Amazon AWS Machine Learning HTTP request

I have created AWS Machine Learning model with working real-time endpoint. I want to consume created service via HTTP request. For testing purpose I'm using Postman, I've created request according to Amazon's API documentation but every time I get the same exception: UnknownOperationException. While I'm using Python SDK the service is working fine. Below example that gets model info.

That's my request (fake credentials):

POST  HTTP/1.1
Host: realtime.machinelearning.us-east-1.amazonaws.com
Content-Type: application/json
X-Amz-Target: AmazonML_20141212.GetMLModel
X-Amz-Date: 20170714T124250Z
Authorization: AWS4-HMAC-SHA256 Credential=JNALSFNLANFAFS/20170714/us-east-1/AmazonML/aws4_request, SignedHeaders=content-length;content-type;host;x-amz-date;x-amz-target, Signature=fiudsf9sdfh9sdhfsd9hfsdkfdsiufhdsfoidshfodsh
Cache-Control: no-cache
Postman-Token: hd9sfh9s-idsfuuf-a32c-31ca-dsufhdso

{
   "MLModelId": "ml-Hfdlfjdof0807",
   "Verbose": true
}

Exception I get:

{
    "Output": {
        "__type": "com.amazon.coral.service#UnknownOperationException",
        "message": null
    },
    "Version": "1.0"
}