Connect Alerty and AITable.ai to Build Intelligent Automations
Ready to use Alerty and AITable.ai automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Record Created
Triggers when a new record is created in the datasheet.
New Form
Triggers when a form is submitted and received.
Do thisActions
Action is the task that follows automatically within your Alerty integrations.
Notify All Devices
Sends a notification to all active devices
Create a New Record
Create a new record in datasheet.
Delete a Record
Delete a record from a datasheet by its record ID
Get all Fields
Get all fields of a datasheet
Create a Datasheet
Create a Datasheet in an space
Update a Record
Update details of a Record
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Frequently Asked Questions
To start, connect both your Alerty and AITable.ai accounts to viaSocket. Once connected, you can set up a workflow where an event in Alerty triggers actions in AITable.ai (or vice versa).
Absolutely. You can customize how Alerty data is recorded in AITable.ai. This includes choosing which data fields go into which fields of AITable.ai, setting up custom formats, and filtering out unwanted information.
The data sync between Alerty and AITable.ai 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 Alerty and AITable.ai. 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 Alerty
Alerty is a monitoring and alerting tool designed to notify users of important events or conditions in their applications or infrastructure. It provides real-time alerts based on specified criteria, helping teams respond quickly to potential issues.
Learn MoreAbout AITable.ai
AITable.ai offers automation and AI-powered solutions to enhance table management and data analysis for businesses, aiming to streamline operations and improve decision-making.
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