The Scenario
You're a resale arbitrage analyst. Your manager sent a Slack message at 8:47 AM asking which of the 25 Air Jordan SKUs in the ArbitrageSheet offers a better net margin on GOAT versus StockX this week — and whether it's different by size. The quarterly review deck is being finalized today.
Column A has the SKUs. Columns B and C are empty.
The bad version:
- Open GOAT in one tab, StockX in another, search the first SKU in both, write the numbers into the sheet, move to row two
- Realize GOAT prices vary by size and you need to decide which size to represent in column B — pick the most common size and hope that's what your manager meant
- Get to row 15 and notice you've been comparing GOAT "last sale" to StockX "lowest ask" — two different data types — for the last twenty minutes
The quarterly deck is waiting on this table. Fixing a comparison methodology error halfway through isn't something you can absorb right now.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Google Sheet. It reads your data and, through its Retailed integration, can hit both GOAT and StockX in a single coordinated query.
For each SKU in column A of the ArbitrageSheet, fetch the GOAT prices by size via Retailed and write them in column B, then search StockX for the same SKU and write the StockX lowest ask in column C so I can see the difference
What You Get
- Column B: GOAT low ask for the most liquid size
- Column C: StockX lowest ask for the same SKU
- Where pricing varies meaningfully by size, a note in column D flags the range rather than collapsing it to a single number
- Rows where one platform has no listing are marked explicitly, not left blank
What If the Data Is Not Quite Ready
You need size-specific comparison, not a single per-SKU number
For each SKU in column A of the ArbitrageSheet, fetch GOAT and StockX prices by size via Retailed and expand each SKU into separate rows by size in the SizeBreakdown sheet, with columns for SKU, size, GOAT ask, and StockX ask
Some SKUs in column A have trailing whitespace or mixed case
Clean any whitespace or casing inconsistencies in column A of the ArbitrageSheet, then fetch GOAT and StockX lowest asks for each SKU via Retailed and write results into columns B and C
You want to flag SKUs where the arbitrage spread is over $30
Fetch GOAT and StockX lowest asks for each SKU in column A of the ArbitrageSheet via Retailed, write them into columns B and C, subtract C from B, write the spread into column D, and flag any row in column E where the spread exceeds 30
Full analysis run: clean SKUs, fetch both platforms, calculate spread, sort by opportunity
Normalize column A of the ArbitrageSheet, fetch GOAT and StockX lowest asks via Retailed into columns B and C, calculate the price spread in column D, then sort the sheet by column D descending so the highest-margin opportunities appear at the top
Two platforms, one pass, sorted by opportunity — ready before the deck needs to be finalized.
Try It
Get the 7-day free trial of SheetXAI and open your arbitrage sheet — the one with the SKU list you're always cross-referencing manually — and ask SheetXAI to pull GOAT and StockX pricing side by side. Also useful: Bulk fetch StockX prices for an inventory list and the Retailed integration hub.