Connect Webex and MonkeyLearn Legacy to Build Intelligent Automations
Enable Integrations or automations with these events of Webex and MonkeyLearn Legacy
Enable Integrations or automations with these events of Webex and MonkeyLearn Legacy
Actions
Create Contact List
Creates a new contact list in Webex Interact.
List Senders
Show the list of senders available in Webex Interact.
Delete List
Deletes a contact list from Webex Interact.
Create Short Link
Creates a short link that sends people to a webpage and optionally tracks clicks and adds tags.
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Frequently Asked Questions
To start, connect both your Webex and MonkeyLearn Legacy accounts to viaSocket. Once connected, you can set up a workflow where an event in Webex triggers actions in MonkeyLearn Legacy (or vice versa).
Absolutely. You can customize how Webex data is recorded in MonkeyLearn Legacy. This includes choosing which data fields go into which fields of MonkeyLearn Legacy, setting up custom formats, and filtering out unwanted information.
The data sync between Webex and MonkeyLearn Legacy 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 Webex and MonkeyLearn Legacy. 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 Webex
Multi-channel messaging platform for businesses that supports SMS and WhatsApp campaigns, templates, two-way messaging and real-time reporting. Provides developer-friendly REST APIs, shortlinks, scheduling and campaign automation for transactional and marketing communication.
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About MonkeyLearn Legacy
MonkeyLearn is a Text Analysis platform that allows you to classify and extract actionable data from raw texts like emails, chats, webpages, documents, tweets and more! You can classify texts with custom tags like sentiment or topic, and extract any particular data like organizations or keywords.
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