Connect ClosedLoop AI and PostgreSQL to Build Intelligent Automations
Choose a Trigger
When this happens...
New Product Insight Generated
Choose an Action
Automatically do this!
Execute a Query (advanced)
Insert row
Ready to use ClosedLoop AI and PostgreSQL automations
Trigger an AI plugin action from a webhook and return the result
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Automate Instagram Comment Replies + Smart DMs for Keywords
Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Product Insight Generated
Runs when new product insight is generated
Postgresql (mutiple table)
Get all the data, which was updated in last 15 min, from all the table provided.
Do thisActions
Action is the task that follows automatically within your ClosedLoop AI integrations.
Send Feedback
Send customer feedback to extract product insights.
Execute a Query (advanced)
You can select, create, update or delete row(s) of table via custom SQL query.
Insert row
Adds a new row into the table.
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Frequently Asked Questions
To start, connect both your ClosedLoop AI and PostgreSQL accounts to viaSocket. Once connected, you can set up a workflow where an event in ClosedLoop AI triggers actions in PostgreSQL (or vice versa).
Absolutely. You can customize how ClosedLoop AI data is recorded in PostgreSQL. This includes choosing which data fields go into which fields of PostgreSQL, setting up custom formats, and filtering out unwanted information.
The data sync between ClosedLoop AI and PostgreSQL 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 ClosedLoop AI and PostgreSQL. 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 ClosedLoop AI
ClosedLoop AI offers advanced AI solutions tailored for healthcare analytics, enabling organizations to leverage data-driven insights for improved patient outcomes and operational efficiency.
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