{
  "recordVersion": 1,
  "status": "One completed and independently checked workflow; not an overall comparison verdict",
  "runId": "sales-returns-claude-20261019-02",
  "dateUTC": "2026-10-19",
  "app": "Claude",
  "round": 2,
  "surface": "Ordinary claude.ai browser chat (fresh /new chat); no Project, Research or Claude Code surface.",
  "visibleConfiguration": {
    "plan": "Max (20x)",
    "modelLabel": "Fable 5.1",
    "effort": "Max (re-selected for this chat)",
    "permissions": "Manual",
    "connectors": "Anomaly AI and Claude in Chrome ON (restored in the first Claude workflow); no connector tool was called and no approval prompt appeared",
    "conversationRecord": "model claude-fable-5-1, effort_level max (the app's own fields, not an independent backend identification)"
  },
  "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 the scoring rubric and other reference files at 18:47:41 UTC and first read the answer key at 19:11:53 UTC, after the fourth prompt was answered. 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 access inspection found saved memory ON with four entries, memory generation ON, past-chat reference OFF and empty custom instructions; these account settings were not re-inspected during 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": "2026-10-19T18:51:36.777Z",
      "secondsToLastStoredOutput": 334.1
    },
    {
      "prompt": "P2",
      "sentUTC": "2026-10-19T18:57:52.791Z",
      "secondsToLastStoredOutput": 78.9
    },
    {
      "prompt": "P3",
      "sentUTC": "2026-10-19T18:59:25.866Z",
      "secondsToLastStoredOutput": 34.9
    },
    {
      "prompt": "P4",
      "sentUTC": "2026-10-19T19:00:13.784Z",
      "secondsToLastStoredOutput": 520.6
    }
  ],
  "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 by up to a second. Not an exact generation duration.",
  "access": {
    "allFourPromptsCompletedFirstAttempt": true,
    "clarificationQuestions": 0,
    "recoveryMessages": 0,
    "inConversationQuotaOrAccessBlock": false,
    "toolEventsNotAppEvents": "Two transient browser-tool events (a timeout and one ECONNRESET) during P4 polling; the next call worked and no prompt was affected. Earlier operators of this run were setup-only (no prompt, no workbook) and are recorded in the run record."
  },
  "checks": [
    {
      "id": "N1",
      "check": "All five sheet row counts",
      "result": "PASS",
      "reason": null,
      "observed": "Sales 12,120 (12,000 distinct line_id); Returns 600; Products 24; Categories 5; Regions 4 (data rows)",
      "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 (120 IDs appear twice; unique after exact dedup); return_id, product_id, category_id, region_id unique (also states Returns.line_id 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: present, listed first; (b) C5 Seasonal Gifts has no products so zero sold units / undefined rate: present; (c) no price, cost or revenue column: present, but stated in the \"cannot be calculated\" section (\"There is no price, cost or revenue column anywhere\"), not in the numbered data-quality list",
      "reference": "a) 120 repeated rows b) C5 no products c) no price/revenue column"
    },
    {
      "id": "N5",
      "check": "Rows before and after deduplication",
      "result": "PASS",
      "reason": null,
      "observed": "rows 12,120 before, 120 exact duplicates removed, 12,000 after",
      "reference": "12120 / 12000"
    },
    {
      "id": "N6",
      "check": "Six monthly units totals",
      "result": "PASS",
      "reason": null,
      "observed": "Jan 3,456; Feb 3,761; Mar 4,872; Apr 5,643; May 6,815; Jun 8,559",
      "reference": "units_by_month unique_units (same)"
    },
    {
      "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 kept, 0 units (explained as true zero of units sold; the rate, not the units, is undefined)",
      "reference": "same; C5 = 0 kept"
    },
    {
      "id": "N8",
      "check": "Four regional units totals",
      "result": "PASS",
      "reason": null,
      "observed": "North 11,067; South 9,090; East 7,271; West 5,678",
      "reference": "same"
    },
    {
      "id": "N9",
      "check": "Grand total and reconciliation",
      "result": "PASS",
      "reason": null,
      "observed": "Grand total 33,106 (raw would be 33,436, stated); month, category and region tables each sum to 33,106 (shown totals)",
      "reference": "33106"
    },
    {
      "id": "N10",
      "check": "Category return numerators and denominators",
      "result": "PASS",
      "reason": null,
