Orders by resource error code and message

How to use the Metrics API to check the errors associated with the orders of your organization (if any) .

The problem

You want to get the total number of orders over a selected date and time range, grouped by the associated resource error code. For each code, you also want to group the results by the related error message.

The solution

Query

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

Key	Value
by	resource_errors.code
field	order.id
operator	value_count

You also need to add a nested breakdown setting the related query keys as follows:

Key	Value
by	resource_errors.message
field	order.id
operator	value_count

Filter

Make sure to set the desired date and time range using the date_from and date_to keys in the filter.

As shown in the example below, use created_at as the date_field in the date filter if you want the results to count all the orders that were created in the selected date and time range (read more about this).

If you need to narrow the response to inspect some specific error codes only, you can add additional filters on the resource errors field (as shown in this example).

Try it on Postman 🚀

Example

Request

The following request uses the Metrics API to get the total number of orders, grouped by the associated resource error code and message:

curl -g -X POST \
  'https://{{your_domain}}.commercelayer.io/metrics/orders/breakdown' \
  -H 'Accept: application/vnd.api.v1+json' \
  -H 'Content-Type: application/vnd.api+json' \
  -H 'Authorization: Bearer {{your_access_token}}' \
  -d '{
    "breakdown": {
      "by": "resource_errors.code",
      "field": "order.id",
      "operator": "value_count",
      "limit": 100,
      "breakdown": {
        "by": "resource_errors.message",
        "field": "order.id",
        "operator": "value_count",
        "limit": 10
      }
    },
    "filter": {
      "order": {
        "date_from": "2021-01-01T00:00:00Z",
        "date_to": "2022-11-31T23:59:00Z",
        "date_field": "created_at"
      }
    }
  }'

Response

Filtering specific error codes

Request

The following request uses the Metrics API to get the total number of orders, grouped by the associated resource error code and message, filtering the ones related to some specific payment gateways only:

curl -g -X POST \
  'https://{{your_domain}}.commercelayer.io/metrics/orders/breakdown' \
  -H 'Accept: application/vnd.api.v1+json' \
  -H 'Content-Type: application/vnd.api+json' \
  -H 'Authorization: Bearer {{your_access_token}}' \
  -d '{
    "breakdown": {
      "by": "resource_errors.code",
      "field": "order.id",
      "operator": "value_count",
      "limit": 100,
      "breakdown": {
        "by": "resource_errors.message",
        "field": "order.id",
        "operator": "value_count",
        "limit": 10
      }
    },
    "filter": {
      "order": {
        "date_from": "2021-01-01T00:00:00Z",
        "date_to": "2022-11-31T23:59:00Z",
        "date_field": "created_at"
      },
      "resource_errors": {
        "codes": {
          "in": [
            "ADYEN_ERROR",
            "STRIPE_ERROR",
            "PAYPAL_ERROR"
          ]
        }
      }
    }
  }'

Response

Similar cases

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

• Total number of orders by market and payment method name

• Average order total amount by currency and country code

• Top 5 best-selling products in the best-selling markets

• Top 5 best-selling countries for the best-selling products

• Top 10 spenders by currencies

• Total number of refunds by country and currency code

• Total number of active returns by market name and return status

• Total number of carts by status and related amount stats by currency code

• Total number of pending carts by customer email and payment method name

• Total number of orders by status and payment status

• Total number of orders by shipment status and shipping method name