Connect Maestra and VectorShift to Build Intelligent Automations
Enable Integrations or automations with these events of Maestra and VectorShift
Enable Integrations or automations with these events of Maestra and VectorShift
Actions
Create Channel
Create a new channel within a workspace
Upload File
Initiates a new file upload to Maestra.
List Files
Grabs the file list with key id and basic information.
Create Pipeline
Creates a new VectorShift pipeline with the provided name and optional description.
List Pipelines
Retrieve the pipelines available to the current user. Optional parameters: include pipelines shared with you and return full pipeline objects instead of only IDs.
Run pipeline
Run a VectorShift pipeline with provided inputs and return the run results.
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Frequently Asked Questions
To start, connect both your Maestra and VectorShift accounts to viaSocket. Once connected, you can set up a workflow where an event in Maestra triggers actions in VectorShift (or vice versa).
Absolutely. You can customize how Maestra data is recorded in VectorShift. This includes choosing which data fields go into which fields of VectorShift, setting up custom formats, and filtering out unwanted information.
The data sync between Maestra and VectorShift 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 Maestra and VectorShift. 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 Maestra
Maestra is a highly accurate speech to text software. Translate in English, French, Spanish, German and 80+ languages.
Learn MoreAbout VectorShift
VectorShift is an advanced AI platform designed to enhance data analysis and visualization. It leverages cutting-edge machine learning algorithms to transform complex datasets into actionable insights, making it an essential tool for businesses looking to optimize their decision-making processes.
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