
When this happens...
Document is Signed
Form is submitted
Esign is Rejected
Sign Request Sent

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 document is signed by all required parties.
Triggers when a form is submitted
Triggers when a esign is rejected
Triggers when a document sign request is sent.
Action is the task that follows automatically within your MyDocSafe integrations.
Create Folder in a specific parent folder
Create a Portal in a Portal Group
Create a new container registry auth
Create a new template.
Get a single container registry auth

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To start, connect both your MyDocSafe and RunPod accounts to viaSocket. Once connected, you can set up a workflow where an event in MyDocSafe triggers actions in RunPod (or vice versa).
Absolutely. You can customize how MyDocSafe 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 MyDocSafe 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 MyDocSafe 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.
MyDocSafe is a secure document management and e-signature platform designed to streamline workflows, enhance compliance, and improve client engagement. It offers features such as secure document storage, electronic signatures, client portals, and automated workflows.
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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