limitation": null
    },
    {
      "name": "reproduce_monthly_units.py",
      "bytes": 3010,
      "sha256": "8ab690f72e1f2bac59d16e32dc10657e4cfbacf65e7b170794dc0e1ceb5aceb1",
      "url": "/blog/best-ai-model-for-data-analysis/anomaly-janjun/reproduce_monthly_units.py",
      "kind": "Unmodified app-delivered file",
      "limitation": "Requires Anomaly-only workspace_utils; does not run unchanged outside the product."
    },
    {
      "name": "reproduce_monthly_units.sql",
      "bytes": 360,
      "sha256": "e61756467e2182647437fd818c7f6bab85b443740cc9be02bd1e0c7859840bd7",
      "url": "/blog/best-ai-model-for-data-analysis/anomaly-janjun/reproduce_monthly_units.sql",
      "kind": "Unmodified app-delivered file",
      "limitation": null
    }
  ],
  "status": "Four prompts completed; P4 only after a stalled first attempt, Stop and fixed retry",
  "input": {
    "name": "sales-returns-workbook.xlsx",
    "sha256": "5d25f5d9d877c895736cf91361de94742a8f50af8f4d74a1ea2240929e17f3ed",
    "url": "../sales-returns-workbook.xlsx",
    "handling": "Uploaded into five project tables before P1. P1 sent from later page session without a file chip; app used imported tables."
  },
  "reference": "../reference-values.csv",
  "promptsAndFixture": "../comparison-workbook-and-checks-v1.zip",
  "attempts": [
    {
      "prompt": "p1",
      "sentUTC": "2026-10-19T14:59:08.468Z",
      "lastObservedUTC": "2026-10-19T15:00:52.559Z",
      "completedWithinCap": true,
      "sentTextSHA256": "55b2b1433f6acefda4bd5727bec8f1e713d77a82b65c40ddfedfc1ba8b81e6bf"
    },
    {
      "prompt": "p2",
      "sentUTC": "2026-10-19T15:01:25.411Z",
      "lastObservedUTC": "2026-10-19T15:03:45.202Z",
      "completedWithinCap": true,
      "sentTextSHA256": "a1284f6c7ad6554a50ca9eb2ee834fe772e1d7151b73d97d4f61c64a20fee68c"
    },
    {
      "prompt": "p3",
      "sentUTC": "2026-10-19T15:04:39.540Z",
      "lastObservedUTC": "2026-10-19T15:05:36.118Z",
      "completedWithinCap": true,
      "sentTextSHA256": "5267ae75957ef85ea20be20a5965d6e6ba81c5563278de20f6f3da6136db9362"
    },
    {
      "prompt": "p4",
      "sentUTC": "2026-10-19T15:06:21.505Z",
      "lastObservedUTC": "2026-10-19T15:31:23.549Z",
      "completedWithinCap": false,
      "sentTextSHA256": "c7bf19a8bd57a33677e5d3931ba46ca88f06ee642f9c1754d578a363b44583b0"
    },
    {
      "prompt": "p4r",
      "sentUTC": "2026-10-19T15:36:58.306Z",
      "lastObservedUTC": "2026-10-19T15:37:36.126Z",
      "completedWithinCap": true,
      "sentTextSHA256": "df24a0b67791fe1d46248a137657816e4c2cbf36e61ab9ad446b9c2cb85b2412"
    }
  ],
  "recovery": "P4 first attempt saved files and began its final answer, then stalled. Observation cap 25 minutes. Operator pressed Stop before sending the single fixed recovery: Retry the last request using the same file and definitions. Recovery completed in 37.8 seconds. First attempt retained.",
  "checks": [
    {
      "id": "N1",
      "result": "PASS",
      "observed": "Sales 12,120 raw / 12,000 after dedup; Returns 600; Products 24; Categories 5; Regions 4"
    },
    {
      "id": "N2",
      "result": "PASS",
      "observed": "Sales line_id: not unique in raw, unique after dedup; return_id, product_id, category_id, region_id: unique"
    },
    {
      "id": "N3",
      "result": "PASS",
      "observed": "order_date 2026-01-01 to 2026-06-30; return_date 2026-01-03 to 2026-06-30"
    },
    {
      "id": "N4",
      "result": "PASS",
      "observed": "(a) 120 exact repeated Sales rows (12,120 vs 12,000) yes; (b) Seasonal Gifts (C5) no products / no sold units yes; (c) no price/revenue column: yes, stated under \"calculations not supported\" (\"no monetary fields\"), not in the data-quality bullet list"
    },
    {
      "id": "N5",
      "result": "PASS",
      "observed": "Sales fell from 12,120 to 12,000 rows, 120 exact duplicates removed"
    },
    {
      "id": "N6",
      "result": "PASS",
      "observed": "Jan 3,456; Feb 3,761; Mar 4,872; Apr 5,643; May 6,815; Jun 8,559"
    },
    {
      "id": "N7",
      "result": "PASS",
      "observed": "Kitchen 9,014; Outdoor 8,535; Office 8,668; Pet Supplies 6,889; Seasonal Gifts 0 (kept, retained row)"
