---
title: "Get Experiment results time series"
method: GET
path: "/experiments/{experiment_id}/timeseries"
tags: ["Experiments"]
---

# Get Experiment results time series

`GET /experiments/{experiment_id}/timeseries`

Get results time series for a single Experiment

## Path parameters

- `experiment_id` integer, required

## Query parameters

- `baseline_variation_id` string, int64
- `start_time` string, date-time
- `end_time` string, date-time
- `browser` 'firefox' | 'chrome' | 'internet_explorer' | 'opera' | 'safari'
- `device` 'desktop' | 'ipad' | 'iphone' | 'mobile' | 'tablet'
- `source` 'campaign' | 'direct' | 'referral' | 'search'
- `attribute_id` integer
- `attribute_value` string
- `segment_conditions` string

## Response `200`

Return Experiment results time series

- ExperimentTimeseries
  - `confidence_threshold` number, double — The significance level at which you would like to declare winning and losing variations. A lower number minimizes the time needed to declare a winning or losing variation, but increases the risk that your results aren't true winners and losers.
  - `end_time` string, date-time — End of the time interval (exclusive) used to calculated the results. The time is formatted in ISO 8601.
  - `experiment_id` integer — The unique identifier for the Experiment
  - `is_stale` boolean — When true, indicates the results were delivered from a cache that is out of date.
  - `metrics` ExperimentMetricTimeseries[] — The breakdown of Experiment results time series by metric
    - `aggregator` 'unique' | 'count' | 'sum' | 'bounce' | 'exit' | 'ratio' — The aggregation function for the numerator of the metric. 'unique' measures the number of unique visitors/sessions that include the specified Event. 'count' measures the total number of occurrences of Event for the scope (visitor/session). 'sum' is the sum of the 'field' value
    - `event_id` integer, nullable — The ID for the Event to select data from. Omitted for global metrics that are not relative to a specific Event, i.e. "overall revenue"
    - `event_properties` MetricEventProperties — The conditions used to filter the metric on specific event property values.
      - `filter` MetricFilter — The set of event property conditions a conversion must match to be counted toward the metric.
        - `combine_operator` 'and' | 'or' — Determines whether all conditions (and) or any condition (or) must be met.
        - `conditions` MetricFilterCondition[]
          - `name` string — The name of the event property to match to.
          - `operator` 'equal_to' | 'not_equal_to' | 'greater_than' | 'greater_than_or_equal_to' | 'less_than' | 'less_than_or_equal_to' | 'contains' | 'does_not_contain' — The type of match to be performed. equal_to and not_equal_to are available for all property types. greater_than, greater_than_or_equal_to, less_than, and less_than_or_equal_to are only available for properties with type number. contains and does_not_contain are only available for properties with type string.
          - `type` 'boolean' | 'number' | 'string' — The data type of the event property.
          - `value` string — The value the conversion's property should match, according to the operator.
    - `field` 'revenue' | 'value' — The field to aggregate for the numerator of the metric. Required when 'aggregator' = 'sum', otherwise omitted
    - `metrics` CompoundSubMetric[] — A list of all metrics that will be used in the calculation of a ratio metric.
      - `aggregator` 'unique' | 'count' | 'sum' — The aggregation function for the numerator of the metric. 'unique' measures the number of unique visitors/sessions that include the specified Event. 'count' measures the total number of occurrences of Event for the scope (visitor/session). 'sum' is the sum of the 'field' value.
      - `event_id` integer, nullable — The ID for the Event to select data from.
      - `event_type` 'custom' | 'click' | 'pageview' — The type of this Event.
      - `field` 'revenue' | 'value', nullable — The field to aggregate for the numerator of the metric. Required when 'aggregator' = 'sum', otherwise omitted.
      - `scope` 'session' | 'visitor' | 'event' — Specifies how Events should be grouped. Can also be thought of as the denominator of the metric. 'session' divides by the number of sessions. "Influenced sessions", or sessions that do not contain a decision Event but carry a decision from a previous session are not included in counts for numerator or denominator. 'visitor' divides by the number of visitors. 'event' divides by the total occurrences (impressions) of the specified Event.
    - `name` string — The name of the Metric
    - `results` object — A map of results for each variation in the Experiment keyed by variation ID. For Personalization Campaigns, the special variant 'baseline' represents visitors that have been held back from any change in experience for the Experiment
    - `scope` 'session' | 'visitor' | 'event' — Specifies how Events should be grouped together. Can also be thought of as the denonimator of the metric. 'session' divides by the number of sessions. "Influenced sessions", or sessions that do not contain a decision Event but carry a decision from a previous session are not included in counts for numerator or denominator. 'visitor' divides by the number of visitors. 'event' divides by the total occurrences (impressions) of the specified Event
    - `time_window` string — The maximum amount of time a numerator event can differ from a denominator event in order to be included in a ratio metric. This can be an integer, or an integer followed by a letter denoting the unit of time (d = days, h = hours, m = minutes). If no unit of time is supplied, hours is assumed. If no value is supplied, a time window of 48 hours is assumed.
    - `winning_direction` 'increasing' | 'decreasing' — The winning direction of this metric
  - `start_time` string, date-time — Start of the time interval (inclusive) used to calculate the results. The time is formatted in ISO 8601.
  - `stats_config` StatsConfig — Stats Engine configuration settings
    - `confidence_level` number
    - `difference_type` 'absolute' | 'relative' — The type of test to compare the variant to baseline
    - `epoch_enabled` boolean — Indicates if epoch-based statistics were used

## Other responses

- `202` — The results request has been received but has not yet finished processing. Wait a bit and try again.
- `204` — There are no results data for this Experiment yet. Make sure the Experiment is started and try again later
- `default` — Unexpected error

---

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