Table of Contents


  1. Preface
  2. Informatica Intelligent Cloud Services REST API
  3. Platform REST API version 2 resources
  4. Platform REST API version 3 resources
  5. Data Integration REST API
  6. Mass Ingestion Files REST API
  7. Mass Ingestion Streaming REST API
  8. Model Serve REST API
  9. RunAJob utility
  10. ParamSetCli utility
  11. REST API codes
  12. REST API resource quick references

REST API Reference

REST API Reference

Model Serve REST API

Model Serve

Use the
Model Serve
REST API resources to create and deploy
Model Serve
When you use
Model Serve
resources, note the following rules:
  • Use JSON or XML format.
  • The base URL that you use depends on the request that you make. Use one of the following options:
    • To generate predictions from a quick start model, use the predictUrl value from the request for information about a single quick start model.
    • To generate predictions from a user-defined machine learning model, use the predictUrl value from the request to monitor a model deployment.
    • To make any other request, use the serverUrl value from the login response. For example:
  • Use the following request header format:
    <METHOD> <serverUrl>/<URI> HTTP/<HTTP version> Content-Type: application/json Accept: application/json icSessionId: <SessionId>
If you use a tool such as Postman that automatically includes the HTTP version, do not enter the HTTP version in the URL. If the HTTP version appears twice in the URL, the request fails.


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