    },
    {
      "id": "N8",
      "result": "PASS",
      "observed": "North 11,067; South 9,090; East 7,271; West 5,678"
    },
    {
      "id": "N9",
      "result": "PASS",
      "observed": "Grand total 33,106; month, category and region totals each shown summing to 33,106"
    },
    {
      "id": "N10",
      "result": "PASS",
      "observed": "Kitchen 244/9,014; Outdoor 460/8,535; Office 160/8,668; Pet Supplies 288/6,889"
    },
    {
      "id": "N11",
      "result": "PASS",
      "observed": "2.71%; 5.39%; 1.85%; 4.18%"
    },
    {
      "id": "N12",
      "result": "PASS",
      "observed": "Seasonal Gifts 0 returned / 0 sold: \"Undefined\", not 0%, reason: no sold units, zero denominator"
    },
    {
      "id": "J1",
      "result": "PASS",
      "observed": "Returned units 244/460/160/288 (not the fan-out 248/472/167/293)"
    },
    {
      "id": "J2",
      "result": "PASS",
      "observed": "5 categories, 4 regions, 6 months present in outputs"
    },
    {
      "id": "J3",
      "result": "PASS",
      "observed": "No Jul-Dec values, no revenue or money in chat, CSV, XLSX, PNG, README"
    },
    {
      "id": "F1",
      "result": "PASS",
      "observed": "PNG chart: six labelled points 3,456 / 3,761 / 4,872 / 5,643 / 6,815 / 8,559, Jan 2026 to Jun 2026, y-axis \"Units sold\", footnote says no months after June; XLSX native line chart series = Monthly Data!A2:A7 / B2:B7 whose cells equal the key; CSV equals key"
    },
    {
      "id": "F2",
      "result": "PASS",
      "observed": "Three findings: total 33,106; June 8,559 = 5,103 above January (+147.66%); units rose every month, largest rise 1,744 May to June (+25.59%). All reconcile (8,559/3,456-1 = 147.66%; 1,744/6,815 = 25.59%)."
    },
    {
      "id": "W1",
      "result": "FAIL",
      "observed": "P2 SQL runs unchanged and matches all 16 summary values; downloaded P4 SQL matches six monthly totals. Downloaded full Python fails for missing workspace_utils. A repaired replay is not an unchanged-code pass."
    },
    {
      "id": "W2",
      "result": "PASS",
      "observed": "Shown steps (DISTINCT across all five columns, aggregate separately, left-join Categories, independent total) and row counts 12,120 -> 12,000 match the reported numbers"
    },
    {
      "id": "E1",
      "result": "PASS",
      "observed": "monthly CSV (6 rows) and XLSX Monthly Data (6 months) opened with csv/openpyxl; equal key and equal the chat; LibreOffice also opened/rendered the XLSX; files obtained with the product Download action"
    },
    {
      "id": "E2",
      "result": "PASS",
      "observed": "XLSX produced (4 sheets: Summary, Monthly Data, Method & Code, Sources), zip test clean, opens in openpyxl and LibreOffice, values equal key"
    },
    {
      "id": "E3",
      "result": "PASS",
      "observed": "12 formulas, one native chart. Writer changed Monthly Data!B2 from 3,456 to 3,457 on a copy; total became 33,107 and chart updated. Aggregate edit only; prose remained static."
    }
  ],
  "scoringNote": "22 correctness checks: 21 PASS, W1 FAIL. No weighted accuracy score. Access and recovery separate. Original operator count included upload access and accepted repaired Python; coordinator/writer correction excludes access and fails unchanged reproduction.",
  "verification": {
    "grandSoldUnits": 33106,
    "returnedUnits": 1152,
    "monthlySoldUnits": [
      3456,
      3761,
      4872,
      5643,
      6815,
      8559
    ],
    "salesRows": [
      12120,
      12000
    ],
    "formulas": 12,
    "nativeCharts": 1,
    "rawSalesRowsIncluded": false,
    "writtenFindingsUpdateAutomatically": false
  },
  "nextRequestedUpdate": "../anomaly-july/results.json",
  "screenshot": {
    "file": "anomaly-05-p4-first-attempt-stalled-cut-off.png",
    "sha256": "93e4562f2ac9cfff3c1523cd632bb463fed0c149dc210b18ff9e079633eff34d",
    "url": "/blog/best-ai-model-for-data-analysis/anomaly-janjun/anomaly-05-p4-first-attempt-stalled-cut-off.png",
    "note": "Actual first-attempt capture: correct CSV already exists while the final chat reply is cut off and Stop remains visible. Cropped only to remove account sidebar."
  }
}