{
  "recordVersion": 1,
  "status": "One completed and independently checked workflow; not an overall comparison verdict",
  "runId": "sales-returns-claude-20261019-03",
  "dateUTC": "2026-10-19",
  "app": "Claude",
  "round": 3,
  "surface": "Ordinary claude.ai browser chat (fresh /new chat); no Project, Research or Claude Code surface.",
  "visibleConfiguration": {
    "plan": "Max (the access inspection read Max (20x))",
    "modelLabel": "Fable 5.1",
    "effort": "Max (already selected when the tab loaded; nothing was changed)",
    "permissions": "Manual",
    "connectors": "Anomaly AI and Claude in Chrome ON (read-only check); no connector tool was called and no approval prompt appeared",
    "conversationRecord": "model claude-fable-5-1, effort max, memory mode enabled (the app's own fields)"
  },
  "configurationScope": "App-reported labels, not independent backend model identification.",
  "operator": "AI browser operator working for Anomaly, using an existing authorized account",
  "reviewer": "Separate scripts written by the article owner recomputed the checked values from the saved input files; the owner also reread the operator record",
  "notBlinded": true,
  "blindingDisclosure": "The operator read part of the answer key (direct read 19:54:00 UTC), the rubric and the round-2 Claude record before sending P1 at 19:57:55 UTC. Only the four frozen prompts and the synthetic workbook were sent; no expected value or hint was sent. Not blinded; the verifying scripts also know the answers.",
  "accountState": "Fresh chat. Per-chat Memory ON. Earlier read-only inspection found saved memory ON with four entries, memory generation ON, past-chat reference OFF and empty custom instructions; these were not re-inspected in this run. A fresh conversation is not memory-free.",
  "independenceDisclosure": "Vendor-authored, not blinded or independent of Anomaly. Unmatched subscriptions and account personalization across apps.",
  "input": {
    "name": "sales-returns-workbook.xlsx",
    "bytes": 2575274,
    "sha256": "5d25f5d9d877c895736cf91361de94742a8f50af8f4d74a1ea2240929e17f3ed",
    "url": "../sales-returns-workbook.xlsx",
    "provenance": "Frozen synthetic five-sheet workbook",
    "upload": "Browser-created File through the app's attachment path; the stored upload fetched back in-page hashes to the frozen value"
  },
  "reference": {
    "url": "../reference-values.csv",
    "method": "Frozen SQL reference with independent JavaScript and Python/CSV checks"
  },
  "promptsAndInputDownload": "../comparison-workbook-and-checks-v1.zip",
  "prompts": [
    {
      "prompt": "P1",
      "sentUTC": "2026-10-19T19:57:55.463Z",
      "secondsToLastStoredOutput": 391.5
    },
    {
      "prompt": "P2",
      "sentUTC": "2026-10-19T20:04:51.818Z",
      "secondsToLastStoredOutput": 59.5
    },
    {
      "prompt": "P3",
      "sentUTC": "2026-10-19T20:06:06.813Z",
      "secondsToLastStoredOutput": 38.5
    },
    {
      "prompt": "P4",
      "sentUTC": "2026-10-19T20:07:00.815Z",
      "secondsToLastStoredOutput": 443.7
    }
  ],
  "timingDefinition": "Seconds from the page-clock send click to the app's own timestamp of its last stored output. The shared browser tab may have been hidden, so the page's finished indicator lagged slightly. Not an exact generation duration.",
  "access": {
    "allFourPromptsCompletedFirstAttempt": true,
    "clarificationQuestions": 0,
    "recoveryMessages": 0,
    "inConversationQuotaOrAccessBlock": false,
    "toolEventsNotAppEvents": "After the run the operator's tab showed a logged-out Claude page (cause unknown); no prompt was affected."
