NameAPI is a web API
to handle people's names
in your software.

News

24.02.2025

Version 10.7.0 Released

Release of Optimaize PII Platform, version 10.7.0.


20.01.2025

2024 Around the World

2024 has been a pivotal year for Optimaize, with notable advancements in our software capabilities,...


16.12.2024

Dictionary Update: Armenian Names

The Armenian language, part of the Indo-European family, stands out and forms its own branch....


18.11.2024

Dictionary Update: Ukrainian Names

A member of the East Slavic family, the Ukrainian language shares deep historical roots with...


04.11.2024

New Python Client Library Released

We have implemented a Python client library, now available on PyPI, providing easy access to...


   

Risk Detector


       
Detects various types of possibly fake data in person records. It performs checks on the person's name, email address, telephone number and address.
See also the Swagger specification.
                    
POST
       
application/json (you must set the content-type as http header)
       
We have integrated Swagger directly into our API.
Visit https://api.nameapi.org/rest/swagger-ui/.

   

Input

               
See Context.
   
{
  "context": {},
  "inputPerson": {
    "type" : "NaturalInputPerson",
    "emailAddresses": [
      {
        "type" : "EmailAddressImpl",
        "emailAddress": "[email protected]"
      }
    ],
    "correspondenceLanguage": "en",
    "addresses": [
      {
        "type" : "UseForAllAddressRelation",
        "address": {
           "type" : "StructuredAddress",
          "placeInfo": {
            "type" : "StructuredPlaceInfo",
            "locality": "Atlantis",
            "postalCode": "55555"
          },
          "streetInfo": {
            "type" : "StructuredStreetInfo",
            "streetName": "Hill road",
            "houseNumber": "72"
          }
        }
      }
    ],
    "telNumbers": [
      {
        "type" : "SimpleTelNumber",
        "fullNumber": "999 999 999"
      }
    ],
     "personName" : {
      "nameFields" : [ {
        "string" : "John",
        "fieldType" : "GIVENNAME"
      }, {
        "string" : "Doe",
        "fieldType" : "SURNAME"
      } ]
    }
  }
}
      
   

   

Output

        
An overall score considering all the detected risks and all the positive attributes of the record. Range [-1,1].
  • Range [-1,0) means no risks were detected and the record looks good.
  • 0 means no risks were detected, but also no positive attributes were found, the service can't tell for sure.
  • Range (0,1] means one or multiple risks were detected.
       
A list of all the detected risks. Sorted by severity having the worst come first.
See RiskDetectorResult.
   
{
  "score" : 1.0,
  "risks" : [ {
    "dataItem" : "EMAIL",
    "riskScore" : 1.0,
    "reason" : "Domain of email address '[email protected]' has a risk to be a placeholder.",
    "riskType" : [ "FakeRiskType", "OTHER" ]
  }, {
    "dataItem" : "EMAIL",
    "riskScore" : 1.0,
    "reason" : "Domain of email address '[email protected]' has a risk to contain placeholder.",
    "riskType" : [ "FakeRiskType", "PLACEHOLDER" ]
  }, {
    "dataItem" : "NAME",
    "riskScore" : 0.97,
    "riskType" : [ "FakeRiskType", "PLACEHOLDER" ]
  }, {
    "dataItem" : "TEL",
    "riskScore" : 0.7,
    "reason" : "Tel number '999 999 999' contains repeating patterns.",
    "riskType" : [ "FakeRiskType", "OTHER" ]
  }, {
    "dataItem" : "ADDRESS",
    "riskScore" : 0.6,
    "reason" : "Atlantis",
    "riskType" : [ "FakeRiskType", "FICTIONAL" ]
  }, {
    "dataItem" : "TEL",
    "riskScore" : 0.5,
    "reason" : "Tel number '999 999 999' is invalid.",
    "riskType" : [ "FakeRiskType", "INVALID" ]
  }, {
    "dataItem" : "TEL",
    "riskScore" : 0.5,
    "reason" : "Tel number '999 999 999' contains risky equal digit sequences.",
    "riskType" : [ "FakeRiskType", "OTHER" ]
  }, {
    "dataItem" : "ADDRESS",
    "riskScore" : 0.4,
    "reason" : "Postal code '55555' looks like a random typing.",
    "riskType" : [ "FakeRiskType", "RANDOM_TYPING" ]
  } ]
}