Connect TMETRIC and Labelf to Build Intelligent Automations
Enable Integrations or automations with these events of TMETRIC and Labelf
Enable Integrations or automations with these events of TMETRIC and Labelf
Actions
Get recent tasks
List recently created or updated tasks
latest time entry
Fetch the most recently tracked time entry
Get projects for time entry
Get projects available for time tracking
Tags for time entry
Get tags available within a specified project
Get statuses live
Retrieve current time‑tracking statuses of all users
List time‑off requests
Fetch all time‑off requests in a workspace
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Frequently Asked Questions
To start, connect both your TMETRIC and Labelf accounts to viaSocket. Once connected, you can set up a workflow where an event in TMETRIC triggers actions in Labelf (or vice versa).
Absolutely. You can customize how TMETRIC data is recorded in Labelf. This includes choosing which data fields go into which fields of Labelf, setting up custom formats, and filtering out unwanted information.
The data sync between TMETRIC and Labelf typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between TMETRIC and Labelf. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About TMETRIC
TMetric is a comprehensive time tracking software designed to help businesses and freelancers manage their time efficiently. It offers features such as time tracking, project management, team management, and reporting, making it an ideal tool for improving productivity and ensuring accurate billing.
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About Labelf
Labelf is an advanced AI-driven platform designed to streamline and enhance the process of labeling and annotating data. It leverages cutting-edge machine learning algorithms to provide accurate and efficient data labeling solutions, making it an essential tool for data scientists, machine learning engineers, and AI researchers.
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