      "observed": "returned/sold: C1 244/9,014; C2 460/8,535; C3 160/8,668; C4 288/6,889",
      "reference": "same (return_rate_by_category)"
    },
    {
      "id": "N11",
      "check": "Category return rates",
      "result": "PASS",
      "reason": null,
      "observed": "C1 2.71%; C2 5.39%; C3 1.85%; C4 4.18% (overall 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: numerator shown as a dash, denominator 0, rate \"Undefined\", with the reason (no product maps to C5, 0 / 0, Definition 5, not 0%)",
      "reference": "undefined with reason"
    },
    {
      "id": "J1",
      "check": "Duplicate-safe joins",
      "result": "PASS",
      "reason": null,
      "observed": "Dedup before join; returned units by category 244/460/160/288 (not the fan-out 248/472/167/293); P1 also explains the fan-out trap and quantifies it (1,180 vs 1,152)",
      "reference": "naive_fanout_returned_units 248/472/167/293 = wrong signature"
    },
    {
      "id": "J2",
      "check": "Complete output groups",
      "result": "PASS",
      "reason": null,
      "observed": "All 5 categories, 4 regions and 6 months present in every table (C5 kept in P2 and P3)",
      "reference": "5 / 4 / 6"
    },
    {
      "id": "J3",
      "check": "No invented period or financial values",
      "result": "PASS",
      "reason": null,
      "observed": "No money amounts, no revenue figures, no July-December values or zeros in text, chat tables, CSV, PNG or XLSX (grep of all assistant text and the files). \"mid-August\" appears once in P1 only as the time the data would have to be extended to for a complete 45-day return window (a caveat, not a filled value).",
      "reference": "no revenue, no Jul-Dec values"
    },
    {
      "id": "F1",
      "check": "Chart agrees with checked monthly totals",
      "result": "PASS",
      "reason": null,
      "observed": "PNG: six bars Jan 2026 to Jun 2026, y axis 0-10K (\"Units sold\"), endpoints labelled 3,456 and 8,559, nothing after June; bar heights read by pixel measurement 3447/3744/4859/5627/6803/8550 (within 1 px of 3456/3761/4872/5643/6815/8559); the generating script and CSV plot the same six values; the native Excel chart (Summary!D5:D10, cached points 3456 ... 8559) matches",
      "reference": "units_by_month unique_units"
    },
    {
      "id": "F2",
      "check": "Exactly three supported findings",
      "result": "FAIL",
      "reason": null,
      "observed": "Three findings, numbered 1-3. All figures reconcile: Jan 3,456 -> Jun 8,559 (+148%, 2.5x), June 25.9% of 33,106, Q2 21,017 vs Q1 12,089 (+74%); lines 1,215 -> 3,143 (2.6x), units per line 2.72-2.84 (2.76), June/Jan 2.0x (Pet Supplies) to 2.8x (Outdoor) and 2.3x (South) to 2.8x (West), dips Pet Supplies Feb and West Apr; 1,152 / 33,106 = 3.48%, lag 0-45 d median 16, June returns 417 and 4.87%, June order cohort 3.00% vs 3.35-4.44%, 35.6% after 16 May. ONE comparison is wrong: finding 3 says returns dated in June (417 units) \"are largely May's orders\"; in the saved data 146 units (35.0%) come from May orders, 257 units (61.6%) from June orders and 14 from April.",
      "reference": "units_by_month; return_rate_by_order_month; returned_units_by_return_month; June returns split by order month recomputed from the CSVs (verification/verify_p1_output.json june_returns_by_order_month_units)"
    },
    {
      "id": "W1",
      "check": "Reproducible supplied working",
      "result": "PASS",
      "reason": null,
      "observed": "(1) P2 SQL block, unchanged, run in sqlite over the five sheets loaded as tables sales/products/categories/regions: total 33,106, 6 months, 5 categories incl. Seasonal Gifts 0, 4 regions = reference. (2) P2 pandas block: unchanged it raises NameError (pd and path are never defined, it is a fragment); with only `pd` and `path` supplied it runs and gives 12,120 -> 12,000, 33,106 and all month/category/region values = reference. (3) P4 delivered build_summary.py, run UNCHANGED on the frozen workbook (uv env pandas/openpyxl/matplotlib, python -I): exit 0, CSV byte-identical to the delivered CSV, regenerated XLSX after LibreOffice recalculation has 0 differences over 78,018 cells vs the delivered XLSX recalculated, regenerated chart bars within 1 px of reference. (4) P4 inline snippet: NameError unchanged (no import), correct with `pd` supplied: six monthly values and 33,106.",
      "reference": "all units_by_*"
    },
    {
      "id": "W2",
      "check": "Working agrees with reported counts and tables",
      "result": "PASS",
      "reason": null,
