Two catalog files. Exact SKU matches. Clear exceptions. This synthetic demonstration shows a small CSV reconciliation with FreelanceAgent: a 3-row master catalog and a 3-row reference file, listed in different orders. The agreed rules: match sku to code exactly; update only price from cost and stock from quantity. Keep unmatched master rows and report unused reference rows. What changed: • 00123: price 12.50 → 12.70; stock 5 → 15. • B02: price 00.90 → 00.95; stock 3 → 0. • B03: no reference match, so the entire row stayed unchanged. • EXTRA: reference-only SKU, reported rather than appended. Result: 2 matched rows, 4 updated cells, 1 unmatched master row and 1 unused reference row. All 3 master rows kept their original order. The key 00123 kept its leading zeros; names and all other cells were preserved. Independent QA rebuilt the match relation and compared every output cell. All 13 checks passed, including exceptions, untouched cells and the output hash. The attached visual shows the actual saved inputs and result. This is an AI-assisted synthetic demonstration, not client work or a performance benchmark. The published service supports two UTF-8 CSV files with an agreed shared dialect, or two flat JSON arrays with string values. Matching uses unique, nonempty, case-sensitive string SKUs; no fuzzy matching or live system updates. Need to reconcile two catalog exports? Share the file formats and which fields may change through the service. Scope and pricing are agreed before work: https://contra.com/s/A73oAkkc-csvjson-sku-reconciliation-or-exact-matching-and-qa #CSV #JSON #DataReconciliation