@Marvin Can you get the state of a deployment from this endpoint to see if the deployment is running or not? https://api.prefect.cloud/api/accounts/{account_id}/workspaces/{workspace_id}/deployments/filter

To assist you with querying the state of a deployment from the given Prefect API endpoint, I need to confirm your Prefect version first, as API details might vary between versions. Please let me know your Prefect version, or if you are unsure, I can guide you on how to find it.

Using Prefect Cloud v 3. API version 0.8.4.

To determine if a deployment is running using the Prefect Cloud API, you can utilize the available endpoints to query the deployment's state. The relevant states you might encounter include "Scheduled," "Pending," "Running," and others that are part of Prefect's state types. Here are the states that are particularly relevant for understanding whether a deployment is running or not: - Scheduled: Not yet started but planned for future execution. - Pending: Ready to run but is waiting for necessary conditions. - Running: Currently executing. For more details, you might want to review the Prefect documentation on state management which provides a comprehensive explanation of these states. Regarding the specific API endpoint you provided, accessing the deployment state would typically involve sending a POST request to the API with relevant filtering parameters. Unfortunately, without more specific documentation on that exact endpoint, I recommend checking if there's a related method or query filter that lets you specify the deployment ID and retrieve status details directly from the Prefect Cloud interface or the Prefect UI. Additionally, here are some related GitHub issues that discuss deployment states and issues when fetching states, which might be relevant if you're encountering specific problems: 1. Issue during deployment run failure 2. Flows using DaskTaskRunner don't resolve Prefect Futures For more precise troubleshooting, accessing the Prefect Slack or community forums might also provide additional insights if the API documentation isn't fully covering your use case.