http://lookoutmetrics.{region}.amazonaws.com/CreateMetricSetCreates a dataset.
A list of <a href="https://docs.aws.amazon.com/lookoutmetrics/latest/dev/detectors-tags.html">tags</a> to apply to the dataset.
After an interval ends, the amount of seconds that the detector waits before importing data. Offset is only supported for S3, Redshift, Athena and datasources.
The time zone in which your source data was recorded.
A list of metrics that the dataset will contain.
Contains information about source data used to generate metrics.
A list of the fields you want to treat as dimensions.
The name of the dataset.
Contains information about the column used to track time in a source data file.
The ARN of the anomaly detector that will use the dataset.
The frequency with which the source data will be analyzed for anomalies.
A list of filters that specify which data is kept for anomaly detection.
A description of the dataset you are creating.
{
"success": true,
"data": {
"id": "abc123",
"created_at": "2025-01-01T00:00:00Z"
}
}{
"success": false,
"error": {
"code": "VALIDATION_ERROR",
"message": "Invalid request parameters"
}
}1curl --request POST \2 --url 'http://lookoutmetrics.{region}.amazonaws.com/CreateMetricSet' \3 --header 'accept: application/json' \4 --header 'content-type: application/json'1{2 "success": true,3 "data": {4 "id": "abc123",5 "created_at": "2025-01-01T00:00:00Z"6 }7}http://lookoutmetrics.{region}.amazonaws.com/CreateMetricSetCreates a dataset.
A list of <a href="https://docs.aws.amazon.com/lookoutmetrics/latest/dev/detectors-tags.html">tags</a> to apply to the dataset.
After an interval ends, the amount of seconds that the detector waits before importing data. Offset is only supported for S3, Redshift, Athena and datasources.
The time zone in which your source data was recorded.
A list of metrics that the dataset will contain.
Contains information about source data used to generate metrics.
A list of the fields you want to treat as dimensions.
The name of the dataset.
Contains information about the column used to track time in a source data file.
The ARN of the anomaly detector that will use the dataset.
The frequency with which the source data will be analyzed for anomalies.
A list of filters that specify which data is kept for anomaly detection.
A description of the dataset you are creating.
{
"success": true,
"data": {
"id": "abc123",
"created_at": "2025-01-01T00:00:00Z"
}
}{
"success": false,
"error": {
"code": "VALIDATION_ERROR",
"message": "Invalid request parameters"
}
}1curl --request POST \2 --url 'http://lookoutmetrics.{region}.amazonaws.com/CreateMetricSet' \3 --header 'accept: application/json' \4 --header 'content-type: application/json'1{2 "success": true,3 "data": {4 "id": "abc123",5 "created_at": "2025-01-01T00:00:00Z"6 }7}