  },
  "checks": [
    {
      "id": "N1",
      "check": "All five sheet row counts",
      "result": "PASS",
      "reason": null,
      "observed": "Sales 12,120 data rows (12,000 after Definition 1); Returns 600; Products 24; Categories 5; Regions 4",
      "reference": "Sales 12120 raw / 12000 unique; Returns 600; Products 24; Categories 5; Regions 4"
    },
    {
      "id": "N2",
      "check": "Key columns and uniqueness",
      "result": "PASS",
      "reason": null,
      "observed": "Sales.line_id NOT unique (12,000 distinct, 120 IDs appear twice, unique after dedup); return_id, product_id, category_id, region_id unique (also says Returns.line_id is unique)",
      "reference": "Sales.line_id 12000 distinct of 12120; other keys unique"
    },
    {
      "id": "N3",
      "check": "Date extents",
      "result": "PASS",
      "reason": null,
      "observed": "Sales.order_date 2026-01-01 to 2026-06-30; Returns.return_date 2026-01-03 to 2026-06-30",
      "reference": "same"
    },
    {
      "id": "N4",
      "check": "Three required data-quality observations",
      "result": "PASS",
      "reason": null,
      "observed": "(a) 120 exact duplicate Sales rows (12,120 vs 12,000) listed first as \"the one real defect\"; (b) C5 Seasonal Gifts has no products, so no sales lines and an undefined rate; (c) no price, cost or revenue column: stated in section 4 (\"What cannot be calculated: anything in money ... There is no price or cost column\"), not in the numbered data-quality section",
      "reference": "DQ1 120 repeats; DQ2 C5; DQ3 no price/revenue column"
    },
    {
      "id": "N5",
      "check": "Rows before and after deduplication",
      "result": "PASS",
      "reason": null,
      "observed": "Rows 12,120 -> 12,000 (120 removed); units 33,436 -> 33,106",
      "reference": "raw_rows 12120, unique_rows 12000"
    },
    {
      "id": "N6",
      "check": "Six monthly units totals",
      "result": "PASS",
      "reason": null,
      "observed": "2026-01 3,456; 02 3,761; 03 4,872; 04 5,643; 05 6,815; 06 8,559",
      "reference": "3456/3761/4872/5643/6815/8559"
    },
    {
      "id": "N7",
      "check": "Five category units totals",
      "result": "PASS",
      "reason": null,
      "observed": "C1 Kitchen 9,014; C2 Outdoor 8,535; C3 Office 8,668; C4 Pet Supplies 6,889; C5 Seasonal Gifts 0 (kept, explained as a true zero, not a missing month)",
      "reference": "9014/8535/8668/6889/0"
    },
    {
      "id": "N8",
      "check": "Four regional units totals",
      "result": "PASS",
      "reason": null,
      "observed": "R1 North 11,067; R2 South 9,090; R3 East 7,271; R4 West 5,678",
      "reference": "11067/9090/7271/5678"
    },
    {
      "id": "N9",
      "check": "Grand total and reconciliation",
      "result": "PASS",
      "reason": null,
      "observed": "Grand total 33,106; month, category and region tables each total 33,106",
      "reference": "33106"
    },
    {
      "id": "N10",
      "check": "Category return numerators and denominators",
      "result": "PASS",
      "reason": null,
      "observed": "Returned/sold units: C1 244/9,014; C2 460/8,535; C3 160/8,668; C4 288/6,889",
      "reference": "244/9014, 460/8535, 160/8668, 288/6889"
    },
    {
      "id": "N11",
      "check": "Category return rates",
      "result": "PASS",
      "reason": null,
      "observed": "2.71% / 5.39% / 1.85% / 4.18% (also all categories 1,152/33,106 = 3.48%)",
      "reference": "2.71 / 5.39 / 1.85 / 4.18"
    },
    {
      "id": "N12",
      "check": "No-sales category rate",
      "result": "PASS",
      "reason": null,
      "observed": "C5 Seasonal Gifts: 0 returned, 0 sold, rate shown as \"Undefined\" with the reason (zero sold units; not 0%)",
      "reference": "undefined, zero sold units"
    },
    {
      "id": "J1",
      "check": "Duplicate-safe joins",
      "result": "PASS",
      "reason": null,
