Connect CallHippo and KNIME to Build Intelligent Automations
Enable Integrations or automations with these events of CallHippo and KNIME
Enable Integrations or automations with these events of CallHippo and KNIME
Triggers
Call Log Activity
Triggers when there's a new call.
New SMS Activity
Triggers when CallHippo sends or receives an SMS and delivers the SMS details to your configured webhook.
Actions
Get All Users
Get all users in the account
Create a Contact
Create a new contact.
List All Campaign
List all the campaign in the account.
Send SMS
Send SMS through CallHippo
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Frequently Asked Questions
To start, connect both your CallHippo and KNIME accounts to viaSocket. Once connected, you can set up a workflow where an event in CallHippo triggers actions in KNIME (or vice versa).
Absolutely. You can customize how CallHippo data is recorded in KNIME. This includes choosing which data fields go into which fields of KNIME, setting up custom formats, and filtering out unwanted information.
The data sync between CallHippo and KNIME 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 CallHippo and KNIME. 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 CallHippo
CallHippo is a cloud-based call center solution that helps mid to large size businesses with workflow automation and virtual telephony. The platform enables users to give detailed analysis to customers through call recordings.
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About KNIME
KNIME is a powerful open-source platform designed for data analytics, reporting, and integration. It enables users to create data workflows and perform complex data analysis with ease, using a visual programming interface. KNIME is widely used for data mining, machine learning, and predictive analytics, making it a valuable tool for data scientists and analysts.
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