Skip to content

Click in-app to access the full platform documentation for your version of DataRobot.

Get a prediction server ID

In order to make predictions from a deployment via DataRobot's Prediction API, you need a prediction server ID. In this tutorial, you'll learn how to retrieve the ID using cURL commands from the REST API or by using the DataRobot Python client. Once obtained, you can use the prediction server ID to deploy a model and make predictions.

Note

Before proceeding, note that an API key is required for this tutorial. Reference the Create API keys tutorial for more information.

curl -v \
-H "Authorization: Bearer API_KEY" \ YOUR_DR_URL/api/v2/predictionServers/

Example
API_KEY=YOUR_API_KEY
ENDPOINT=YOUR_DR_URL/api/v2/predictionServers/

curl -v \
-H "Authorization: Bearer $API_KEY" \
$ENDPOINT

Before continuing with Python, be sure you have installed the DataRobot Python client and configured your connection to DataRobot as outlined in the API quickstart guide.

# Set up your environment
import os
import datarobot as dr

API_KEY = os.environ["API_KEY"]
YOUR_DR_URL = os.environ["YOUR_DR_URL"]
FILE_PATH = os.environ["FILE_PATH"]
ENDPOINT = YOUR_DR_URL+"/api/v2"

# Instantiate DataRobot instance
dr.Client(
    token=API_KEY,
    endpoint=ENDPOINT
)

prediction_server_id = dr.PredictionServer.list()[0].id
print(prediction_server_id)

Documentation

The following provides additional documentation for features mentioned in this tutorial.


Updated March 28, 2022
Back to top