REST API guide | Umnai | Documentation

Use the REST API to prepare data, train and deploy models, and request predictions and explanations from your applications.

Start with the quickstart

Follow the Quickstart to run a complete workflow with sample data, from ingestion to your first prediction and explanation.

Before you begin, sign in to the platform UI. You will create your API credentials there as part of the quickstart.

For detailed workflows, use the sections below. For endpoint definitions, request fields and response schemas, use the API reference.

Area	Covers	Start with
Setup	Account storage, authentication, credentials, and shared compute configuration.	Account storage
Data	Data preparation, source-storage access, schemas, ingestion, onboarding, datasources, and datasets.	Prepare data
Models	Training configuration, constraints, workspaces, training jobs, and trained models.	Training
Deployment	Deployment configuration and deployed model management.	Configuration
Views	Prediction, explanation, evaluation, inspection, and analysis views.	Overview
Administration	Account access, users, roles, profile, and settings.	Overview

For screen-based workflows, see the Web app guide.