API Introduction
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Graphite Note offers three powerful APIs to enhance your data-driven workflows. Whether you need to upload fresh data, generate predictions, or retrieve model outputs, these APIs are designed for seamless integration and rapid deployment
-enables users to easily populate their datasets by sending data directly to Graphite Note, ensuring seamless data integration.
-allows users to request predictions based on attributes they provide, leveraging Graphite Note’s machine learning models to generate accurate business forecasts.
-lets users fetch the outputs of their trained models in a structured, paginated format. This is especially useful for viewing or processing large prediction result sets in batches.
– provides clean and structured metadata about your models, including codes, names, timestamps, dataset linkage, and full model configuration (excluding bulky training artifacts), making it ideal for MLOps, auditing, and cataloging.
Each API is straightforward to use, allowing you to integrate predictive analytics into your existing systems rapidly and effectively. This section offers a comprehensive overview of testing and command usage, including detailed instructions on how to make the most of these APIs.
This section offers a comprehensive overview of testing and command usage, including detailed instructions. If you're new to the API, we recommend starting with the quick start guide. It's a straightforward solution designed to validate your setup and ensure you begin on the right track. We value your feedback and strive to provide the best experience possible. If you encounter any challenges with commands that should be included in the API or its documentation, our dedicated support team is ready to assist you. Feel free to reach out to us via our in-app chat or by emailing , and we'll be more than happy to guide you in the right direction or incorporate any necessary updates.
