
When this happens...

Automatically do this!
Get All Uploads
List Import Schemas
Get Import Schema
Delete an import schema
Create Schema
Enable Integrations or automations with these events of Not Diamond and Dromo
Sends the prompt to the /modelSelect endpoint which will return a label for which LLM should be called.
Fetch all the uploaded data.
List all the import schemas.
Retrieve a selected import schema
Remove the import schema.
Creates a new schema.
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To start, connect both your Not Diamond and Dromo accounts to viaSocket. Once connected, you can set up a workflow where an event in Not Diamond triggers actions in Dromo (or vice versa).
Absolutely. You can customize how Not Diamond data is recorded in Dromo. This includes choosing which data fields go into which fields of Dromo, setting up custom formats, and filtering out unwanted information.
The data sync between Not Diamond and Dromo 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 Not Diamond and Dromo. 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.
Not Diamond is an innovative AI-driven platform designed to provide advanced analytics and insights. It leverages artificial intelligence to help businesses make data-driven decisions, optimize operations, and enhance overall performance. With its cutting-edge technology, Not Diamond offers a comprehensive suite of tools for data analysis, predictive modeling, and strategic planning.
Learn MoreDromo is a powerful data import platform designed to simplify and streamline the process of importing data into applications. It offers a user-friendly interface and robust features to handle complex data import tasks efficiently, making it ideal for businesses looking to enhance their data management capabilities.
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