
When this happens...
Proof Created
Reviewer Comment
Reviewer Decision

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
When this happensTriggers
A trigger is an event that starts a workflow.
Triggers when a proof is created.
Triggers when a reviewer makes a comment on a proof.
Triggers when a reviewer makes a decision on a proof.
Action is the task that follows automatically within your Ziflow integrations.
Creates a new folder in Ziflow to organize proofs and files.
Get a list of top level folders the user can access.
Get a list of users registered in your account.
Get a list of all contacts.
Create a new container registry auth
Create a new template.

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To start, connect both your Ziflow and RunPod accounts to viaSocket. Once connected, you can set up a workflow where an event in Ziflow triggers actions in RunPod (or vice versa).
Absolutely. You can customize how Ziflow 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 Ziflow 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 Ziflow 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.
Ziflow is an online proofing tool designed for marketing teams and agencies to review and approve creative content. It supports various file types and provides features for collaboration and feedback.
Learn MoreRunPod 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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