Latest carts with a specific product from a specific market

How to use the Metrics API to get the most recently created carts containing a specific SKU, from a specific market

The problem

You want to get the last ten created carts that contain a specific product and are associated with a specific market, over a selected date and time range, chronologically ordered by date of creation.

The solution


You need to perform a search query setting the required query keys as follows and adding the optional ones based on your needs:






If you want to focus on some specific information about the carts you're searching for, just fill in the fields array with the list of attributes you want to get in the response.


Set the desired date and time range using the date_from and date_to keys and add an additional filter on the line items field to restrict the related search on carts that contain the desired SKU only:



"in": [ "TSHIRT0001" ]

Then add an additional filter on the market field to restrict the related search on the carts associated with the selected market only:



"in": [ "North America" ]

In the example below, since the date_field isn't specified in the date filter, the default value current_date will be used, meaning that the results will count all the orders that changed their status within the selected date and time range (read more about this).


The following request uses the Metrics API to get the latest carts containing a specific SKU and associated with a specific market:

curl -g -X POST \
  'https://{{your_domain}}' \
  -H 'Accept: application/vnd.api.v1+json' \
  -H 'Content-Type: application/vnd.api+json' \
  -H 'Authorization: Bearer {{your_access_token}}' \
  -d '{
    "search": {
      "limit": 10,
      "sort": "desc",
      "sort_by": "order.created_at",
      "fields": [ "order.created_at", "order.status", "order.total_amount_with_taxes", "", "market.*", "line_items.*" ]
    "filter": {
      "order": {
        "date_from": "2021-01-01T00:00:00Z",
        "date_to": "2021-12-31T23:59:00Z"
      "line_items": {
        "codes": {
          "in": [ "TSHIRT0001" ]
      "market": {
        "names": {
          "in": [ "North America" ]

Similar cases

Just changing a couple of query keys and/or filter parameters you can address lots of very similar use cases, such as:

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