Connect Tisane and Causal to Build Intelligent Automations

Choose a Trigger

Tisane

When this happens...

Choose an Action

Causal

Automatically do this!

Enable Integrations or automations with these events of Tisane and Causal

Enable Integrations or automations with these events of Tisane and Causal

Actions

Analyze Text

Analyze Text

Processes the input text and returns insights such as sentiment, keywords, or other linguistic data.

Detect Language

Detect Language

Identifies the language of the given text input automatically.

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Frequently Asked Questions

How do I start an integration between Tisane and Causal?

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

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

Absolutely. You can customize how Tisane 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 Tisane and Causal?

The data sync between Tisane 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 Tisane 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 Tisane and Causal?

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

Tisane

About Tisane

Tisane is NLU with a focus on abusive content & lawtech / regtech needs. We detect cyberbullying / personal attacks, hate speech, sexual advances, obfuscated profanities, criminal activity, 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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