Connect Mokaform and Causal to Build Intelligent Automations

Choose a Trigger

Mokaform

When this happens...

Choose an Action

Causal

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Enable Integrations or automations with these events of Mokaform and Causal

Enable Integrations or automations with these events of Mokaform and Causal

Triggers

New Form Submission

New Form Submission

Runs when new form submission is submitted

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Frequently Asked Questions

How do I start an integration between Mokaform and Causal?

To start, connect both your Mokaform and Causal accounts to viaSocket. Once connected, you can set up a workflow where an event in Mokaform triggers actions in Causal (or vice versa).

Can we customize how data from Mokaform is recorded in Causal?

Absolutely. You can customize how Mokaform 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.

How often does the data sync between Mokaform and Causal?

The data sync between Mokaform and Causal typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from Mokaform to Causal?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between Mokaform and Causal?

Yes, you can set conditional logic to control the flow of data between Mokaform 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.

Mokaform

About Mokaform

Mokaform is a versatile platform designed for creating and managing online forms and surveys, enabling users to collect data efficiently and effectively.

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Causal

About Causal

Causal 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.

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