      "observed": "Sales deduplicated before the join; returned units 244/460/160/288 (not the fan-out 248/472/167/293); returns looked up against deduplicated lines with an assert that no row fans out",
      "reference": "not 248/472/167/293"
    },
    {
      "id": "J2",
      "check": "Complete output groups",
      "result": "PASS",
      "reason": null,
      "observed": "5 categories (C5 kept), 4 regions, 6 months present in every table",
      "reference": "5/4/6"
    },
    {
      "id": "J3",
      "check": "No invented period or financial values",
      "result": "PASS",
      "reason": null,
      "observed": "No revenue or money figure and no month after June in any table, chart, finding, CSV or workbook sheet; the words \"revenue\"/\"money\" appear only as disclaimers (grep of all four answers, the workbook strings and the script)",
      "reference": "no revenue, no money, no Jul-Dec values"
    },
    {
      "id": "F1",
      "check": "Chart agrees with checked monthly totals",
      "result": "PASS",
      "reason": null,
      "observed": "Chart PNG: six bars Jan-Jun 2026, y axis 0-10K, endpoint labels 3,456 and 8,559, no month after June; bar heights read by pixel measurement 3,437 / 3,746 / 4,853 / 5,634 / 6,796 / 8,539 (about 18 units per pixel; every bar within 1.1 px of the reference); CSV and the native workbook chart (cached points) equal the reference exactly",
      "reference": "3456/3761/4872/5643/6815/8559"
    },
    {
      "id": "F2",
      "check": "Exactly three supported findings",
      "result": "PASS",
      "reason": null,
      "observed": "Exactly three findings. All quantities reconcile with the reference: Jan 3,456 to Jun 8,559 (x2.48, +148%), MoM +8.8/+29.5/+15.8/+20.8/+25.6%, Q2 21,017 vs Q1 12,089 (x1.74), June 25.9% of 33,106; every category and region at least doubled (x2.50/2.80/2.59/2.00; x2.52/2.28/2.42/2.80), C4 dipped once (819 -> 765), West once (972 -> 970); cohort return rates 3.85/4.44/3.37/3.35/3.55/3.00% within a 3.00-4.44% band, overall 3.48%, C5 undefined",
      "reference": "units_by_month, return_rate_by_order_month, units_by_category/region, month_x_category/region"
    },
    {
      "id": "W1",
      "check": "Reproducible supplied working",
      "result": "PASS",
      "reason": null,
      "observed": "P2 script (as shown) ran unchanged with the workbook path as argument and reproduced all values and row counts; P3 script ran unchanged and reproduced all rates (C5 UNDEFINED); P4 delivered reproduce_units_sold.py ran unchanged (pandas, matplotlib, openpyxl) and reproduced the CSV byte-identically, every printed figure and a chart whose bars measure the same as the delivered PNG",
      "reference": "all units_by_*, return_rate_by_category"
    },
    {
      "id": "W2",
      "check": "Working agrees with reported counts and tables",
      "result": "PASS",
      "reason": null,
      "observed": "Shown steps and row counts (12,120 -> 12,000; 33,436 -> 33,106; 120 removed; 330 units) agree with the final tables and the script output",
      "reference": "grand_total"
    },
    {
      "id": "E1",
      "check": "Delivered files retrieved and reopened",
      "result": "PASS",
      "reason": null,
      "observed": "Four files delivered (PNG, XLSX, CSV, PY), fetched in-page and checked on the VM: CSV six monthly values equal the reference; XLSX cached values equal the reference (verification/reconcile_xlsx_output_delivered.txt, all true); PNG bars within 1.1 px; PY re-run reproduces",
      "reference": "units_by_month, units_by_category, units_by_region"
    },
    {
      "id": "E2",
      "check": "XLSX summary values",
      "result": "PASS",
      "reason": null,
      "observed": "units_sold_summary.xlsx: 12 sheets, 14,619 formulas, 0 error values, native clustered column chart on Units by Month!D3:D8; opens with openpyxl and LibreOffice 24.2; month, category (C5 = 0), region, month x category, month x region, return-rate-by-category (C5 \"Undefined\") and return-rate-by-order-month values all equal the reference",
