Connect Pingbell and Baseten to Build Intelligent Automations
Ready to use Pingbell and Baseten automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Secret Created
Triggers when a new Secret is created in Baseten
Do thisActions
Action is the task that follows automatically within your Pingbell integrations.
Find all Notify PingBells
Find all Notify PingBells Details
Notify PingBell
Notify PingBell whenever an event / conversion happens.
Create Training Project
Create a new Baseten training project with a unique name.
List Training Projects
Retrieve all Baseten training projects, returning each project's id, name, creation/update timestamps, and team.
Create Secret
Create a new secret with a name and value.
List all Secrets
Retrieve all secrets stored in your Baseten account.
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Frequently Asked Questions
To start, connect both your Pingbell and Baseten accounts to viaSocket. Once connected, you can set up a workflow where an event in Pingbell triggers actions in Baseten (or vice versa).
Absolutely. You can customize how Pingbell data is recorded in Baseten. This includes choosing which data fields go into which fields of Baseten, setting up custom formats, and filtering out unwanted information.
The data sync between Pingbell and Baseten 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 Pingbell and Baseten. 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 Pingbell
PingBell notifies your entire team whenever a conversion happens on your website or app.
Learn MoreAbout Baseten
Baseten is a platform that empowers developers to build, deploy, and manage machine learning models with ease. It provides tools for integrating AI capabilities into applications, streamlining the process from model creation to deployment.
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