When this happens...
Cluster created
Cluster token created
Resource Plugins Created
Route Groups Created
Route Group Updated

Automatically do this!
Submit Topic Extraction Job
Delete Topic Extraction
Submit Sentiment Analysis
Delete Submit Sentiment Analysis
Submit Force Alignment Job
Delete Submit Force Alignment Job
When this happensTriggers
A trigger is an event that starts a workflow.
Trigger when new Cluster created.
Trigger when new token created to a selected cluster.
Trigger when new resource plugins created.
Trigger when new routegroups created.
Trigger when new routegroups Updated.
Trigger when new topic extraction is created.
Action is the task that follows automatically within your Signadot integrations.
Search clusters with Cluster Name.
Delete an existing cluster.
Creates a new cluster to the Organisation.
Delete a resource plugin
Delete a routegroup.
Search Routegroups by Name or ID.

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Workflow automation is the process of using technology to execute repetitive tasks with minimal human intervention, creating a seamless flow of activities.
To start, connect both your Signadot and Rev AI accounts to viaSocket. Once connected, you can set up a workflow where an event in Signadot triggers actions in Rev AI (or vice versa).
Absolutely. You can customize how Signadot data is recorded in Rev AI. This includes choosing which data fields go into which fields of Rev AI, setting up custom formats, and filtering out unwanted information.
The data sync between Signadot and Rev AI 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 Signadot and Rev AI. 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.
Signadot is a platform designed to streamline and enhance the process of testing and deploying microservices in a Kubernetes environment. It provides developers with the tools to create isolated environments for testing, ensuring that changes can be validated before being merged into the main codebase. This helps in reducing the risk of errors and improving the overall efficiency of the development process.
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