Connect Respond.io and Labelf to Build Intelligent Automations
Enable Integrations or automations with these events of Respond.io and Labelf
Enable Integrations or automations with these events of Respond.io and Labelf
Triggers
New Contact
Triggers when new contact created.
Actions
Assign/Unassign Conversation
Updates the assignee of a specific contact. You can unassign the contact by leaving the assignee value empty.
List All Users
Retrieves the list of all users
List All Contacts
List all available contacts. You can use filters in the request body to limit the results to only records with matching contact field values.
Add Comment
Adds a comment to a conversation
Add Space Tag
Adds a space tag
Add Tags
Add tags for a contact
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Frequently Asked Questions
To start, connect both your Respond.io and Labelf accounts to viaSocket. Once connected, you can set up a workflow where an event in Respond.io triggers actions in Labelf (or vice versa).
Absolutely. You can customize how Respond.io data is recorded in Labelf. This includes choosing which data fields go into which fields of Labelf, setting up custom formats, and filtering out unwanted information.
The data sync between Respond.io and Labelf 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 Respond.io and Labelf. 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 Respond.io
respond.io unifies customer communication across instant messaging, web chat, and email for organizations that market, sell, and support.
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About Labelf
Labelf is an advanced AI-driven platform designed to streamline and enhance the process of labeling and annotating data. It leverages cutting-edge machine learning algorithms to provide accurate and efficient data labeling solutions, making it an essential tool for data scientists, machine learning engineers, and AI researchers.
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