NamSor.jl

Julia wrappers for NamSor v2 API
Author NeroBlackstone
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May 2024

NamSor.jl

Julia client for NamSor API v2.

API key

Please apply for your NamSor API key first. Then paste your api key at $HOME/.config/NAMSOR_KEY.txt. Or save api key to NAMSOR_KEY environment variable.

Initialization

Before calling the NamSor interface, you need to initialize the corresponding NamSor API through init_api().

There are 7 API implementations. You need to initialize them to call the corresponding interfaces.

  • AdminApi
  • ChineseApi
  • GeneralApi
  • IndianApi
  • JapaneseApi
  • PersonalApi
  • SocialApi

To confirm the API implementation corresponding to specific API Endpoints, please check API Endpoints.

For example, analyzes name "Julia Fox" to identify its country of origin.

julia> using NamSor
julia> personal_api = init_api(APIClient.PersonalApi)
julia> first(origin(personal_api,"Julia","Fox"))
{
  "script": "LATIN",
  "id": "0893c8d7-4f9e-4718-8946-d2fcdd7929a2",
  "firstName": "Julia",
  "lastName": "Fox",
  "countryOrigin": "IE",
  "countryOriginAlt": "GB",
  "countriesOriginTop": [
    "IE",
    "GB",
    "ES",
    "IL",
    "NA",
    "PT",
    "SK",
    "DE",
    "BE",
    "FR"
  ],
  "score": 2.994869283184946,
  "regionOrigin": "Europe",
  "topRegionOrigin": "Europe",
  "subRegionOrigin": "Northern Europe",
  "probabilityCalibrated": 0.5070530505259684,
  "probabilityAltCalibrated": 0.8538791383744339
}

Julia API client for APIClient

NamSor API v2 : enpoints to process personal names (gender, cultural origin or ethnicity) in all alphabets or languages. By default, enpoints use 1 unit per name (ex. Gender), but Ethnicity classification uses 10 to 20 units per name depending on taxonomy. Use GET methods for small tests, but prefer POST methods for higher throughput (batch processing of up to 100 names at a time). Need something you can't find here? We have many more features coming soon. Let us know, we'll do our best to add it!

Overview

This API client was generated by the OpenAPI Generator project. By using the openapi-spec from a remote server, you can easily generate an API client.

  • API version: 2.0.29
  • Generator version: 7.5.0
  • Build package: org.openapitools.codegen.languages.JuliaClientCodegen For more information, please visit http://www.namsor.com/

Installation

Place the Julia files generated under the src folder in your Julia project. Include APIClient.jl in the project code. It would include the module named APIClient.

Documentation is generated as markdown files under the docs folder. You can include them in your project documentation. Documentation is also embedded in Julia which can be used with a Julia specific documentation generator.

