Reference

user_activities_analytics endpoint

Returns a customized report of your Activities analytics event data. The data returned from the API is as a table with columns for the requested dimensions and metrics. Metrics are individual measurements of UserActivity, such as active users or sessions count. Dimensions break down metrics across some common criteria, such as day or channel.

POST https://api.mediarithmics.com/v1/datamarts/:datamartId/user_activities_analytics

Query Parameters

Name	Type	Description
datamartId*	number	The ID of the datamart to query

Request Body

Name	Type	Description
metrics*	array	Array of Metric to retrieve.
dimension_filter_clauses	object	Filters to apply on dimensions before calculating the metric. For more information, see FilterClause.
dimensions*	array	Dimensions to group metrics by.
date_ranges*	array	Periods to analyze. Each date range is an object with a start_date and an end_date. See DateRange.

200

{
    "status": "ok",
    "data": {
        "report_view": {
            "items_per_page": 100,
            "total_items": 7,
            "columns_headers": [
                "type"
            ],
            "rows": [
                [
                    "DISPLAY_AD"
                ],
                [
                    "EMAIL"
                ],
                [
                    "SITE_VISIT"
                ],
                [
                    "USER_SCENARIO_NODE_ENTER"
                ],
                [
                    "USER_SCENARIO_NODE_EXIT"
                ],
                [
                    "USER_SCENARIO_START"
                ],
                [
                    "USER_SCENARIO_STOP"
                ]
            ]
        }
    }
}

POST https://api.mediarithmics.com/v1/datamarts/:datamartId/user_activities_analytics

Query Parameters

Name	Type	Description
datamartId*	number	h9wQyqalVBMp

Request Body

Name	Type	Description
metrics*	array	o5TPO6Hrysij
dimension_filter_clauses	object	8Gi22Dj6BNJp
dimensions*	array	dBZaT9GCysCI
date_ranges*	array	3gwAgLk173E8

platform_monitoring/collections endpoint

Returns a customized report of your Collection volumes. The data returned from the API is as a table with columns for the requested dimensions and metrics. Metrics are individual measurements of UserActivity, such as active users or sessions count. Dimensions break down metrics across some common criteria, such as date or collection.

POST https://api.mediarithmics.com/v1/platform_monitoring/collections

Request Body

Name	Type	Description
metrics*	array	Array of Metric to retrieve.
dimension_filter_clauses*	object	Filters to apply on dimensions before calculating the metric. For more information, see FilterClause.
dimensions*	Dimensions to group metrics by.	Dimensions to group metrics by.
date_ranges*	array	Periods to analyze. Each date range is an object with a start_date and an end_date. See DateRange.

200: OK

{
    "status": "ok",
    "data": {
        "report_view": {
            "items_per_page": 100,
            "total_items": 7,
            "columns_headers": [
                "date_time",
                "datamart_id",
                "collection",
                "count"
            ],
            "rows": [
                [
                    1637931755000,
                    9999,
                    "USER_POINT",
                    100
                ],
                [
                    1637931755100,
                    9999,
                    "USER_EVENT",
                    50
                ]
            ]
        }
    }
}

POST https://api.mediarithmics.com/v1/platform_monitoring/collections

Request Body

Name	Type	Description
metrics*	array	xjgU0Gn01X2g
dimension_filter_clauses*	object	15L2OkaiJVFf
dimensions*	Dimensions to group metrics by.	5asYSNhYhp1D
date_ranges*	array	A7QWMxNeFvGQ

Request body

JSON representation

{
    "date_ranges": [DateRange],
    "dimensions": [Dimension],
    "dimension_filter_clauses": FilterClause[DimensionFilter]
    "metrics": [Metric]
}

Fields

date_ranges[] object(DateRange)

Retrieve the data in the specified date range. Mandatory. The data is only queryable for the last 4 months. Only one range is allowed, but the API is prepared to accept multiple ranges in the future.

dimensions[] object(Dimension)

The list of dimensions. Mandatory, but can be an empty array.

dimension_filter_clauses object(FilterClause[DimensionFilter])

To express dimension filters. Should either have at least one filter, or is undefined.

metrics[] object(Metric)

The list of metrics. Mandatory, but can be an empty array.

