/status

Check the status of an ongoing model development.

GET /v3 /ml-worker/status

This endpoint retrieves the current status of an ML worker process, such as model training or model updating. You must provide the process_id, which is returned from endpoints like /predict/** or /model/update*.

The possible status values returned are:

• PENDING – The data upload has been initiated and is in progress.

• SUCCESS – The data was successfully uploaded to the Obviously AI account.

• FAILURE – An error occurred while uploading the data to the Obviously AI account.

If the status is FAILURE, the response will include an error_message field detailing the specific issue.

Header

Key	Value
Authorization	YOUR_API_KEY

Parameters

Key	Type	Description
process_id	String	Target Process ID

Request

import requests

url = "https://api.obviously.ai/v3/model/automl/feature-weights/{process_id}"

headers = {
    "Authorization": "ApiKey <your_api_key>",
    "Content-Type": "application/json"
}

response = requests.get(url, headers=headers)
print(response.json())

Response

200

A response with the names and IDs of exchanges.

{
    "status": "SUCCESS"
}

400

{
    "error" : "Unauthorized"
}

Use the /predict/status endpoint for getting the status of an in-progess prediction model.