API Endpoints

Class Method
AdminApi anonymize
GET /api2/json/anonymize/{source}/{anonymized}
Activate/deactivate anonymization for a source.
AdminApi anonymize1
GET /api2/json/anonymize/{source}/{anonymized}/{token}
Activate/deactivate anonymization for a source.
AdminApi api_key_info
GET /api2/json/apiKeyInfo
Read API Key info.
AdminApi api_status
GET /api2/json/apiStatus
Prints the current status of the classifiers. A classifier name in apiStatus corresponds to a service name in apiServices.
AdminApi api_usage
GET /api2/json/apiUsage
Print current API usage.
AdminApi api_usage_history
GET /api2/json/apiUsageHistory
Print historical API usage.
AdminApi api_usage_history_aggregate
GET /api2/json/apiUsageHistoryAggregate
Print historical API usage (in an aggregated view, by service, by day/hour/min).
AdminApi available_services
GET /api2/json/apiServices
List of classification services and usage cost in Units per classification (default is 1=ONE Unit). Some API endpoints (ex. Corridor) combine multiple classifiers.
AdminApi disable
GET /api2/json/disable/{source}/{disabled}
Activate/deactivate an API Key.
AdminApi learnable
GET /api2/json/learnable/{source}/{learnable}/{token}
Activate/deactivate learning from a source.
AdminApi learnable1
GET /api2/json/learnable/{source}/{learnable}
Activate/deactivate learning from a source.
AdminApi regions
GET /api2/json/regions
Print basic source statistics.
AdminApi software_version
GET /api2/json/softwareVersion
Get the current software version
AdminApi taxonomy_classes
GET /api2/json/taxonomyClasses/{classifierName}
Print the taxonomy classes valid for the given classifier.
ChineseApi chinese_name_candidates
GET /api2/json/chineseNameCandidates/{chineseSurnameLatin}/{chineseGivenNameLatin}
Identify Chinese name candidates, based on the romanized name ex. Wang Xiaoming
ChineseApi chinese_name_candidates_batch
POST /api2/json/chineseNameCandidatesBatch
Identify Chinese name candidates, based on the romanized name (firstName = chineseGivenName; lastName=chineseSurname), ex. Wang Xiaoming
ChineseApi chinese_name_candidates_gender_batch
POST /api2/json/chineseNameCandidatesGenderBatch
Identify Chinese name candidates, based on the romanized name (firstName = chineseGivenName; lastName=chineseSurname) ex. Wang Xiaoming.
ChineseApi chinese_name_gender_candidates
GET /api2/json/chineseNameGenderCandidates/{chineseSurnameLatin}/{chineseGivenNameLatin}/{knownGender}
Identify Chinese name candidates, based on the romanized name ex. Wang Xiaoming - having a known gender ('male' or 'female')
ChineseApi chinese_name_match
GET /api2/json/chineseNameMatch/{chineseSurnameLatin}/{chineseGivenNameLatin}/{chineseName}
Return a score for matching Chinese name ex. ็Ž‹ๆ™“ๆ˜Ž with a romanized name ex. Wang Xiaoming
ChineseApi chinese_name_match_batch
POST /api2/json/chineseNameMatchBatch
Identify Chinese name candidates, based on the romanized name (firstName = chineseGivenName; lastName=chineseSurname), ex. Wang Xiaoming
ChineseApi gender_chinese_name
GET /api2/json/genderChineseName/{chineseName}
Infer the likely gender of a Chinese full name ex. ็Ž‹ๆ™“ๆ˜Ž
ChineseApi gender_chinese_name_batch
POST /api2/json/genderChineseNameBatch
Infer the likely gender of up to 100 full names ex. ็Ž‹ๆ™“ๆ˜Ž
ChineseApi gender_chinese_name_pinyin
GET /api2/json/genderChineseNamePinyin/{chineseSurnameLatin}/{chineseGivenNameLatin}
Infer the likely gender of a Chinese name in LATIN (Pinyin).
ChineseApi gender_chinese_name_pinyin_batch
POST /api2/json/genderChineseNamePinyinBatch
Infer the likely gender of up to 100 Chinese names in LATIN (Pinyin).
ChineseApi parse_chinese_name
GET /api2/json/parseChineseName/{chineseName}
Infer the likely first/last name structure of a name, ex. ็Ž‹ๆ™“ๆ˜Ž -> ็Ž‹(surname) ๆ™“ๆ˜Ž(given name)
ChineseApi parse_chinese_name_batch
POST /api2/json/parseChineseNameBatch
Infer the likely first/last name structure of a name, ex. ็Ž‹ๆ™“ๆ˜Ž -> ็Ž‹(surname) ๆ™“ๆ˜Ž(given name).
ChineseApi pinyin_chinese_name
GET /api2/json/pinyinChineseName/{chineseName}
