Hi there,
The final Nexadata release of the Fall 2025 season delivers major platform improvements. At the center of this release is the new Connector Copilot, which enables Nexadata to connect to virtually any system with a REST API. This update also includes new support for dynamic date and time insertion, expanded coverage of natural language transformations, and improved data cleanup tools.
The Connector Copilot allows users to create datasets from any REST API using natural language, with no custom code or manual connector setup required.
Powered by agentic AI, the Connector Copilot autonomously interprets an API specification (such as an OpenAPI or Swagger file), determines how to authenticate, and constructs valid API requests that return structured, analytics-ready data. It automatically handles schema parsing, pagination, and nested fields so users can focus on describing what data they want, not how to retrieve it.
Users start by providing an API specification. From there, the Connector Copilot will:

The Connector Copilot automatically detects the authentication method based on the API specification or endpoint behavior. It currently supports:
Once detected, the Connector Copilot guides users through the credential setup without requiring technical configuration.
🔧 Available now: Create datasets from APIs using OpenAPI specs and natural language.
🚀 Coming soon:
You can now insert dynamic, runtime-generated date and time values into fields using the @date function.
This works in most fields, including column names, values, and labels. It's useful for:
Just start typing @date and choose a format like %y-%m-%d, or type your own.
Nexadata now supports all transformations when using natural language to add steps in a pipeline. This includes advanced operations like joining datasets, formatting values, cleaning columns, and more.
The system better understands user intent and automatically applies the appropriate logic based on the prompt's language.
Here are some example prompts you can try:
Invisible characters, such as tabs, extra spaces, and blank values, can now be identified and removed or replaced using Find & Replace.
This helps clean up inconsistent or unstructured data, especially in columns where formatting issues might otherwise be hard to detect.
Find & Replace now works on numeric columns. When used, the column is automatically converted to text format.
💡 If you need to perform math operations like scaling, filtering, or aggregating, use Nexadata’s Math functions instead to preserve numeric typing.
Thanks for being part of the Nexadata journey. This update sets the foundation for deeper integration and automation capabilities coming in Winter 2026.
— The Nexadata Team