Connect QuickHunt and Token Metrics to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for QuickHunt
Choose an Action
Automatically do this!
- Request a new Action for Token Metrics
Enable Integrations or automations with these events of QuickHunt and Token Metrics
Enable Integrations or automations with these events of QuickHunt and Token Metrics
Actions
Get All Feedback
Retrieve paginated feedback items for the selected project.
Create New FeedBack
Create a feedback (idea).
Update Feedback
Update an existing feedback item.
Delete Feedback
Delete a feedback.
Get Feedback Up Voters
Retrieve the list of users who upvoted a specific feedback item.
Add New Comment
Add comment to a feedback.
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- Send for Approval acceptCreate Entry of expensesAdd Step
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Frequently Asked Questions
To start, connect both your QuickHunt and Token Metrics accounts to viaSocket. Once connected, you can set up a workflow where an event in QuickHunt triggers actions in Token Metrics (or vice versa).
Absolutely. You can customize how QuickHunt data is recorded in Token Metrics. This includes choosing which data fields go into which fields of Token Metrics, setting up custom formats, and filtering out unwanted information.
The data sync between QuickHunt and Token Metrics 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 QuickHunt and Token Metrics. 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 QuickHunt
QuickHunt is a dynamic platform designed to streamline job searching and recruitment processes, offering innovative tools for both job seekers and employers.
Learn MoreAbout Token Metrics
Use Token Metrics API to get the best crypto data, trading signals, and AI-powered ratings.
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