Romanize the Chinese name to Pinyin, ex. ็Ž‹ๆ™“ๆ˜Ž -> Wang (surname) Xiaoming (given name)
ChineseApi pinyin_chinese_name_batch
POST /api2/json/pinyinChineseNameBatch
Romanize a list of Chinese name to Pinyin, ex. ็Ž‹ๆ™“ๆ˜Ž -> Wang (surname) Xiaoming (given name).
GeneralApi name_type
GET /api2/json/nameType/{properNoun}
Infer the likely type of a proper noun (personal name, brand name, place name etc.)
GeneralApi name_type_batch
POST /api2/json/nameTypeBatch
Infer the likely common type of up to 100 proper nouns (personal name, brand name, place name etc.)
GeneralApi name_type_geo
GET /api2/json/nameTypeGeo/{properNoun}/{countryIso2}
Infer the likely type of a proper noun (personal name, brand name, place name etc.)
GeneralApi name_type_geo_batch
POST /api2/json/nameTypeGeoBatch
Infer the likely common type of up to 100 proper nouns (personal name, brand name, place name etc.)
IndianApi caste_indian_batch
POST /api2/json/casteIndianBatch
[USES 10 UNITS PER NAME] Infer the likely Indian name caste of up to 100 personal Indian Hindu names.
IndianApi castegroup_indian
GET /api2/json/castegroupIndian/{subDivisionIso31662}/{firstName}/{lastName}
[USES 10 UNITS PER NAME] Infer the likely Indian name castegroup of a first / last name.
IndianApi castegroup_indian_batch
POST /api2/json/castegroupIndianBatch
[USES 10 UNITS PER NAME] Infer the likely Indian name castegroup of up to 100 personal first / last names.
IndianApi castegroup_indian_full
GET /api2/json/castegroupIndianFull/{subDivisionIso31662}/{personalNameFull}
[USES 10 UNITS PER NAME] Infer the likely Indian name castegroup of a personal full name.
IndianApi castegroup_indian_full_batch
POST /api2/json/castegroupIndianFullBatch
[USES 10 UNITS PER NAME] Infer the likely Indian name castegroup of up to 100 personal full names.
IndianApi castegroup_indian_hindu
GET /api2/json/casteIndian/{subDivisionIso31662}/{firstName}/{lastName}
[USES 10 UNITS PER NAME] Infer the likely Indian name caste of a personal Hindu name.
IndianApi religion
GET /api2/json/religionIndianFull/{subDivisionIso31662}/{personalNameFull}
[USES 10 UNITS PER NAME] Infer the likely religion of a personal Indian full name, provided the Indian state or Union territory (NB/ this can be inferred using the subclassification endpoint).
IndianApi religion1
GET /api2/json/religionIndian/{subDivisionIso31662}/{firstName}/{lastName}
[USES 10 UNITS PER NAME] Infer the likely religion of a personal Indian first/last name, provided the Indian state or Union territory (NB/ this can be inferred using the subclassification endpoint).
IndianApi religion_indian_batch
POST /api2/json/religionIndianBatch
[USES 10 UNITS PER NAME] Infer the likely religion of up to 100 personal first/last Indian names, provided the subclassification at State or Union territory level (NB/ can be inferred using the subclassification endpoint).
IndianApi religion_indian_full_batch
POST /api2/json/religionIndianFullBatch
[USES 10 UNITS PER NAME] Infer the likely religion of up to 100 personal full Indian names, provided the subclassification at State or Union territory level (NB/ can be inferred using the subclassification endpoint).
IndianApi subclassification_indian
GET /api2/json/subclassificationIndian/{firstName}/{lastName}
[USES 10 UNITS PER NAME] Infer the likely Indian state of Union territory according to ISO 3166-2:IN based on the name.
IndianApi subclassification_indian_batch
POST /api2/json/subclassificationIndianBatch
[USES 10 UNITS PER NAME] Infer the likely Indian state of Union territory according to ISO 3166-2:IN based on a list of up to 100 names.
IndianApi subclassification_indian_full
GET /api2/json/subclassificationIndianFull/{fullName}
[USES 10 UNITS PER NAME] Infer the likely Indian state of Union territory according to ISO 3166-2:IN based on the name.
IndianApi subclassification_indian_full_batch
POST /api2/json/subclassificationIndianFullBatch
[USES 10 UNITS PER NAME] Infer the likely Indian state of Union territory according to ISO 3166-2:IN based on a list of up to 100 names.
