Connect keygen and RunPod to Build Intelligent Automations
Choose a Trigger
When this happens...
User Created HOLD
Choose an Action
Automatically do this!
Create a Container Registry
Create a Template
Find a Container Registry Auth
Delete a Container Registry Auth
Delete a Template
Create Registry Authentication
Ready to use keygen and RunPod automations
Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
User Created HOLD
Triggers when a new user is created.
Do thisActions
Action is the task that follows automatically within your keygen integrations.
Create User
Craetes a user
Find Licence
Finds an existing license by its license key.
Update Machine
Updates a machine.
Update User
updates a user.
Create Token
Create a new API token for a license
Update Licence
Update a Licence
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Frequently Asked Questions
To start, connect both your keygen and RunPod accounts to viaSocket. Once connected, you can set up a workflow where an event in keygen triggers actions in RunPod (or vice versa).
Absolutely. You can customize how keygen data is recorded in RunPod. This includes choosing which data fields go into which fields of RunPod, setting up custom formats, and filtering out unwanted information.
The data sync between keygen and RunPod 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 keygen and RunPod. 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 keygen
Keygen is a key generation service that makes it easy for businesses to license and distribute their software.
Learn MoreAbout RunPod
RunPod is a platform that provides cloud-based computing resources for running and managing machine learning models, data processing tasks, and other computational workloads. It offers scalable and efficient solutions for developers and data scientists to deploy and execute their projects seamlessly.
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