 
      Use this API to make synchronous and asynchronous calls to Custom AI Services
curl https://{{ tenant }}.lightenup.ai/customaiservice/{serviceName} \
--request POST \
--header "Authorization: Bearer {access_token}" \
--header "Content-Type: application/json" \
--data @- << EOF
{
   "{input 1}": "{input text 1}",
   "{input 2}": "{input text 2}",
   ...
   "{input n}": "{input text n}"
}
EOF{       
   headers: {
        'Content-Type': 'application/json',
        'Access-Control-Allow-Headers': '*',
        'Access-Control-Allow-Methods': allowMethods, 
        'Access-Control-Allow-Origin': GLOBALS.CORS_ORIGIN,
        'Access-Control-Allow-Credentials': true
   },
   body: {
        'output1': 'output 1 response',
        'output2': 'output 2 response',      
  }
}      curl https://{{ tenant }}.lightenup.ai/webhook/customaiservice/{serviceName}\
--request POST \
--header "Authorization: Bearer {access_token}" \
--header "Content-Type: application/json" \
--data @- << EOF
{
   "input1": "input text 1",
   "input2": "input text 2",
..
   "inputn": "input text n"
}
EOF{
    "outputs": [
        {
            "execution_id": "80e49440-33e4-45f5-9e7e-3504cffa86ff"
        }
    ],
    "service": "cinema_users_segmentation"
}curl https://{{ tenant }}.lightenup.ai/admin/stats\
--request POST \
--header "Authorization: Bearer {access_token}" \
--header "Content-Type: application/json" \
--data @- << EOF
{
   "execution_id": "{execution_id from step 1}",
   "opCode": "exec_logs"
}
EOF"results": [
            {
                "userid": "12345",
                "username": "jon",
                "firstname": "Jon",
                "lastname": "Doe",
                "email": "jon.doe@example.com",
                "registrationdate": "2020-01-15",
                "membershipstatus": "Active",
                "preferredgenre": "Action",
                "favoritemovie": "Inception",
                "movieswatched": "150",
                "lastlogindate": "2023-10-10",
                "itemspurchased": "20",
                "location": "New York, NY",
                "birthdate": "1990-05-24",
                "gender": "Male",
                "cinemavisitsthismonth": "5",
                "cinemavisitsthisyear": "60",
                "lifetimecinemavisits": "200",
                "toppurchaseditem": "Popcorn",
                "mostactivedaypoints": "Friday",
                "points": "1500"
            }
    ],