Metrics without dimensions will calculate the metric for the whole data in the date ranges. Metrics with dimensions will calculate the metric for each dimension value.

You usually use dimensions without metrics to retrieve the possible values of a dimension.

DateRange

A contiguous set of days.

{
     "start_date": "2021-10-10T00:00:00",
     "end_date": "2021-10-25T23:59:59"
}

start_date string

The inclusive start date for the query in the format YYYY-MM-DDTHH:mm:ss.

end_date string

The inclusive end date for the query in the format YYYY-MM-DDTHH:mm:ss.

Dimension

Dimensions are attributes of your data. For example, the dimension channel_id indicates the channel on which activities are recorded.

{
    "name": "date_yyyy_mm_dd"
}

For a list of all available dimensions, see the documentation specific to the data cube you are using.

Metric

The quantitative measurements of a report. For example, the metric sessions is the total number of sessions.

{
    "expression": "users"
}

For a list of all available metrics, see the documentation specific to the data cube you are using.

FilterClause

A group of filters to apply in a request.

{
        "operator": "OR | AND", // Defaults to OR
        "filters": [DimensionFilter]         
}

operator enum

OR AND. Defaults to OR.

filters[] object(DimensionFilter)

List of filters to apply the operator on. At least one filter should be set.

DimensionFilter

To express a dimension filter, in a dimension_name operator expressions format.

{
  "dimension_name": string,
  "not": boolean,
  "operator": enum,
  "expressions": [String],
}

dimension_name string

The name of the dimension to filter on. For a list of all dimensions, see the documentation specific to the data cube you are using.

not boolean

Defaults to false. If set to true, the dimension filter will be evaluated with the dimension_name not operator expressions logic.

operator enum

Select one of the following queries:

• EXACT will force the dimension to match the first expression set

• LIKE will allow the dimension to only contain the first expression set

• IN_LIST will allow the dimension to be one of the expressions set

expressions[] string

One or more keywords to search for.

Examples

// TYPE should be DISPLAY_AD
 {
    "dimension_name": "TYPE",
    "not": false,
    "operator": "EXACT",
    "expressions": [
      "DISPLAY_AD"
    ]
  }

// TYPE should contain SITE
// SITE_VISIT activities will be used
 {
    "dimension_name": "TYPE",
    "not": false,
    "operator": "LIKE",
    "expressions": [
      "SITE"
    ]
  }

// TYPE should not contain SITE
{
  "dimension_name": "TYPE",
  "not": true,
  "operator": "LIKE",
  "expressions": [
    "SITE"
  ]
}

// CHANNEL_ID should be either 8888 or 6666
{
  "dimension_name": "CHANNEL_ID",
  "not": false,
  "operator": "IN_LIST",
  "expressions": [
    "8888",
    "6666"
  ]
}

ReportView

The API responds with a Single resource wrapper containing a report view as data.

{
    "status": "ok",
    "data": {
        "report_view": {
            "items_per_page": int,
            "total_items": int,
            "columns_headers": [string],
            "rows": [Row]
        }
    }
}

items_per_page int

The maximum number of items per page. Always 100 at the moment.

total_items int

The total number of items that are currently returned. Between zero and items_per_page as only the first page can be retrieved at the moment.

column_headers[] string

Used to know which dimension or metric is represented by each column in the rows

rows[] object(Row)

Each row represents a combination of dimensions value and their associated metrics.

Row

A row is created for each dimensions value combination, with the corresponding metrics.

Values are in the same order as column_headers of the ReportView.

 "rows": [
                [
                    // Date dimension
                    "2021-10-10",
                    // Channel ID dimension
                    666,
                    // users metric
                    3881,
                    // sessions metric
                    17800.0
                ],
                [
                    "2021-10-10",
                    555,
                    1838,
                    4200.0
                ],
                [
                    "2021-10-11",
                    666,
                    532,
                    3900.0
                ],
                [
                    "2021-10-11",
                    555,
                    8,
                    100.0
                ]
                // ...[
            ]