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Lists elements for a trace dimension
get

Lists the elements (values) for a trace dimension along with their total counts. This endpoint is specifically designed for trace dimensions like video_cdn_trace that contain arrays of values.

Request path & query params
DIMENSION_ID
string

ID of the Dimension

limit
integer
(default: 25)

Number of items to include in the response

filters[]
array

Filter results using key:value pairs. Must be provided as an array query string parameter.

Basic filtering:

  • filters[]=dimension:value - Include rows where dimension equals value
  • filters[]=!dimension:value - Exclude rows where dimension equals value

For trace dimensions (like video_cdn_trace):

  • filters[]=+dimension:value - Include rows where trace contains value
  • filters[]=-dimension:value - Exclude rows where trace contains value
  • filters[]=dimension:[value1,value2] - Exact trace match

Examples:

  • filters[]=country:US - US views only
  • filters[]=+video_cdn_trace:fastly - Views using Fastly CDN
metric_filters[]
array

Limit the results to rows that match inequality conditions from provided metric comparison clauses. Must be provided as an array query string parameter.

Possible filterable metrics are the same as the set of metric ids, with the exceptions of exits_before_video_start, unique_viewers, video_startup_failure_percentage, view_dropped_percentage, and views.

Example:

  • metric_filters[]=aggregate_startup_time>=1000
timeframe[]
array

Timeframe window to limit results by. Must be provided as an array query string parameter (e.g. timeframe[]=).

Accepted formats are...

  • array of epoch timestamps e.g. timeframe[]=1498867200&timeframe[]=1498953600
  • duration string e.g. timeframe[]=24:hours or timeframe[]=7:days
order_by
string
Possible values: "negative_impact""value""views""field"

Value to order the results by

order_direction
string
Possible values: "asc""desc"

Sort order.

get
200
/data/v1/dimensions/{DIMENSION_ID}/elements
Response
(application/json)
{
  "total_row_count": 25,
  "timeframe": [
    1755069000,
    1755155999
  ],
  "data": [
    {
      "value": "cdn_a",
      "total_count": 2640882
    },
    {
      "value": "cdn_b",
      "total_count": 1368812
    },
    {
      "value": "cdn_c",
      "total_count": 154541
    }
  ]
}