Connect vPlan and Labelf to Build Intelligent Automations
Choose a Trigger
When this happens...
New or Changed Collection
New or Updated Card
Attached or Detached Label on a Card
Attached or Detached Resource on a Card
New or Changed Comment
Card Deleted
Collection Deleted
Choose an Action
Automatically do this!
- Request a new Action for Labelf
Enable Integrations or automations with these events of vPlan and Labelf
Enable Integrations or automations with these events of vPlan and Labelf
Triggers
New or Changed Collection
Triggers when a new collection is added or changed.
New or Updated Card
Triggers when a card is added or updated.
Attached or Detached Label on a Card
Triggers when a label is attached or detached from a card.
Attached or Detached Resource on a Card
Triggers when a resource is attached or detached from a card.
New or Changed Comment
Triggers when a new comment is added or changed.
Card Deleted
Triggers when a card is deleted.
Actions
Create Activity
Create a new Activity.
Create Resource
Create a new resource.
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Frequently Asked Questions
To start, connect both your vPlan and Labelf accounts to viaSocket. Once connected, you can set up a workflow where an event in vPlan triggers actions in Labelf (or vice versa).
Absolutely. You can customize how vPlan data is recorded in Labelf. This includes choosing which data fields go into which fields of Labelf, setting up custom formats, and filtering out unwanted information.
The data sync between vPlan and Labelf 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 vPlan and Labelf. 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.
About Labelf
Labelf is an advanced AI-driven platform designed to streamline and enhance the process of labeling and annotating data. It leverages cutting-edge machine learning algorithms to provide accurate and efficient data labeling solutions, making it an essential tool for data scientists, machine learning engineers, and AI researchers.
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