Connect YourGPT and Causal to Build Intelligent Automations

Choose a Trigger

YourGPT

When this happens...

Choose an Action

Causal

Automatically do this!

Enable Integrations or automations with these events of YourGPT and Causal

Enable Integrations or automations with these events of YourGPT and Causal

Triggers

Message Received

Message Received

Triggers when a new message is received in your YourGPT chatbot session.

User Message Sent

User Message Sent

Triggers when a user sends a message to the YourGPT chatbot in an active session.

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Actions

Send Message

Send Message

To send a new message.

Create New Session

Create New Session

To create a new Session

Request a new Action for YourGPT

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Frequently Asked Questions

How do I start an integration between YourGPT and Causal?

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

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

Absolutely. You can customize how YourGPT 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 YourGPT and Causal?

The data sync between YourGPT 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 YourGPT 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 YourGPT and Causal?

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

YourGPT

About YourGPT

YourGPT is an advanced AI tool designed to assist users in generating human-like text based on the input provided. It leverages state-of-the-art machine learning models to understand and produce text that is coherent and contextually relevant, making it ideal for content creation, customer support, and more.

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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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