> ## Documentation Index
> Fetch the complete documentation index at: https://docs.aimventory.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Marketplace Data

> Upload a list of shoes and pull live resale prices (StockX/GOAT lowest ask and highest bid) for each size, so you can price with real market numbers.

Upload a list of shoes and pull live resale prices (StockX/GOAT lowest ask and highest bid) for each size, so you can price with real market numbers.

**Where to find it:** [Open Marketplace Data in AIM](https://aimventory.com/marketplace-data) — you will be asked to sign in first.

## What you can do here

* Upload a spreadsheet (CSV) of shoes you want prices for
* Let AIM match each row to the right catalog product, and fix any wrong matches
* Pull current StockX and GOAT prices for every size
* Download the results as a spreadsheet, or reopen a past pull anytime

## Buttons, fields, and controls

| Control            | Where               | What it does                                                         | When to use it                                                     |
| ------------------ | ------------------- | -------------------------------------------------------------------- | ------------------------------------------------------------------ |
| Search             | Filters             | Finds marketplace-data rows by product, SKU, or style code.          | Use it when checking a specific product before pricing or listing. |
| Marketplace        | Filters             | Filters market data by StockX, GOAT/Alias, or another channel.       | Use it when one marketplace has stale or missing market prices.    |
| Refresh            | Page actions        | Reloads market data from AIM.                                        | Use it after requesting updates or changing filters.               |
| Update Market Data | Row or bulk actions | Requests fresh ask, bid, or availability data for selected products. | Use it when pricing decisions depend on current market prices.     |
| Export CSV         | Page actions        | Downloads the current market-data view.                              | Use it for pricing review, buyer sheets, or offline audits.        |
| View product       | Market data row     | Opens the product tied to the market-data row.                       | Use it when you need setup, inventory, or listing details.         |

## How to: Pull market prices for a list of shoes

1. Click "Select CSV file" and upload your spreadsheet of shoes (one row per size).
2. Under Match Columns, tell AIM which column is the product name, which is the size, and (if you have one) the SKU.
3. Click "Find Matches" — AIM looks up each row in the StockX/GOAT catalog and suggests a match.
4. Skim the "Match" column. Anything wrong or blank: click the magnifying glass to search and pick the correct shoe.
5. Click "Fetch Market Data" to fill in the live prices for every row.

<Tip title="Real-world example">
  Upload 20 rows of Jordan 4 sizes. After Find Matches and Fetch Market Data, size 10 shows a StockX Lowest Ask of $215 and a GOAT Lowest Ask of $208 — so you know roughly where the market sits before you price it.
</Tip>

## How to: Fix a wrong or missing match

1. Find the row where the "Match" column is empty or shows the wrong shoe.
2. Click the magnifying glass (search) button on that row.
3. Type the shoe name or style code, pick the right result, and it replaces the match.
4. Re-run "Fetch Market Data" so that row gets correct prices.

<Tip title="Real-world example">
  A row for "AJ1 Chicago" matched to the wrong colorway. Search "Jordan 1 Chicago 555088-101", pick it, then Fetch Market Data — now the prices are for the right pair.
</Tip>

## How to: Save and reopen a pull

1. Every time you run Find Matches or Fetch Market Data, the result is saved under "Past Pulls" on the left.
2. Click a past pull to reload all its rows, matches, and prices.
3. Use the pencil to rename a pull so it is easy to find later.
4. Click "Export CSV" to download the current results as a spreadsheet.

<Tip title="Real-world example">
  Rename today’s 120-row pull to "July Jordan pricing review". Reopen it tomorrow, refresh the market data, and export the updated rows for your buyer.
</Tip>

## Good to know

* Lowest Ask is the cheapest price someone is currently selling at — it is the number most stores price against. Highest Bid is the most a buyer is offering right now.
* Better matches mean better prices: if the matched product is wrong, the prices will be for the wrong shoe.
* A SKU (style code) in your spreadsheet makes matching far more accurate than a name alone.
* Prices shown are pulled at the moment you run "Fetch Market Data" — run it again later for fresh numbers, since the market moves daily.

## Where to go next

* [Automatic Pricing](https://aimventory.com/settings/pricing?tab=automatic)
* [Inventory](/inventory/inventory)