Connect Looker Studio and Linguin AI to Build Intelligent Automations
Enable Integrations or automations with these events of Looker Studio and Linguin AI
Enable Integrations or automations with these events of Looker Studio and Linguin AI
Actions
Search Asset
Search a user's Looker Studio assets.
List Asset Permissions
Retrieves a list of permissions for a given Looker Studio asset.
Add members to Looker Studio asset
Give one or more people, groups, or domains a Viewer, Editor, Owner, or link role on a Looker Studio asset.
Detect Language
Detect the language(s) of the provided text and return each language with a confidence score.
Bulk Detect Language
Detect the language and confidence score for each text in a batch.
Profanity Detection
Analyze input text and return a profanity score indicating the likelihood of offensive language.
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Frequently Asked Questions
To start, connect both your Looker Studio and Linguin AI accounts to viaSocket. Once connected, you can set up a workflow where an event in Looker Studio triggers actions in Linguin AI (or vice versa).
Absolutely. You can customize how Looker Studio data is recorded in Linguin AI. This includes choosing which data fields go into which fields of Linguin AI, setting up custom formats, and filtering out unwanted information.
The data sync between Looker Studio and Linguin AI 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 Looker Studio and Linguin AI. 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 Looker Studio
Looker is a powerful business intelligence and data analytics platform that helps organizations explore, analyze, and share real-time business insights. It provides a user-friendly interface for creating data-driven reports and dashboards, enabling data teams to collaborate effectively and make informed decisions.
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