Reports API

  • Host:
  • Protocols: https
  • Accepts: application/x-www-form-urlencoded

The Reports API on the TerminalOne Platform allows advertisers to access, query and aggregate reporting data. It is also the API that powers all reporting seen on our TerminalOne flagship UI.

The Reports API offers a number of reports. Each report offers its own pre-aggregated, time-based metrics on entites that users can query. A query can filter, aggregate, sort, paginate, and format this data.

It is a read-only system meaning no request against it can alter the data in any way.

It is also a metadata-driven system. The supported reports are described in a human- and machine-readable format. This ensures easy one-off and repeatable programmatic data querying. It also provides a way for clients to adapt to changes in reports programmatically. This gives client-developers the ability to create UIs that provide useful operational feedback in a navigable and understandable way.

The $API_BASE for the latest version of Reports API is


See OAuth Authentication

MediaMath is in the process of migrating all APIs to OAuth2, but some APIs are not fully migrated. To mitigate that, make a request to with the Authorization:"Bearer ACCESS_TOKEN" header. Copy the adama_session cookie header from the response.

Use both the Authorization:"Bearer ACCESS_TOKEN" header and adama_session= cookie in all future requests to the reporting API.

Reports update schedule

The table below shows when TerminalOne Performance reports are updated. A campaign’s reporting data is updated once per day, with a full view of the previous day’s reporting data. This is based on the time zone of the campaign. The table below displays, based on the campaign’s time zone, the time at which updated performance data will be available. There is an exception, AUS EST, which may not capture the full previous day but will complete with the next day’s update.

Campaign Time Zone Report Update Time


Report data is stored and output in a tabular format. This means that the output consists of rows and columns. Every row has a value for every column.

The structure object can be used to determine the columns a report can output. Its fields are divided among three mappings - time_field, dimensions, and metrics. Each mapping, maps field name to #model:Fqbi8siNTuFGqA2W5.

  "time_rollups" : [ "by_day", "by_week", "by_month", "all" ],
  "time_windows" : [ "yesterday", "last_X_days", "month_to_date", "campaign_to_date" ],
  "timezone" : "campaign timezone",
  "time_aggregation" : "by_day",
  "structure" : { 
    "time_field" : { 
      "date" : { 
        "name" : "Date",
        "type" : "datetime"
    "dimensions" : {
      "campaign_id" : { ... },
      "campaign_name" : { ... },
      "strategy_id" : { ... },
      "strategy_name" : { ... }
    "metrics" : { 
      "clicks" : { ... },
      "impressions" : { ... }

Time Field

The time field represents the time-component of the report’s metrics. There is (currently) only one time field for each report. It can be of one of these data types: datetime or interval. Its data type determines the type of report (datetime or interval based report).

Note: The type of report is not to be confused with the Type attribute. The Type attribute is purely informational.

The time field was distinguished from the dimension fields to allow its use in grouping and filtering rows easier to understand. It gets its own set of parameters and language.

datetime-typed Time Fields

Datetime-typed time fields contains a combination of year, month, day, and possibly down to hour, minute and second. The time_aggregation property indicates the field’s finest grain (by_hour, by_day, etc). The time_rollups property indicates the available grouping options that can go beyond the time_aggregation of the report.

time_rollup=by_week     ### group rows by the week  -  week starts on Monday 
time_rollup=by_month    ### group rows by the month
time_rollup=all         ### produces at most one row of output per combination of dimension fields
                        ### listed in the dimensions parameter

The time field for these reports are typically represented in the output by a start_date and end_date column. The format of the column will depend on the time window and time_rollup.

  • YYYY-MM-DD hh:mi:ss

The only exception to this rule is detailed in the Special Time Windows section.

The timezone of the start_date and end_date columns will match the timezone property.

interval-typed Time Fields

interval-typed time fields, contain a predefined non-calendar date based aggregation (1 day, 7 days, 30 days, and so on). In this case, the only accepted way to specify a time interval is by using the parameter time_window. The only value supported for the parameter time_rollup for interval-based reports is all.

