Connect 3Scribe and Causal to Build Intelligent Automations

Choose a Trigger

3Scribe

When this happens...

Choose an Action

Causal

Automatically do this!

Enable Integrations or automations with these events of 3Scribe and Causal

Enable Integrations or automations with these events of 3Scribe and Causal

Triggers

Job Complete

Job Complete

Triggers when a transcription job has completed.

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Actions

Create Transcription Job

Create Transcription Job

Posts a file to 3Scribe to be transcribed

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Frequently Asked Questions

How do I start an integration between 3Scribe and Causal?

To start, connect both your 3Scribe and Causal accounts to viaSocket. Once connected, you can set up a workflow where an event in 3Scribe triggers actions in Causal (or vice versa).

Can we customize how data from 3Scribe is recorded in Causal?

Absolutely. You can customize how 3Scribe 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 3Scribe and Causal?

The data sync between 3Scribe 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 3Scribe 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 3Scribe and Causal?

Yes, you can set conditional logic to control the flow of data between 3Scribe 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.

3Scribe

About 3Scribe

3Scribe is the most accurate, automated text transcription available. We convert audio and video files and give near human accuracy at automated prices.

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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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