When this happens...
New Event

Automatically do this!
Enable Integrations or automations with these events of Callyzer and Labelf
Trigger's when new event occurs.
Retrieves details of registered employees, including numbers and tags.
Returns the total calls, total connected calls, and total call duration, broken down hour-wise for each day.
Retrieves call counts with Never Attended, Never Received, Unique Clients, and Working Hour.
Retrieves call counts, unique clients, and working hours for a given date range.

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Workflow automation is the process of using technology to execute repetitive tasks with minimal human intervention, creating a seamless flow of activities.
To start, connect both your Callyzer and Labelf accounts to viaSocket. Once connected, you can set up a workflow where an event in Callyzer triggers actions in Labelf (or vice versa).
Absolutely. You can customize how Callyzer 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 Callyzer 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 Callyzer 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.
Callyzer is a comprehensive call tracking and analytics platform designed to help businesses monitor and analyze their call data effectively. It provides insights into call patterns, durations, and sources, enabling businesses to optimize their communication strategies and improve customer interactions.
Learn MoreLabelf 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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