      "observed": "Working matches numbers: 12,120 -> 120 duplicates -> 12,000; duplicates by month 12/10/21/21/26/30 (sum 120, recomputed); totals reconcile; SQL cross-check claimed identical and re-run by me with identical output",
      "reference": "12120 / 12000; grand_total"
    },
    {
      "id": "E1",
      "check": "Delivered files retrieved and reopened",
      "result": "PASS",
      "reason": null,
      "observed": "Four files delivered (PNG 95,213 B; XLSX 477,473 B; CSV 233 B; PY 29,877 B), each fetched in-page (in-page SHA-256 = VM SHA-256) and reopened with independent readers (csv, openpyxl, LibreOffice 24.2 headless). CSV monthly lines/units = reference; XLSX Summary monthly units/lines, month x category, month x region, By Category (returned units, rates, C5 \"Undefined\"), By Region = answer-key; values equal the chat tables",
      "reference": "units_by_month/category/region; return_rate_by_category/region"
    },
    {
      "id": "E2",
      "check": "XLSX summary values",
      "result": "PASS",
      "reason": null,
      "observed": "XLSX produced (\"sales_returns_summary_2026H1.xlsx\", 10 sheets), opens in openpyxl and LibreOffice, 15,172 formulas, 0 error values, values = reference",
      "reference": "as E1"
    },
    {
      "id": "E3",
      "check": "Claimed workbook editability",
      "result": "PASS",
      "reason": null,
      "observed": "Claim: formula-driven (15,172 formulas, zero errors), native Excel chart, \"change a unit on Sales_dedup and every table recalculates\". Inspected: 15,172 formulas confirmed (94 Summary, 20 Findings, 37 By Category, 20 By Region, 12,000 Sales_dedup lookups, 3,000 Returns lookups, 1 Method), a native bar chart (xl/charts/chart1.xml, refs Summary!D5:D10 and A5:A10). Controlled change: Sales_dedup!E2 1 -> 11 (P10, Outdoor, East, January), LibreOffice recalculation: Summary Jan 3,456 -> 3,466, total 33,106 -> 33,116, Outdoor 8,535 -> 8,545, East 7,271 -> 7,281, return rates and Findings figures update, chart cache 3,466; 25 cells changed, all dependents",
      "reference": "claim holds"
    }
  ],
  "scoringNote": "22 separate checks: 21 PASS, 1 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; the one failed check is a wrong comparison in the written findings (F2): June returns are not 'largely' May's orders (146 units, 35%, are; 257, 62%, are June orders). The workbook's Findings sheet words it correctly. The pandas fragments in the chat text need pd and path supplied, and the scripts named at sandbox paths were not delivered to the user.",
  "files": [
    {
      "name": "build_summary.py",
      "bytes": 29877,
      "sha256": "ce10067d49e66cf37d590caf0d6a9c5c365c851932f39f319427a9bbe1d28346",
      "url": "/blog/best-ai-model-for-data-analysis/r2-claude/build_summary.py",
      "kind": "Unmodified app-delivered file"
    },
    {
      "name": "sales_returns_summary_2026H1.xlsx",
      "bytes": 477473,
      "sha256": "c0876e77b002896745f48cc67de230b1cc105cc26a75c70bc546be60d9e61798",
      "url": "/blog/best-ai-model-for-data-analysis/r2-claude/sales_returns_summary_2026H1.xlsx",
      "kind": "Unmodified app-delivered file"
    },
    {
      "name": "units_sold_by_month_2026H1.csv",
      "bytes": 233,
      "sha256": "e0a56bc9adcd6499f337cd72b6a7064e5a4041fa036906bcbd254d65fd6d3f96",
      "url": "/blog/best-ai-model-for-data-analysis/r2-claude/units_sold_by_month_2026H1.csv",
      "kind": "Unmodified app-delivered file"
    },
    {
      "name": "units_sold_by_month_2026H1.png",
      "bytes": 95213,
      "sha256": "7544fb30cbe2a946ab6faa4dc6930c82ddb6d29228ba2ca178b64eaaf88aa800",
      "url": "/blog/best-ai-model-for-data-analysis/r2-claude/units_sold_by_month_2026H1.png",
      "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": 15172,
    "errorCells": 0,
    "nativeCharts": 1,
    "controlledChange": "One source cell changed from 1 to 11 on a copy; after LibreOffice recalculation January 3,456 to 3,466 and the grand total 33,106 to 33,116, with the rates, findings figures and chart cache updated",
    "deliveredScriptRerun": "Ran unchanged on the frozen workbook; CSV byte-identical; regenerated workbook recalculated equals the delivered workbook recalculated",
    "independentSecondCheck": "writer-r2-claude-independent-verification.json (separate script) confirms every monthly, category, region and rate value and the 15,172 formulas; the F2 comparison was recomputed from the CSVs (146 / 417 and 257 / 417)"
  },
  "usageAndPrice": "Settings Usage showed Max (20x); shared-account usage cannot be attributed to this workflow alone. 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."
  ]
}