Connect Billetweb and DataRobot to Build Intelligent Automations
Enable Integrations or automations with these events of Billetweb and DataRobot
Enable Integrations or automations with these events of Billetweb and DataRobot
Triggers
Recent Attendee Check-ins
Returns attendees for the selected event who were checked in within the recent time window.
Attendee Created or Updated
Triggers when an attendee is created or updated for a selected event (or all events). Returns attendee and order details and supports filtering by tag and by creation/update.
New Event Created
Detects newly created events on Billetweb and returns details for events added since the last check.
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Frequently Asked Questions
To start, connect both your Billetweb and DataRobot accounts to viaSocket. Once connected, you can set up a workflow where an event in Billetweb triggers actions in DataRobot (or vice versa).
Absolutely. You can customize how Billetweb data is recorded in DataRobot. This includes choosing which data fields go into which fields of DataRobot, setting up custom formats, and filtering out unwanted information.
The data sync between Billetweb and DataRobot 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 Billetweb and DataRobot. 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 Billetweb
Billetweb is a comprehensive platform for event management and ticketing, offering tools to organize, promote, and manage events efficiently.
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About DataRobot
DataRobot is a leading AI platform that enables organizations to harness the power of machine learning and artificial intelligence to drive business insights and decision-making. It offers automated machine learning capabilities, allowing users to build, deploy, and manage AI models efficiently.
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