      "reference": "as E1"
    },
    {
      "id": "E3",
      "check": "Claimed workbook editability",
      "result": "PASS",
      "reason": null,
      "observed": "The app claims formulas and a native chart (\"every table is a live formula ... 14,619 formulas\"; \"a native Excel column chart\"). Confirmed: 14,619 formulas; chart object barChart/col. Controlled change Sales_dedup!E2 1 -> 11, recalculated in LibreOffice: Summary total 33,106 -> 33,116, January 3,456 -> 3,466, Outdoor +10, East +10, shares/rates updated, workbook chart cache 3,456 -> 3,466 (42 cells changed)",
      "reference": "claim holds"
    }
  ],
  "scoringNote": "22 separate checks: 22 PASS, 0 FAIL, 0 NOT-ASSESSED. No weighted score or accuracy percentage. Completion, access, timing and cost are separate.",
  "mainDistinction": "All numbers and both exports are correct and every check passes. Separate defects: the short inline reproduction snippet in the P4 chat text raises a NameError unchanged; one P1 statement (2,320 rows share date, product, region and units with a different line id) counts the exact-duplicate pairs too; and the P2 and P3 scripts are shown in the chat but were not delivered as files. One finding says June's cohort rate is 'understated': an interpretive caveat scored as not a rubric failure.",
  "files": [
    {
      "name": "units_sold_by_month.png",
      "bytes": 112577,
      "sha256": "898327bd02cc08801ebd2703ed421b2c28e5d1a3808a243c76e835bbd6f37410",
      "url": "/blog/best-ai-model-for-data-analysis/r3-claude/units_sold_by_month.png",
      "kind": "Unmodified app-delivered file"
    },
    {
      "name": "units_sold_summary.xlsx",
      "bytes": 487345,
      "sha256": "b7d009502f12f3c6c329708e047cf4f0e1b821e63b28700b10dcbe00efdbd746",
      "url": "/blog/best-ai-model-for-data-analysis/r3-claude/units_sold_summary.xlsx",
      "kind": "Unmodified app-delivered file"
    },
    {
      "name": "units_sold_by_month.csv",
      "bytes": 90,
      "sha256": "ca8c2912a9af5779340f973e9857342564edb7a07a0011c029c970ced4297d15",
      "url": "/blog/best-ai-model-for-data-analysis/r3-claude/units_sold_by_month.csv",
      "kind": "Unmodified app-delivered file"
    },
    {
      "name": "reproduce_units_sold.py",
      "bytes": 8252,
      "sha256": "75507a3edc9ac689ee681499278536c0dc25a09e87122218174f05bc336cc3e2",
      "url": "/blog/best-ai-model-for-data-analysis/r3-claude/reproduce_units_sold.py",
      "kind": "Unmodified app-delivered file"
    }
  ],
  "retrievalMethod": "Files were fetched in-page from the app's files API and hash-checked against copies on the verifying machine; native browser Download buttons were not clicked.",
  "verification": {
    "formulaCells": 14619,
    "errorCells": 0,
    "nativeCharts": 1,
    "controlledChange": "One source cell changed on a copy; the totals, rates and chart updated after LibreOffice recalculation",
    "deliveredScriptRerun": "The delivered Python ran unchanged and reproduced the CSV byte-identically",
    "independentSecondCheck": "writer-r3-claude-independent-verification.json (separate script) confirms every monthly, category, region and rate value"
  },
  "usageAndPrice": "Usage counters were not captured after the run because the tab was logged out; US web list price context is in the article's configuration table.",
  "limitations": [
    "One synthetic fixture, one workflow and one date. Three workflows per app do not estimate population reliability.",
    "No underlying-model, large-file, native add-in, statistical-inference or unattended-refresh conclusion.",
    "Plans, effort settings and account personalization differ across the three apps; this compares app configurations.",
    "Not blinded and vendor-authored."
  ]
}