Connect QuickHunt and metatext 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 metatext
Enable Integrations or automations with these events of QuickHunt and metatext
Enable Integrations or automations with these events of QuickHunt and metatext
Actions
Get All Feedback
Retrieve paginated feedback items for the selected project.
Create Feedback
Creates a new feedback idea in QuickHunt.
Update Feedback
Update an existing feedback item with new details.
Delete Feedback
Deletes a single feedback item from a project that matches your search.
Get Feedback Upvoters
Get the list of people who upvoted a specific feedback item.
Add Comment
Adds a new comment to an idea or feedback.
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Frequently Asked Questions
To start, connect both your QuickHunt and metatext accounts to viaSocket. Once connected, you can set up a workflow where an event in QuickHunt triggers actions in metatext (or vice versa).
Absolutely. You can customize how QuickHunt data is recorded in metatext. This includes choosing which data fields go into which fields of metatext, setting up custom formats, and filtering out unwanted information.
The data sync between QuickHunt and metatext 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 metatext. 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 metatext
Metatext is a easy to use AI tool to create and manage robust language models for classification, extraction and generation tasks.
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