
When this happens...
New Contact Created
New Contact Request
Property Created or Updated

Automatically do this!
Create QA Source
Create URL Source
Create Source Tag
When this happensTriggers
A trigger is an event that starts a workflow.
Runs when new contact is created
Triggers when a new contact request is created in EasyBroker.
Runs when property changes
Action is the task that follows automatically within your Easybroker integrations.
Get all EasyBroker contacts
Creates a Contact Request in your EasyBroker account for a lead.
Returns a list of the contact requests in a given period or for a specific property, if no parameters are provided all the contact requests will be returned
Get a contact's details by contact ID.
Get the details of a specific property .
Show all collaborations for the connected EasyBroker account

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To start, connect both your Easybroker and GPT-trainer accounts to viaSocket. Once connected, you can set up a workflow where an event in Easybroker triggers actions in GPT-trainer (or vice versa).
Absolutely. You can customize how Easybroker data is recorded in GPT-trainer. This includes choosing which data fields go into which fields of GPT-trainer, setting up custom formats, and filtering out unwanted information.
The data sync between Easybroker and GPT-trainer 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 Easybroker and GPT-trainer. 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.
The EasyBroker integration allows you to access your company's properties, register or check potential clients, among other operations.
Learn MoreGPT Trainer is a platform designed to enhance and customize the training of AI models, particularly those based on the GPT architecture. It provides tools and resources for developers and researchers to fine-tune and optimize AI models for specific tasks and applications.
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