JapaneseApi gender_japanese_name_full
GET /api2/json/genderJapaneseNameFull/{japaneseName}
Infer the likely gender of a Japanese full name ex. ็Ž‹ๆ™“ๆ˜Ž
JapaneseApi gender_japanese_name_full_batch
POST /api2/json/genderJapaneseNameFullBatch
Infer the likely gender of up to 100 full names
JapaneseApi gender_japanese_name_pinyin
GET /api2/json/genderJapaneseName/{japaneseSurname}/{japaneseGivenName}
Infer the likely gender of a Japanese name in LATIN (Pinyin).
JapaneseApi gender_japanese_name_pinyin_batch
POST /api2/json/genderJapaneseNameBatch
Infer the likely gender of up to 100 Japanese names in LATIN (Pinyin).
JapaneseApi japanese_name_gender_kanji_candidates_batch
POST /api2/json/japaneseNameGenderKanjiCandidatesBatch
Identify japanese name candidates in KANJI, based on the romanized name (firstName = japaneseGivenName; lastName=japaneseSurname) with KNOWN gender, ex. Yamamoto Sanae
JapaneseApi japanese_name_kanji_candidates
GET /api2/json/japaneseNameKanjiCandidates/{japaneseSurnameLatin}/{japaneseGivenNameLatin}/{knownGender}
Identify japanese name candidates in KANJI, based on the romanized name ex. Yamamoto Sanae - and a known gender.
JapaneseApi japanese_name_kanji_candidates1
GET /api2/json/japaneseNameKanjiCandidates/{japaneseSurnameLatin}/{japaneseGivenNameLatin}
Identify japanese name candidates in KANJI, based on the romanized name ex. Yamamoto Sanae
JapaneseApi japanese_name_kanji_candidates_batch
POST /api2/json/japaneseNameKanjiCandidatesBatch
Identify japanese name candidates in KANJI, based on the romanized name (firstName = japaneseGivenName; lastName=japaneseSurname), ex. Yamamoto Sanae
JapaneseApi japanese_name_latin_candidates
GET /api2/json/japaneseNameLatinCandidates/{japaneseSurnameKanji}/{japaneseGivenNameKanji}
Romanize japanese name, based on the name in Kanji.
JapaneseApi japanese_name_latin_candidates_batch
POST /api2/json/japaneseNameLatinCandidatesBatch
Romanize japanese names, based on the name in KANJI
JapaneseApi japanese_name_match
GET /api2/json/japaneseNameMatch/{japaneseSurnameLatin}/{japaneseGivenNameLatin}/{japaneseName}
Return a score for matching Japanese name in KANJI ex. ๅฑฑๆœฌ ๆ—ฉ่‹— with a romanized name ex. Yamamoto Sanae
JapaneseApi japanese_name_match_batch
POST /api2/json/japaneseNameMatchBatch
Return a score for matching a list of Japanese names in KANJI ex. ๅฑฑๆœฌ ๆ—ฉ่‹— with romanized names ex. Yamamoto Sanae
JapaneseApi japanese_name_match_feedback_loop
GET /api2/json/japaneseNameMatchFeedbackLoop/{japaneseSurnameLatin}/{japaneseGivenNameLatin}/{japaneseName}
[CREDITS 1 UNIT] Feedback loop to better perform matching Japanese name in KANJI ex. ๅฑฑๆœฌ ๆ—ฉ่‹— with a romanized name ex. Yamamoto Sanae
JapaneseApi parse_japanese_name
GET /api2/json/parseJapaneseName/{japaneseName}
Infer the likely first/last name structure of a name, ex. ๅฑฑๆœฌ ๆ—ฉ่‹— or Yamamoto Sanae
JapaneseApi parse_japanese_name_batch
POST /api2/json/parseJapaneseNameBatch
Infer the likely first/last name structure of a name, ex. ๅฑฑๆœฌ ๆ—ฉ่‹— or Yamamoto Sanae
PersonalApi community_engage
GET /api2/json/communityEngage/{countryIso2}/{firstName}/{lastName}
[USES 20 UNITS PER NAME] Infer the likely ethnicity/diaspora, country, gender of a personal name, given a country of residence ISO2 code (ex. US, CA, AU, NZ etc.) for community engagement (require special module/pricing)
PersonalApi community_engage_batch
POST /api2/json/communityEngageBatch
Infer the likely ethnicity/diaspora, country, gender of up to 100 personal names, given a country of residence ISO2 code (ex. US, CA, AU, NZ etc.) for community engagement (require special module/pricing)
PersonalApi community_engage_full
GET /api2/json/communityEngageFull/{countryIso2}/{personalNameFull}
[USES 20 UNITS PER NAME] Infer the likely ethnicity/diaspora, country, gender of a personal name, given a country of residence ISO2 code (ex. US, CA, AU, NZ etc.) for community engagement (require special module/pricing)
PersonalApi community_engage_full_batch
POST /api2/json/communityEngageFullBatch
