Connect Ecologi and KNIME to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Ecologi
Choose an Action
Automatically do this!
- Request a new Action for KNIME
Enable Integrations or automations with these events of Ecologi and KNIME
Enable Integrations or automations with these events of Ecologi and KNIME
Actions
Get all Trees
Get total no of trees user has funded
Get CO2 avoided
Get total number of tonnes of emissions user has avoided
Get all Impact
Get total no of trees funded and total tonnes of CO2 avoided
Purchase Trees
Purchase some trees
Purchase Carbon avoidance
Purchase 1 or more kilogram of carbon avoidance credits per request
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Frequently Asked Questions
To start, connect both your Ecologi and KNIME accounts to viaSocket. Once connected, you can set up a workflow where an event in Ecologi triggers actions in KNIME (or vice versa).
Absolutely. You can customize how Ecologi 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 Ecologi 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 Ecologi 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 Ecologi
Ecology provides a platform for tracking environmental changes and promoting sustainable practices. It offers tools for data collection, analysis, and sharing to enhance ecological research and public awareness.
Learn MoreAbout 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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