The time field for these reports are represented in the output by a interval column. The value of the column will depend on the time_window chosen. The following gives example column values based on the time_window.

  • yesterday - 1
  • last_7_days - 7
  • last_30_days - 30
  • campaign_to_date - CTD
  • flight_to_date - FTD

Filtering with the Time Field

The API requires the specification of a time window in order to narrow the data set operated on. A time window must be specified in one of the two possible ways.

  • start_date and end_date (optional - defaults to “yesterday”).
  • time_window may be set to one of the formats defined by the time_windows attribute.
###  operate on data timestamped between Jan 01, 2013 and Feb 01, 2013, inclusive
###  operate on data timestamped between May 05, 2013 and yesterday, inclusive
###  other usage examples 
start_date and end_date

start_date and end_date may only be used when the report’s time field is of the datetime type. They may not be used when the report’s time field is of the interval data type. This is because the time_windows are pre-defined intervals that cannot be split.

The start_date and end_date parameters define inclusive boundaries for the data. In order to ease the burden of calculating an inclusive end, the inputs may be specified at various granularities.

  • month - YYYY-MM
  • day - YYYY-MM-DD
  • hour - YYYY-MM-DDThh
  • minute - YYYY-MM-DDThh:mi
  • second - YYYY-MM-DDThh:mi:ss

Each granularity matches a substring of the ISO 8601 format.

If the report is at a coarser granularity (see time_aggregation) than the input, the input will be taken to mean the entirety of the time unit.

# ie. start_date=2016-04-12T01:30:00&end_date=2016-04-12T02:30:00
# For a report with a time_aggregation of by_hour:
# 2016-04-12T01:00:00 to 2016-04-12T02:59:59.
# For a report with a time_aggregation of by_day:
# 2016-04-12T00:00:00 to 2016-04-12T23:59:59

All values mentioned in the time_windows array will be accepted verbatim by the time_window parameter with the exception of any time window that starts with last_X_. They may be interpreted as such.

  • The last_X_days time window ends yesterday (inclusive) and starts X days before that.
  • The last_X_hours time window ends at the previous hour (inclusive) and starts X hours before that.

Future windows of this type may be defined following this nomenclature, but for different units. Rules for the time window may vary slightly.

Special Time Windows

The following time_windows are considered to be special time windows.

  • campaign_to_date
  • flight_to_date

For reports with a datetime-typed time_field, the start_date and end_date columns that would normally be present, will be replaced by the interval column. Additionally, the following validation rules apply when a special time_window is chosen.

  • The results will have an interval column instead of start_date and end_date columns.
  • The time_rollup parameter must be set to all.
  • Any mention of the time_field for the report in the order parameter will be rejected.

Dimension Fields

Dimension fields describe an entity. The example reports provide dimension fields for campaign, and strategy entities. Dimension fields are used to group rows during aggregation in conjunction with the time field.

Metric Fields

Once the rows have been grouped. The metric fields are calculated based on the values of the group’s underlying rows. These calculations are generally sums or averages. These fields are usually a numeric data type.

Data Types

The id type allows any character except whitespace.

The datetime type may be filtered by dates, or datetimes in either of the following ISO 8601 based formats.

  • date - YYYY-MM-DD
  • datetime - YYYY-MM-DDThh:mi:ss

Year, month, and day are all 1-based. Hour, minute, and second are all 0-based. Valid hours are 0-23.

The dimension fields of the datetime type will always be output in the aforementioned datetime format. The output columns for the time field will be output in the same format, but without the separating ‘T’.

Field Data Type Groupings

This documentation may refer to multiple data types via a group name. The following table details the group names.

Group Data Types
float float, money, percent, ratio
integer integer, count, rank
numeric float and integer groups
date datetime
string string, interval
id id
bool bool, boolean