Connect Walls.io and Geckoboard to Build Intelligent Automations
Choose a Trigger
When this happens...
New Post
Choose an Action
Automatically do this!
Add Record to Dataset
Ready to use Walls.io and Geckoboard automations
Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Post
Triggers when a new post is fetched.
Do thisActions
Action is the task that follows automatically within your Walls.io integrations.
List Posts
List All posts in your Wall
Create Post
Create a new post on your wall.
Search Post
Find Your Post By ID
Update Post
Update a post on your wall.
Add Record to Dataset
Add a record to an existing dataset
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Frequently Asked Questions
To start, connect both your Walls.io and Geckoboard accounts to viaSocket. Once connected, you can set up a workflow where an event in Walls.io triggers actions in Geckoboard (or vice versa).
Absolutely. You can customize how Walls.io data is recorded in Geckoboard. This includes choosing which data fields go into which fields of Geckoboard, setting up custom formats, and filtering out unwanted information.
The data sync between Walls.io and Geckoboard 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 Walls.io and Geckoboard. 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 Walls.io
Walls.io allows you to connect your social wall with hundreds of other applications easily and with out any code.
Learn MoreAbout Geckoboard
Geckoboard is a data visualization tool that helps teams focus on key metrics by providing real-time dashboards to monitor business performance. It allows users to connect to a variety of data sources and create custom dashboards to display their most important data visually.
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