
When this happens...
New Project
New Incomplete Task
New Complete Task

Automatically do this!
Enable Integrations or automations with these events of Todoist and Causal
Trigger when a new project is created.
Lists incomplete tasks created in the selected project within the last 15 minutes.
Triggers when Task is completed.
Find an Exiting task or Create a new Task.
Find an exiting project or create a new project
Update an exiting task.
Marks a task as being completed.
Creates a new Task.
Create a Todoist project and optionally set its color, parent project, favorite status, and view style (list or board).
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Gain insights into how viaSocket functions through our detailed guide. Understand its key features and benefits to maximize your experience and efficiency.
To start, connect both your Todoist and Causal accounts to viaSocket. Once connected, you can set up a workflow where an event in Todoist triggers actions in Causal (or vice versa).
Absolutely. You can customize how Todoist data is recorded in Causal. This includes choosing which data fields go into which fields of Causal, setting up custom formats, and filtering out unwanted information.
The data sync between Todoist and Causal 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 Todoist and Causal. 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.
Todoist is a popular task management application that helps individuals and teams organize tasks and projects. Overall, Todoist is designed to help users increase productivity, stay organized, and effectively manage their tasks and projects, whether they're working individually or as part of a team.
Learn MoreCausal is a modern tool designed to simplify financial modeling, forecasting, and data analysis. It allows users to create dynamic models with ease, offering a more intuitive and collaborative approach to handling complex data. With Causal, users can connect their data sources, visualize outcomes, and share insights seamlessly, making it an ideal solution for businesses and individuals looking to enhance their decision-making processes.
Learn More