Connect Didit and Causal to Build Intelligent Automations

Choose a Trigger

Didit

When this happens...

Choose an Action

Causal

Automatically do this!

Enable Integrations or automations with these events of Didit and Causal

Enable Integrations or automations with these events of Didit and Causal

Actions

Start verification session

Start verification session

Start a verification session to verify a person or document and get notified when it finishes.

verification decision becomes available

verification decision becomes available

runs when verification decision becomes available

Request a new Action for Didit

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Frequently Asked Questions

How do I start an integration between Didit and Causal?

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

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

Absolutely. You can customize how Didit 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 Didit and Causal?

The data sync between Didit 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 Didit 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 Didit and Causal?

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

Didit

About Didit

Didit is a comprehensive platform designed to enhance productivity and streamline task management. It offers tools for organizing tasks, setting priorities, and tracking progress, making it ideal for individuals and teams looking to boost efficiency.

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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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