Introduction
This is a collection of pre-built data transformations to parse, structure or categorize your data within minutes, without having to build a custom workflow from scratch.
These are particularly useful for out-of-the-box use cases — where the end use case is standard, and you can immediately start consuming the transformed data.
These data transformations are available in the form of API endpoints - just start calling the endpoint with your data.
Accessing the Transformation Catalog
Access the catalog of data transformation by visiting the Catalog page here.
Within the catalog, each transformation will have a title and brief description detailing the use case, along with the date it was last updated.
Individual data transformation page
Upon accessing a data transformation, you will be presented with two panels, one for the API request (on the left) and one for the response (on the right).
You can either test it out right there in the browser, or call the transformation via cURL, Python, or JavaScript.
Running a data transformation
After the API framework and LLM have been selected, running the data transformation is simply a matter of:
- Fill out the request parameters with all the relevant information (for example
resume_linkfor theResume Parsingtransformation) - Hit “Send request”
- Review outputs on the “response” panel on the right
Batch Processing
We recommend processing up to 10 at a time in a single request through the API (which autoscales), and if you want to process larger datasets through cloud storage or our data warehouse integration, you can get started with the full Refuel Cloud platform (sign up here).