Connect Patreon and Sumo Logic to Build Intelligent Automations
Enable Integrations or automations with these events of Patreon and Sumo Logic
Enable Integrations or automations with these events of Patreon and Sumo Logic
Actions
Fetch Current User Info
Retrieves the authenticated Patreon user's profile information
Fetch Creator Profile and Campaign Information
Retrieves the authenticated Patreon user’s campaign details, including rewards, goals, and pledges
List All Campaign
List all the campaign
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Frequently Asked Questions
To start, connect both your Patreon and Sumo Logic accounts to viaSocket. Once connected, you can set up a workflow where an event in Patreon triggers actions in Sumo Logic (or vice versa).
Absolutely. You can customize how Patreon data is recorded in Sumo Logic. This includes choosing which data fields go into which fields of Sumo Logic, setting up custom formats, and filtering out unwanted information.
The data sync between Patreon and Sumo Logic 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 Patreon and Sumo Logic. 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 Patreon
Patreon is a membership platform that provides tools for creators to run a subscription content service, offering ways for artists, writers, and other creators to earn a monthly income by providing rewards and perks to their subscribers.
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About Sumo Logic
Sumo Logic is a cloud-based machine data analytics platform that provides real-time insights and continuous intelligence across the entire application lifecycle and stack. It helps organizations monitor, troubleshoot, and secure their applications and infrastructure by collecting, analyzing, and visualizing log and metric data.
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