Rest API

Arize AI for Model Monitoring, Troubleshooting, and Explainability

Overview

Arize's APIs are the main ingresses for data which powers our platform. Most applications will use an existing SDK in the language of your choice, but it's important to know what the underlying API looks like first in case you want to work in a language without a current SDK implementation.

Authentication

Arize uses API keys in conjunction with a Space id in order to authenticate request. You will receive your keys once you sign up for our product. Your API and Space id are the keys to your data castle so be sure to keep them secure. Do not share your keys in public forums including Github, StackOverflow, logs, etc. The API key is authenticated via auth header, use -H 'Authorization: API_KEY_VALUE' while the Space id is included on the body of the request

Response Codes

Arize uses conventional HTTP response codes to convey resulting success or failure of a given request. Codes in the 2XX range indicate success, 4XX range indicate content failure, 5XX indicate errors with Arize's edge servers.

Status Code	Message	Reason
200	OK	Success
403	cannot access request headers	Failure when accessing incoming request's headers
403	must provide authorization header�	Missing Authorization header
403	unable to validate authorization header	Space id is not valid
403	invalid api-key	API Key is not valid
400	log must include prediction or actual	Prediction or Actual is a required field and it's not present
400	invalid feature type	Feature data type is not supported
400	timestamp must range from now back to T-90 days	Record timestamp can only be backdated up to 90 days
500	Internal service error, contact Arize	Internal error processing messages - Contact Arize

Full Record

To send an individual prediction record, you should hit Arize's log API https://api.arize.com/v1/log

Supported label types

Label	data type
"numeric"	double
"score categorical"	Tuple (string, float)

Request Example (numeric label)

curl --request POST 'https://api.arize.com/v1/log' \
--header 'Authorization: API_KEY' \
--data-raw '{
   "model_id":"example_model_id",
   "prediction_id":"ef00f52c-d6d4-4e48-84cd-70166b3f423f",
   "prediction":{
      "timestamp":"2020-10-02T00:37:30.208687Z",   //Optional, defaults to now()
      "model_version":"v0.1",
      "label":{
         "numeric":0.1
      },
      "features":{
         "feature_1_float":{
            "double":0.6604474844066184
         },
         "feature_2_str":{
            "string":"str val"
         },
         "feature_4_bool":{
            "string":"True"
         },
         "feature_2_float":{
            "double":0.02876647860632975
         },
         "feature_3_float":{
            "double":0.3358383777892534
         },
         "feature_0_np_ll":{
            "int":"77"
         },
         "feature_3_bool":{
            "string":"True"
         },
         "feature_1_str":{
            "string":"str val"
         },
         "feature_1_np_ll":{
            "int":"1"
         },
         "feature_4_float":{
            "double":0.9681327640084113
         },
         "image_embedding":{
            "embedding":{
               "vector":[
                  1.0,
                  2.0,
                  3.0
               ],
               "link_to_data":"https://my-bucket.s3.us-west-2.amazonaws.com/puppy.png"
            }
         },
         "feature_2_bool":{
            "string":"True"
         },
         "feature_2_np_ll":{
            "int":"91"
         },
         "feature_0_str":{
            "string":"str val"
         },
         "feature_4_np":{
            "double":0.543297819558724
         },
         "feature_1_bool":{
            "string":"True"
         },
         "feature_3_np":{
            "double":0.5149428483266209
         },
         "feature_4_str":{
            "string":"str val"
         },
         "nlp_embedding_sentence":{
            "embedding":{
               "vector":[
                  4.0,
                  5.0,
                  6.0,
                  7.0
               ],
               "link_to_data":"",
               "raw_data":{
                  "tokenArray":{
                     "tokens":[
                        "This is a test sentence"
                     ]
                  }
               }
            }
         },
         "feature_2_np":{
            "double":0.29966708188607294
         },
         "feature_3_np_ll":{
            "int":"46"
         },
         "feature_1_np":{
            "double":0.8751167134832335
         },
         "feature_0_np":{
            "double":0.3854629460534247
         },
         "feature_0_bool":{
            "string":"True"
         },
         "feature_4_np_ll":{
            "int":"74"
         },
         "feature_0_float":{
            "double":0.5696514798125208
         },
         "feature_3_str":{
            "string":"str val"
         },
         "nlp_embedding_tokens":{
            "embedding":{
               "vector":[
                  4.0,
                  5.0,
                  6.0,
                  7.0
               ],
               "link_to_data":"",
               "raw_data":{
                  "tokenArray":{
                     "tokens":[
                        "This",
                        "is",
                        "a",
                        "test",
                        "token",
                        "array"
                     ]
                  }
               }
            }
         }
      },
      "tags":{
         "tag_str":{
            "string":"arize"
         },
         "tag_int":{
            "int":"0"
         },
         "tag_double":{
            "double":20.2
         },
         "tag_bool":{
            "string":"True"
         }
      }
   },
   "actual":{
      "label":{
         "numeric":0.1
      },
      "tags":{
         "tag_str":{
            "string":"arize"
         },
         "tag_int":{
            "int":"0"
         },
         "tag_double":{
            "double":20.2
         },
         "tag_bool":{
            "string":"True"
         }
      }
   },
   "space_id":"YOUR SPACE ID HERE",
   "environment_params":{
      "production":{
         
      }
   }
}'

Actual

To send an individual actual record, you should hit Arize's log API https://api.arize.com/v1/log

Supported label types

Label	data type
"numeric"	double
"score categorical"	Tuple (string, float)

Request Example (score categorical label)

curl --request POST 'https://api.arize.com/v1/log' \
--header 'Authorization: API_KEY' \
--data-raw '
{
   "model_id":"example_model_id",                          //Required
   "prediction_id":"027ed30c-6333-4eab-9492-61e117b1b46f", //Required
   "actual":{                                              //Required
      "label":{
         "score_categorical":{
            "score_category":{
               "category":"orange",
               "score":1.0
            }
         }
      }
   },
   "space_id":"YOUR SPACE ID HERE",                      //Required
   "environment_params":{                                  //Required
      "production":{
         
      }
   }
}'

Questions? Email us at [e-mail] or Slack us in the #arize-support channel