Infer the likely ethnicity/diaspora, country, gender of up to 100 personal names, given a country of residence ISO2 code (ex. US, CA, AU, NZ etc.) for community engagement (require special module/pricing)
PersonalApi corridor
GET /api2/json/corridor/{countryIso2From}/{firstNameFrom}/{lastNameFrom}/{countryIso2To}/{firstNameTo}/{lastNameTo}
[USES 20 UNITS PER NAME COUPLE] Infer several classifications for a cross border interaction between names (ex. remit, travel, intl com)
PersonalApi corridor_batch
POST /api2/json/corridorBatch
[USES 20 UNITS PER NAME PAIR] Infer several classifications for up to 100 cross border interaction between names (ex. remit, travel, intl com)
PersonalApi country
GET /api2/json/country/{personalNameFull}
[USES 10 UNITS PER NAME] Infer the likely country of residence of a personal full name, or one surname. Assumes names as they are in the country of residence OR the country of origin.
PersonalApi country_batch
POST /api2/json/countryBatch
[USES 10 UNITS PER NAME] Infer the likely country of residence of up to 100 personal full names, or surnames. Assumes names as they are in the country of residence OR the country of origin.
PersonalApi country_fn_ln
GET /api2/json/countryFnLn/{firstName}/{lastName}
[USES 10 UNITS PER NAME] Infer the likely country of residence of a personal first / last name, or one surname. Assumes names as they are in the country of residence OR the country of origin.
PersonalApi country_fn_ln_batch
POST /api2/json/countryFnLnBatch
[USES 10 UNITS PER NAME] Infer the likely country of residence of up to 100 personal first / last names, or surnames. Assumes names as they are in the country of residence OR the country of origin.
PersonalApi diaspora
GET /api2/json/diaspora/{countryIso2}/{firstName}/{lastName}
[USES 20 UNITS PER NAME] Infer the likely ethnicity/diaspora of a personal name, given a country of residence ISO2 code (ex. US, CA, AU, NZ etc.)
PersonalApi diaspora_batch
POST /api2/json/diasporaBatch
[USES 20 UNITS PER NAME] Infer the likely ethnicity/diaspora of up to 100 personal names, given a country of residence ISO2 code (ex. US, CA, AU, NZ etc.)
PersonalApi diaspora_full
GET /api2/json/diasporaFull/{countryIso2}/{personalNameFull}
[USES 20 UNITS PER NAME] Infer the likely ethnicity/diaspora of a personal name, given a country of residence ISO2 code (ex. US, CA, AU, NZ etc.)
PersonalApi diaspora_full_batch
POST /api2/json/diasporaFullBatch
[USES 20 UNITS PER NAME] Infer the likely ethnicity/diaspora of up to 100 personal names, given a country of residence ISO2 code (ex. US, CA, AU, NZ etc.)
PersonalApi gender
GET /api2/json/gender/{firstName}
Infer the likely gender of a just a fiven name, assuming default 'US' local context. Please use preferably full names and local geographic context for better accuracy.
PersonalApi gender1
GET /api2/json/gender/{firstName}/{lastName}
Infer the likely gender of a name.
PersonalApi gender_batch
POST /api2/json/genderBatch
Infer the likely gender of up to 100 names, detecting automatically the cultural context.
PersonalApi gender_full
GET /api2/json/genderFull/{fullName}
Infer the likely gender of a full name, ex. John H. Smith
PersonalApi gender_full_batch
POST /api2/json/genderFullBatch
Infer the likely gender of up to 100 full names, detecting automatically the cultural context.
PersonalApi gender_full_geo
GET /api2/json/genderFullGeo/{fullName}/{countryIso2}
Infer the likely gender of a full name, given a local context (ISO2 country code).
PersonalApi gender_full_geo_batch
POST /api2/json/genderFullGeoBatch
Infer the likely gender of up to 100 full names, with a given cultural context (country ISO2 code).
PersonalApi gender_geo
GET /api2/json/genderGeo/{firstName}/{lastName}/{countryIso2}
Infer the likely gender of a name, given a local context (ISO2 country code).
PersonalApi gender_geo_batch
POST /api2/json/genderGeoBatch
Infer the likely gender of up to 100 names, each given a local context (ISO2 country code).
PersonalApi origin
GET /api2/json/origin/{firstName}/{lastName}
