
When this happens...
Automatically do this!
Search clusters
Delete Cluster
Create Cluster
Delete a resource plugin
Delete Routegroup
Search Routegroups
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.
Action is the task that follows automatically within your DocsBot integrations.
Ask a new question to your DocsBot and get an answer.
Creates a new source to train a bot.
Search clusters with Cluster Name.
Delete an existing cluster.
Creates a new cluster to the Organisation.
Delete a resource plugin

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To start, connect both your DocsBot and Signadot accounts to viaSocket. Once connected, you can set up a workflow where an event in DocsBot triggers actions in Signadot (or vice versa).
Absolutely. You can customize how DocsBot data is recorded in Signadot. This includes choosing which data fields go into which fields of Signadot, setting up custom formats, and filtering out unwanted information.
The data sync between DocsBot and Signadot 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 DocsBot and Signadot. 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.
DocsBot AI is an advanced AI-powered tool designed to assist users in managing, generating, and analyzing documents efficiently. It leverages artificial intelligence to automate document-related tasks, making it easier for businesses and individuals to handle large volumes of documents with accuracy and speed.
Learn MoreSignadot 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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