curl --request GET \
--url https://statsigapi.net/console/v1/autotunes/{id} \
--header 'STATSIG-API-KEY: <api-key>'{
"message": "Autotune Experiment read successfully.",
"data": {
"id": "my_autotunes_are_best",
"isStarted": false,
"description": "helpful summary of what this Autotune is",
"lastModifierID": "jd93DGSnvkauH9FijdGiajh",
"lastModifierName": "CONSOLE API",
"variants": [
{
"name": "red",
"json": {
"foo": "boo"
}
},
{
"name": "blue",
"json": {}
}
],
"successEvent": "purchase_item",
"successEventValue": "",
"explorationWindow": "1hr",
"attributionWindow": "2hrs",
"winnerThreshold": "99%"
}
}curl --request GET \
--url https://statsigapi.net/console/v1/autotunes/{id} \
--header 'STATSIG-API-KEY: <api-key>'{
"message": "Autotune Experiment read successfully.",
"data": {
"id": "my_autotunes_are_best",
"isStarted": false,
"description": "helpful summary of what this Autotune is",
"lastModifierID": "jd93DGSnvkauH9FijdGiajh",
"lastModifierName": "CONSOLE API",
"variants": [
{
"name": "red",
"json": {
"foo": "boo"
}
},
{
"name": "blue",
"json": {}
}
],
"successEvent": "purchase_item",
"successEventValue": "",
"explorationWindow": "1hr",
"attributionWindow": "2hrs",
"winnerThreshold": "99%"
}
}Optional header to respect review settings for mutation endpoints.
id
Read Autotune Success
A simple string explaining the result of the operation.
A single result.
Show child attributes
Detailed description of the configuration’s purpose.
The event you are trying to optimize for.
The value that should come with the event for it to be considered successful.
The initial time period where Autotune will equally split the traffic.
1hr, 24hr, 48hr, 168hr, 336hr, 1, 24, 48, 168, 336, 1hrs, 24hrs, 48hrs, 168hrs, 336hrs The maximum duration between the exposure and success event that counts as a success.
1hr, 2hr, 4hr, 24hr, 1hrs, 2hrs, 4hrs, 24hrs, 1, 2, 4, 24 The "probability of best" threshold a variant needs to achieve for Autotune to declare it the winner, stop collecting data, and direct all traffic.
80%, 90%, 95%, 98%, 99% ID
Type of ID
ID of the last modifier.
Time of the last modification.
Email of the last modifier.
Name of the last modifier.
ID of the user who created the entity.
Timestamp when the entity was created.
Name of the creator.
Email of the creator.
Is the autotune experiment currently running.
Time unit of attribution window
min, hour, day Exploration window rate
0.001 <= x <= 1Long term exploration allocation
0.001 <= x <= 1Metadata field containing the numeric value to optimize for. If this field is null, autotune optimizes for the existence of a follow-up event. This is only used for contextual autotunes.
Whether to optimize for an increase or decrease in the metadata field value. Default is true. This is only used for contextual autotunes.
Whether this is a contextual autotune
Metric source to pull success event data from
Linked experiment to measure the success of the Autotune
Autotune goal
Optimize for event occurrence vs value
occurrence, value Metric source column to optimize for
List of features that should be included in the analysis
Optional name for the configuration.
Optional tags for categorization.
List of target applications associated with this configuration.
Holdouts applied to this configuration.
Optional name for the responsible team.
Optional ID of the responsible team.
Version number
Was this page helpful?