Connect Agora and Causal to Build Intelligent Automations
Enable Integrations or automations with these events of Agora and Causal
Enable Integrations or automations with these events of Agora and Causal
Actions
Get project usage
Gets the usage data of a specified project.
Enable or Disable Primary app
Enables or disables the primary app certificate for a project by ID.
Set IP Address
Sets the IP of the recording server for a project by ID.
Enable or Disable a Project
Enables or Disables a project by ID.
Get a Project by ID
Gets the info on a project by ID.
Create a project
Creates a new project.
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- InstagramInstagram CaptionGenerate ImagePublish Photo with TaggingAdd Step
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Automate Instagram DM Replies, Reactions, and Team Alerts
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Frequently Asked Questions
To start, connect both your Agora and Causal accounts to viaSocket. Once connected, you can set up a workflow where an event in Agora triggers actions in Causal (or vice versa).
Absolutely. You can customize how Agora 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.
The data sync between Agora and Causal typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Agora 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.
About Agora
Agora offers real-time voice, video, and live interactive streaming platforms, enabling developers to embed real-time video and voice functionalities into their applications.
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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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