[USES 10 UNITS PER NAME] Infer the likely country of origin of a personal name. Assumes names as they are in the country of origin. For US, CA, AU, NZ and other melting-pots : use 'diaspora' instead.
PersonalApi origin_batch
POST /api2/json/originBatch
[USES 10 UNITS PER NAME] Infer the likely country of origin of up to 100 names, detecting automatically the cultural context.
PersonalApi origin_full
GET /api2/json/originFull/{personalNameFull}
[USES 10 UNITS PER NAME] Infer the likely country of origin of a personal name. Assumes names as they are in the country of origin. For US, CA, AU, NZ and other melting-pots : use 'diaspora' instead.
PersonalApi origin_full_batch
POST /api2/json/originFullBatch
[USES 10 UNITS PER NAME] Infer the likely country of origin of up to 100 names, detecting automatically the cultural context.
PersonalApi parse_name
GET /api2/json/parseName/{nameFull}
Infer the likely first/last name structure of a name, ex. John Smith or SMITH, John or SMITH; John.
PersonalApi parse_name_batch
POST /api2/json/parseNameBatch
Infer the likely first/last name structure of a name, ex. John Smith or SMITH, John or SMITH; John.
PersonalApi parse_name_geo
GET /api2/json/parseName/{nameFull}/{countryIso2}
Infer the likely first/last name structure of a name, ex. John Smith or SMITH, John or SMITH; John. For better accuracy, provide a geographic context.
PersonalApi parse_name_geo_batch
POST /api2/json/parseNameGeoBatch
Infer the likely first/last name structure of a name, ex. John Smith or SMITH, John or SMITH; John. Giving a local context improves precision.
PersonalApi religion2
GET /api2/json/religion/{countryIso2}/{subDivisionIso31662}/{firstName}/{lastName}
[USES 10 UNITS PER NAME] Infer the likely religion of a personal first/last name. NB: only for INDIA (as of current version).
PersonalApi religion_batch
POST /api2/json/religionBatch
[USES 10 UNITS PER NAME] Infer the likely religion of up to 100 personal first/last names. NB: only for India as of currently.
PersonalApi religion_full
GET /api2/json/religionFull/{countryIso2}/{subDivisionIso31662}/{personalNameFull}
[USES 10 UNITS PER NAME] Infer the likely religion of a personal full name. NB: only for INDIA (as of current version).
PersonalApi religion_full_batch
POST /api2/json/religionFullBatch
[USES 10 UNITS PER NAME] Infer the likely religion of up to 100 personal full names. NB: only for India as of currently.
PersonalApi subclassification
GET /api2/json/subclassification/{countryIso2}/{firstName}/{lastName}
[USES 10 UNITS PER NAME] Infer the likely origin of a name at a country subclassification level (state or regeion). Initially, this is only supported for India (ISO2 code 'IN').
PersonalApi subclassification_batch
POST /api2/json/subclassificationBatch
[USES 10 UNITS PER NAME] Infer the likely origin of a list of up to 100 names at a country subclassification level (state or regeion). Initially, this is only supported for India (ISO2 code 'IN').
PersonalApi subclassification_full
GET /api2/json/subclassificationFull/{countryIso2}/{fullName}
[USES 10 UNITS PER NAME] Infer the likely origin of a name at a country subclassification level (state or regeion). Initially, this is only supported for India (ISO2 code 'IN').
PersonalApi subclassification_full_batch
POST /api2/json/subclassificationFullBatch
[USES 10 UNITS PER NAME] Infer the likely origin of a list of up to 100 names at a country subclassification level (state or regeion). Initially, this is only supported for India (ISO2 code 'IN').
PersonalApi us_race_ethnicity
GET /api2/json/usRaceEthnicity/{firstName}/{lastName}
[USES 10 UNITS PER NAME] Infer a US resident's likely race/ethnicity according to US Census taxonomy W_NL (white, non latino), HL (hispano latino), A (asian, non latino), B_NL (black, non latino). Optionally add header X-OPTION-USRACEETHNICITY-TAXONOMY: USRACEETHNICITY-6CLASSES for two additional classes, AI_AN (American Indian or Alaskan Native) and PI (Pacific Islander).
PersonalApi us_race_ethnicity_batch
POST /api2/json/usRaceEthnicityBatch
