
When this happens...
Call Status
Call Recording
Call Notes Updated
Call Reason Change
Call Outcome Change

Automatically do this!
Enable Integrations or automations with these events of FreJun and Neo4j
Triggers whenever a call's status changes throughout it's lifecycle.
Triggers when the call recording is ready to be fetched/played.
Triggers when the notes associated with a call change.
Triggers when the call reason associated with a call changes.
Triggers when the call outcome associated with a call changes.
Get Call Records
Initiates a call to the specified candidate
Create a new contact list.
Deletes a contact list.
Assign contacts to a user.
Unassign contacts from a user.

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To start, connect both your FreJun and Neo4j accounts to viaSocket. Once connected, you can set up a workflow where an event in FreJun triggers actions in Neo4j (or vice versa).
Absolutely. You can customize how FreJun data is recorded in Neo4j. This includes choosing which data fields go into which fields of Neo4j, setting up custom formats, and filtering out unwanted information.
The data sync between FreJun and Neo4j 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 FreJun and Neo4j. 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.
FreJun is an excellent platform for calling & maintaining records of calls. The product is user friendly with great analytics on reports which makes calling more productive. My most liked feature is its integration with several other platforms, virtual business number & WhatsApp option.
Learn MoreNeo4j is a leading graph database platform that enables organizations to unlock the value of connections, influences, and relationships in data. It is designed to handle highly connected data and is used for a variety of applications such as fraud detection, real-time recommendations, and network management.
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