Returns timeseries data for a specific metric.
Each interval represented in the data array contains an array with the following values:
ID of the Metric
Timeframe window to limit results by. Must be provided as an array query string parameter (e.g. timeframe[]=).
Accepted formats are...
timeframe[]=1498867200&timeframe[]=1498953600timeframe[]=24:hours or timeframe[]=7:daysLimit the results to rows that match conditions from provided key:value pairs. Must be provided as an array query string parameter.
To exclude rows that match a certain condition, prepend a ! character to the dimension.
Possible filter names are the same as returned by the List Filters endpoint.
Example:
filters[]=operating_system:windows&filters[]=!country:USLimit 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>=1000Measurement for the provided metric. If omitted, the default for the metric will be used.
The default measurement for each metric is:
"sum" : ad_attempt_count, ad_break_count, ad_break_error_count, ad_error_count, ad_impression_count, playing_time
"median" : ad_preroll_startup_time, aggregate_startup_time, content_startup_time, max_downscale_percentage, max_upscale_percentage, page_load_time, player_average_live_latency, player_startup_time, rebuffer_count, rebuffer_duration, requests_for_first_preroll, video_startup_preroll_load_time, video_startup_preroll_request_time, video_startup_time, view_average_request_latency, view_average_request_throughput, view_max_request_latency, weighted_average_bitrate
"avg" : ad_break_error_percentage, ad_error_percentage, ad_exit_before_start_count, ad_exit_before_start_percentage, ad_playback_failure_percentage, ad_startup_error_count, ad_startup_error_percentage, content_playback_failure_percentage, downscale_percentage, exits_before_video_start, playback_business_exception_percentage, playback_failure_percentage, playback_success_score, rebuffer_frequency, rebuffer_percentage, seek_latency, smoothness_score, startup_time_score, upscale_percentage, video_quality_score, video_startup_business_exception_percentage, video_startup_failure_percentage, view_dropped_percentage, viewer_experience_score
"count" : started_views, unique_viewers
Sort order.
Time granularity to group results by. If this value is omitted, a default granularity is chosen based on the timeframe.
For timeframes of less than 90 minutes, the default granularity is minute. Between 90 minutes and 6 hours, the default granularity is ten_minutes. Between 6 hours and 15 days inclusive, the default granularity is hour. The granularity of timeframes that exceed 15 days is day. This default behavior is subject to change; it is strongly suggested that you explicitly specify the granularity.
{
"total_row_count": 2,
"timeframe": [
1610029711,
1610116111
],
"meta": {
"aggregation": "view_end"
},
"data": [
[
"2021-01-07T14:00:00Z",
"0.8743536882994202",
"154240"
],
[
"2021-01-07T15:00:00Z",
"0.8929105055911401",
"156056"
]
]
}