[USES 10 UNITS PER NAME] Infer up-to 100 US resident's likely race/ethnicity according to US Census taxonomy. Output is W_NL (white, non latino), HL (hispano latino), A (asian, non latino), B_NL (black, non latino). Optionally add header X-OPTION-USRACEETHNICITY-TAXONOMY: USRACEETHNICITY-6CLASSES for two additional classes, AI_AN (American Indian or Alaskan Native) and PI (Pacific Islander).
PersonalApi us_race_ethnicity_full
GET /api2/json/usRaceEthnicityFull/{personalNameFull}
[USES 10 UNITS PER NAME] Infer a US resident's likely race/ethnicity according to US Census taxonomy W_NL (white, non latino), HL (hispano latino), A (asian, non latino), B_NL (black, non latino). Optionally add header X-OPTION-USRACEETHNICITY-TAXONOMY: USRACEETHNICITY-6CLASSES for two additional classes, AI_AN (American Indian or Alaskan Native) and PI (Pacific Islander).
PersonalApi us_race_ethnicity_full_batch
POST /api2/json/usRaceEthnicityFullBatch
[USES 10 UNITS PER NAME] Infer up-to 100 US resident's likely race/ethnicity according to US Census taxonomy. Output is W_NL (white, non latino), HL (hispano latino), A (asian, non latino), B_NL (black, non latino). Optionally add header X-OPTION-USRACEETHNICITY-TAXONOMY: USRACEETHNICITY-6CLASSES for two additional classes, AI_AN (American Indian or Alaskan Native) and PI (Pacific Islander).
PersonalApi us_race_ethnicity_z_i_p5
GET /api2/json/usRaceEthnicityZIP5/{firstName}/{lastName}/{zip5Code}
[USES 10 UNITS PER NAME] Infer a US resident's likely race/ethnicity according to US Census taxonomy, using (optional) ZIP5 code info. Output is W_NL (white, non latino), HL (hispano latino), A (asian, non latino), B_NL (black, non latino). Optionally add header X-OPTION-USRACEETHNICITY-TAXONOMY: USRACEETHNICITY-6CLASSES for two additional classes, AI_AN (American Indian or Alaskan Native) and PI (Pacific Islander).
PersonalApi us_zip_race_ethnicity_batch
POST /api2/json/usZipRaceEthnicityBatch
[USES 10 UNITS PER NAME] Infer up-to 100 US resident's likely race/ethnicity according to US Census taxonomy, with (optional) ZIP code. Output is W_NL (white, non latino), HL (hispano latino), A (asian, non latino), B_NL (black, non latino). Optionally add header X-OPTION-USRACEETHNICITY-TAXONOMY: USRACEETHNICITY-6CLASSES for two additional classes, AI_AN (American Indian or Alaskan Native) and PI (Pacific Islander).
SocialApi phone_code
GET /api2/json/phoneCode/{firstName}/{lastName}/{phoneNumber}
[USES 11 UNITS PER NAME] Infer the likely country and phone prefix, given a personal name and formatted / unformatted phone number.
SocialApi phone_code_batch
POST /api2/json/phoneCodeBatch
[USES 11 UNITS PER NAME] Infer the likely country and phone prefix, of up to 100 personal names, detecting automatically the local context given a name and formatted / unformatted phone number.
SocialApi phone_code_geo
GET /api2/json/phoneCodeGeo/{firstName}/{lastName}/{phoneNumber}/{countryIso2}
[USES 11 UNITS PER NAME] Infer the likely phone prefix, given a personal name and formatted / unformatted phone number, with a local context (ISO2 country of residence).
SocialApi phone_code_geo_batch
POST /api2/json/phoneCodeGeoBatch
[USES 11 UNITS PER NAME] Infer the likely country and phone prefix, of up to 100 personal names, with a local context (ISO2 country of residence).
SocialApi phone_code_geo_feedback_loop
GET /api2/json/phoneCodeGeoFeedbackLoop/{firstName}/{lastName}/{phoneNumber}/{phoneNumberE164}/{countryIso2}
[CREDITS 1 UNIT] Feedback loop to better infer the likely phone prefix, given a personal name and formatted / unformatted phone number, with a local context (ISO2 country of residence).

Models

Authorization

Authentication schemes defined for the API:

api_key

  • Type: API key

Example

    using OpenAPI
    using OpenAPI.Clients
    import OpenAPI.Clients: Client
    client = Client(server_uri)
    api = MyApi(client)
    result = callApi(api, args...; api_key)

Author

contact@namsor.com

Required Packages

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Used By Packages

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