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- Getting started
- Notifications
- Projects
- Datasets
- Data Labeling
- ML packages
- Out of the box packages
- Pipelines
- ML Skills
- ML Logs
- Document UnderstandingTM in AI Center
- AI Center API
- Licensing
- AI Solutions Templates
- How to
- Invoke public ML Skills using API
- Save infrastructure costs using AI Center APIs
- Update ML Skill deployment using API
- Basic Troubleshooting Guide
AI Center user guide
Last updated May 8, 2026
Before starting this procedure, check the following pages for more information on ML Skills:
To use a public ML Skill, you need the following:
- Port 433 must be open.
- Access to the target ML Skill URL.
- Access to the AI Units API key for the organization the ML Skill is deployed on.
A public ML Skill generates a URL and an API key. These will be used in an API call to request predictions.
You can find the URL and the API key in the ML Skill details section.
- Create a POST request with the generated ML Skill URL.
- Create a
X-UIPATH-Licenseheader field using the value generated by the API key. - Create a
Content-Typeheader field with theapplication/jsonvalue for inputs in JSON format (or ML Skills that expect data in JSON. - Create a request body containing actual data in JSON format:
curl --location --request POST 'yourURL' \ --header 'X-UIPATH-License: yourAPIKey' \ --header 'Content-Type: application/json' \ --data-raw '{"data":"test"}'curl --location --request POST 'yourURL' \ --header 'X-UIPATH-License: yourAPIKey' \ --header 'Content-Type: application/json' \ --data-raw '{"data":"test"}'