Connect Geekbot and Baseten to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Geekbot
Choose an Action
Automatically do this!
Create Training Project
List Training Projects
Create Secret
List all Secrets
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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 Geekbot integrations.
List Standup
Get list of Standup.
Start Standup
Initiate a standup. Standup will start only for the users included.
List Team
List teams.
List Report
Get list of Report .
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.
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Frequently Asked Questions
To start, connect both your Geekbot and Baseten accounts to viaSocket. Once connected, you can set up a workflow where an event in Geekbot triggers actions in Baseten (or vice versa).
Absolutely. You can customize how Geekbot 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 Geekbot 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 Geekbot 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 Geekbot
Geekbot runs asynchronous standups, retrospectives, and surveys — enabling easy, effective, and transparent collaboration across time zones
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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