Watsonx APIs

APIs for generative AI

You can work with foundation models programmatically to develop generative AI solutions by using:

• watsonx.ai REST API
• Foundation models Python library

For examples of how to use the foundation models Python library, see Foundation models Python library.

APIs for machine learning

You can manage spaces, deployments, and assets programmatically by using:

• Watson Machine Learning REST API
• The ibm-watson-machine-learning Python library

For links to sample Jupyter Notebooks that demonstrate how to manage spaces, deployments, and assets programmatically, see Machine Learning Python client samples and examples.

APIs for AI Factsheets

You can manage settings, model entries, and report templates programmatically by using:

• AI Factsheets REST API
• AI Factsheets Python library

APIs for Watson OpenScale

You can manage data and settings for model evaluations programatically by using:

• Watson OpenScale REST API
• Watson OpenScale Python Library

APIs for watsonx Governance Console

If you have enabled the optional integration with the Governance Console from IBM OpenPages, you can manage governance activities programmatically by using:

• IBM OpenPages REST API

APIs for managing assets and collaborators

You can manage data-related assets and collaborators by using the Watson Data API.

Learn more

• watsonx.ai REST API docs
• Foundation models Python library docs
• Watson Machine Learning REST API docs
• The ibm-watson-machine-learning Python library docs
• AI Factsheets REST API docs
• AI Factsheets Python library docs
• Watson Data API docs
• Connections in the Watson Data API docs

Parent topic: Getting started