Querying multiple Azure TSI time series instances over same search span in single query

Question

We have an Azure time series insights environment that contains multiple time series that are accessible via their timeSeriesName.

Using the information from the documentation. I was able to query the time series I created, but only one at a time.

By looping over the different time series names, I was able to aggregate the events as well, but unfortunately, this method is not efficient enough for our intended purpose.

I am therefore trying to query multiple time series instances from the same Azure Time Series Insights environment in a single query (i.e. multiple time series names). No such method is provided in the documentation.

The data is intended to be ingested as a batch by an application, that will run various machine learning operations on it. Both of the following queries work as intended, but only for one time series at a time.

body1 = {
    "getEvents": {
        "timeSeriesName" : "name123",
        "searchSpan": {
            "from":  "2017-03-08T00:00:00Z",
            "to":  "2017-03-08T00:05:00Z"
        }
    }
}

body2 = {
    "getSeries" :{
        "timeSeriesName" : "name123",
        "searchSpan": {
            "from":  "2017-03-08T00:00:00Z",
            "to":  "2017-03-08T00:05:00Z"
        }
    }
}

I expect the output to be something of the form:

{'timestamps': ['2017-03-08T00:00:00Z', '2017-03-08T00:01:00Z', '2017-03-08T00:02:00Z', '2017-03-08T00:03:00Z', '2017-03-08T00:04:00Z'], 'properties': ["name123": {'values': [5.1, 6.3, 7.6, 4.5, 3.3], 'name': 'Temperature', 'type': 'Double'}, "name987": {'values': [13.5, 15.7, 12.1, 9.7, 8.5], 'name': 'Temperature', 'type': 'Double'}]