Connect AITable.ai and kazm to Build Intelligent Automations
Choose a Trigger
When this happens...
New Record Created
New Form
Choose an Action
Automatically do this!
- Request a new Action for kazm
Enable Integrations or automations with these events of AITable.ai and kazm
Enable Integrations or automations with these events of AITable.ai and kazm
Triggers
New Record Created
Triggers when a new record is created in the datasheet.
New Form
Triggers when a form is submitted and received.
Actions
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 AITable.ai and kazm accounts to viaSocket. Once connected, you can set up a workflow where an event in AITable.ai triggers actions in kazm (or vice versa).
Absolutely. You can customize how AITable.ai data is recorded in kazm. This includes choosing which data fields go into which fields of kazm, setting up custom formats, and filtering out unwanted information.
The data sync between AITable.ai and kazm 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 AITable.ai and kazm. 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 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.
Learn MoreAbout kazm
Kazm is the data-driven CRM for Web3. We plug into every community touchpoint to create unified customer profiles, then apply machine learning and other methods to label, segment, and help personalize experiences for users.
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