Hey there! Let's break down your two Clockify API questions and get you sorted out.

If you're having trouble hitting this endpoint, here are the most common fixes to check:

• Double-check the endpoint path: The correct endpoint is GET /workspaces/{workspaceId}/user/{userId}/time-entries/in-progress. A quick win: if you're checking the current authenticated user's in-progress entry, you can replace {userId} with me (e.g., /workspaces/your-workspace-id/user/me/time-entries/in-progress) to avoid hardcoding a user ID.
• Verify authentication: Make sure your request includes the X-Api-Key header with a valid API key. Remember, each user has their own key, and you'll need the target user's key (or an admin key with permissions to view their time entries) to fetch their in-progress entry.
• Check request method: This is a GET endpoint—don't send a POST or PUT request here, that'll throw an error right away.
• Confirm permissions: If you're using an admin key to access a regular user's entry, ensure the admin role has permission to view all user time entries in the workspace settings.

Here's a working curl example to test with:

curl -X GET "https://api.clockify.me/api/v1/workspaces/your-workspace-id/user/me/time-entries/in-progress" \
-H "X-Api-Key: your-valid-api-key" \
-H "Content-Type: application/json"

Clockify doesn't have a single endpoint that directly returns all users with ongoing time entries, but you can build this list with two simple steps:

1. Fetch all workspace users: First, grab the full list of users in your workspace using this endpoint:

   curl -X GET "https://api.clockify.me/api/v1/workspaces/your-workspace-id/users" \
   -H "X-Api-Key: your-api-key"
   

   This will return an array of user objects, each with an id field you'll need for the next step.

2. Check each user for active entries: Loop through each user's id and call the "Find personal time entry in progress" endpoint for them. If the response returns a time entry object (not an empty response or 404), that user is currently tracking time.

A quick note on rate limits: Clockify allows up to 100 requests per minute. If you have a large team, add small delays between requests to avoid hitting the limit. Alternatively, set up webhooks to listen for time-entry-started and time-entry-stopped events—this lets you maintain a real-time list of active users without polling the API repeatedly.

内容的提问来源于stack exchange，提问作者Maulik kanani