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When this happensTriggers
A trigger is an event that starts a workflow.
runs when new invoice is created
runs when New Expense Created
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.
Action is the task that follows automatically within your Finmei integrations.
Create a new invoice with buyer, seller, products, and payment details.
Search clusters with Cluster Name.
Delete an existing cluster.
Creates a new cluster to the Organisation.
Delete a resource plugin
Delete a routegroup.

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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 Finmei and Signadot accounts to viaSocket. Once connected, you can set up a workflow where an event in Finmei triggers actions in Signadot (or vice versa).
Absolutely. You can customize how Finmei 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 Finmei 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 Finmei 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.
Finmei is a comprehensive platform designed to streamline financial management and enhance decision-making for businesses and individuals. With a focus on providing insightful analytics and efficient tools, Finmei empowers users to manage their finances with ease and precision.
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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