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Using Custom Query Parameters

The API allows you to include additional query parameters to filter results of specific columns based on the metrics parameter and rows based on the row_filter_column parameter.
ParameterTypeRequiredDescription
metricsArray of metric namesOptionalIf provided, only returns the specified columns instead of every metric.
row_filter_columnStringOptionalControls which rows are returned in the response.
Note: Details on row_filter_column are below.
ValueResultExample Use Case
Not providedReturn all time-series rowsDefault behavior
”frame”Return a single row where frame=0For getting the start of the movement.
Event column nameReturn a single row where that column = 0For getting values at a specific event (ex: peak_event).

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Examples of Usage

Here are some examples to demonstrate how to use custom attributes effectively:
  1. Filter by metrics only
    If you want to retrieve specific metrics such as peak_event and peak_power:     
    curl --request POST \
--url https://api.uplift.ai/v1/data/export \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '{
  "startTime": 123,
  "endTime": 123,
  "athletes": [
    "<string>"
  ],
  "activity": "agility",
  "movement": "cutting",
  "dateMode": "last_modified",
  "metrics": [
    "peak_event",
    "peak_power"
  ]
}'
  2. Filter by metrics and row_filter_column
    You can combine metrics and row_filter_column to refine your search further. For example, if you want to retrieve the row of peak_event and peak_power for the cutting movement at the turn_event equal to 0:     
    curl --request POST \
--url https://api.uplift.ai/v1/data/export \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '{
  "startTime": 123,
  "endTime": 123,
  "athletes": [
    "<string>"
  ],
  "activity": "agility",
  "movement": "cutting",
  "dateMode": "last_modified",
  "metrics": [
    "peak_event",
    "peak_power"
  ],
  "row_filter_column": "turn_event"
}'

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Important Notes

  1. Metrics Availability:
    Verify that all requested metrics exist in the dataset before filtering. If any specified metric is not available, the export data job will fail. Check the errorMessage in the response for details about any non-existent columns when using the metrics parameter.     
    {
   "jobId": "17eafc5c-2e4d-44e9-bdfe-7617591a5f00",
   "status": "FAILED",
   "errorMessage": "Column 'peak_power' not found",
   "createdAt": "2025-05-02T17:40:51.988Z",
   "completedAt": "2025-05-02T17:40:52.592Z"
}
  2. Row Filter Column:
    Ensure the specified row filter column exists in the export data. If the column doesn’t exist, the export data job will fail. The response errorMessage will indicate the column specified in the row_filter_column parameter is invalid.     Note that row filtering only supports values equal to 0. In theory, only a single row is returned for each session. If no rows have a value of 0 for the specified row filter column, the query may return an empty result set.