IntegrationsConfluence CloudNanonets
Confluence Cloud + Nanonets

Connect Confluence Cloud and Nanonets to Build Intelligent Automations

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Frequently Asked Questions

How do I start an integration between Confluence Cloud and Nanonets?

To start, connect both your Confluence Cloud and Nanonets accounts to viaSocket. Once connected, you can set up a workflow where an event in Confluence Cloud triggers actions in Nanonets (or vice versa).

Can we customize how data from Confluence Cloud is recorded in Nanonets?

Absolutely. You can customize how Confluence Cloud 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.

How often does the data sync between Confluence Cloud and Nanonets?

The data sync between Confluence Cloud and Nanonets typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from Confluence Cloud to Nanonets?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between Confluence Cloud and Nanonets?

Yes, you can set conditional logic to control the flow of data between Confluence Cloud 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.

Confluence Cloud

About Confluence Cloud

Confluence is a collaboration tool developed by Atlassian that allows teams to manage projects, share documents, and enhance communication within teams. Confluence integrates seamlessly with Jira and supports a range of powerful plugins to extend its functionality.

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Nanonets

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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