Connect Form.taxi and Causal to Build Intelligent Automations

Choose a Trigger

Form.taxi

When this happens...

Choose an Action

Causal

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Enable Integrations or automations with these events of Form.taxi and Causal

Enable Integrations or automations with these events of Form.taxi and Causal

Triggers

New Submission

New Submission

Triggers when a new form submission is done.

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Frequently Asked Questions

How do I start an integration between Form.taxi and Causal?

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

Can we customize how data from Form.taxi is recorded in Causal?

Absolutely. You can customize how Form.taxi 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 Form.taxi and Causal?

The data sync between Form.taxi 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 Form.taxi 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 Form.taxi and Causal?

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

Form.taxi

About Form.taxi

Form.taxi is a platform designed to streamline the process of creating and managing forms specifically for the transportation industry. It allows users to easily build custom forms for bookings, feedback, and other transportation-related needs.

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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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