Connect Meeting BaaS and Scale to Build Intelligent Automations
Enable Integrations or automations with these events of Meeting BaaS and Scale
Enable Integrations or automations with these events of Meeting BaaS and Scale
Actions
Sending a bot
Send AI bots to meetings
Removing a Bot
Remove a bot from an ongoing meeting using the API
Get Meetings
Get meeting recording and metadata.
Get Tasks
Retrieve all the tasks for given project.
Create Batch
Create a new batch in a project to group related tasks for processing.
Pause Batch
Pause processing of an in-progress Batch. Only unstarted tasks will be paused.
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Frequently Asked Questions
To start, connect both your Meeting BaaS and Scale accounts to viaSocket. Once connected, you can set up a workflow where an event in Meeting BaaS triggers actions in Scale (or vice versa).
Absolutely. You can customize how Meeting BaaS data is recorded in Scale. This includes choosing which data fields go into which fields of Scale, setting up custom formats, and filtering out unwanted information.
The data sync between Meeting BaaS and Scale 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 Meeting BaaS and Scale. 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 Meeting BaaS
Meeting BaaS is a comprehensive platform designed to streamline and enhance the process of organizing, scheduling, and conducting meetings. It offers a suite of tools to facilitate seamless communication, collaboration, and documentation, making it an ideal solution for businesses and teams looking to improve their meeting efficiency and productivity.
Learn MoreAbout Scale
Scale provides advanced AI-driven solutions for data labeling and annotation, helping businesses streamline their machine learning workflows.
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