Connect vPlan and Nanonets 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 Nanonets
Enable Integrations or automations with these events of vPlan and Nanonets
Enable Integrations or automations with these events of vPlan and Nanonets
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 Nanonets accounts to viaSocket. Once connected, you can set up a workflow where an event in vPlan triggers actions in Nanonets (or vice versa).
Absolutely. You can customize how vPlan data is recorded in Nanonets. This includes choosing which data fields go into which fields of Nanonets, setting up custom formats, and filtering out unwanted information.
The data sync between vPlan and Nanonets 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 Nanonets. 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 Nanonets
Nanonets is a cutting-edge AI platform that specializes in automating data extraction and processing using machine learning models. It allows businesses to streamline their workflows by converting unstructured data into structured formats, enhancing efficiency and accuracy in data handling.
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