NamSor API v2

OpenAPI apis-guru text

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!

Homepage: https://api.apis.guru/v2/specs/namsor.com/2.0.24.json
Provider: namsor.com
OpenAPI version: 3.0.1
Spec (JSON): https://api.apis.guru/v2/specs/namsor.com/2.0.24/openapi.json
Spec (YAML): https://api.apis.guru/v2/specs/namsor.com/2.0.24/openapi.yaml

Tools (86)

Extracted live via the executor SDK.

admin.anonymize

Activate/deactivate anonymization for a source.
admin.apiKeyInfo

Read API Key info.
admin.apiStatus

Prints the current status of the classifiers. A classifier name in apiStatus corresponds to a service name in apiServices.
admin.apiUsage

Print current API usage.
admin.apiUsageHistory

Print historical API usage.
admin.apiUsageHistoryAggregate

Print historical API usage (in an aggregated view, by service, by day/hour/min).
admin.availableServices

List of classification services and usage cost in Units per classification (default is 1=ONE Unit). Some API endpoints (ex. Corridor) combine multiple classifiers.
admin.learnable

Activate/deactivate learning from a source.
admin.regions

Print basic source statistics.
admin.softwareVersion

Get the current software version
admin.taxonomyClasses

Print the taxonomy classes valid for the given classifier.
chinese.chineseNameCandidates

Identify Chinese name candidates, based on the romanized name ex. Wang Xiaoming
chinese.chineseNameCandidatesBatch

Identify Chinese name candidates, based on the romanized name (firstName = chineseGivenName; lastName=chineseSurname), ex. Wang Xiaoming
chinese.chineseNameCandidatesGenderBatch

Identify Chinese name candidates, based on the romanized name (firstName = chineseGivenName; lastName=chineseSurname) ex. Wang Xiaoming.
chinese.chineseNameGenderCandidates

Identify Chinese name candidates, based on the romanized name ex. Wang Xiaoming - having a known gender ('male' or 'female')
chinese.chineseNameMatch

Return a score for matching Chinese name ex. 王晓明 with a romanized name ex. Wang Xiaoming
chinese.chineseNameMatchBatch

Identify Chinese name candidates, based on the romanized name (firstName = chineseGivenName; lastName=chineseSurname), ex. Wang Xiaoming
chinese.genderChineseName

Infer the likely gender of a Chinese full name ex. 王晓明
chinese.genderChineseNameBatch

Infer the likely gender of up to 100 full names ex. 王晓明
chinese.genderChineseNamePinyin

Infer the likely gender of a Chinese name in LATIN (Pinyin).
chinese.genderChineseNamePinyinBatch

Infer the likely gender of up to 100 Chinese names in LATIN (Pinyin).
chinese.parseChineseName

Infer the likely first/last name structure of a name, ex. 王晓明 -> 王(surname) 晓明(given name)
chinese.parseChineseNameBatch

Infer the likely first/last name structure of a name, ex. 王晓明 -> 王(surname) 晓明(given name).
chinese.pinyinChineseName

Romanize the Chinese name to Pinyin, ex. 王晓明 -> Wang (surname) Xiaoming (given name)
chinese.pinyinChineseNameBatch

Romanize a list of Chinese name to Pinyin, ex. 王晓明 -> Wang (surname) Xiaoming (given name).
general.nameType

Infer the likely type of a proper noun (personal name, brand name, place name etc.)
general.nameTypeBatch

Infer the likely common type of up to 100 proper nouns (personal name, brand name, place name etc.)
general.nameTypeGeo

Infer the likely type of a proper noun (personal name, brand name, place name etc.)
general.nameTypeGeoBatch

Infer the likely common type of up to 100 proper nouns (personal name, brand name, place name etc.)
indian.castegroupIndianFull

[USES 10 UNITS PER NAME] Infer the likely Indian name castegroup of a personal full name.
indian.castegroupIndianFullBatch

[USES 10 UNITS PER NAME] Infer the likely Indian name castegroup of up to 100 personal full names.
indian.religion

[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).
indian.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).
indian.subclassificationIndian

[USES 10 UNITS PER NAME] Infer the likely Indian state of Union territory according to ISO 3166-2:IN based on the name.
indian.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.
japanese.genderJapaneseNameFull

Infer the likely gender of a Japanese full name ex. 王晓明
japanese.genderJapaneseNameFullBatch

Infer the likely gender of up to 100 full names
japanese.genderJapaneseNamePinyin

Infer the likely gender of a Japanese name in LATIN (Pinyin).
japanese.genderJapaneseNamePinyinBatch

Infer the likely gender of up to 100 Japanese names in LATIN (Pinyin).
japanese.japaneseNameGenderKanjiCandidatesBatch

Identify japanese name candidates in KANJI, based on the romanized name (firstName = japaneseGivenName; lastName=japaneseSurname) with KNOWN gender, ex. Yamamoto Sanae
japanese.japaneseNameKanjiCandidates

Identify japanese name candidates in KANJI, based on the romanized name ex. Yamamoto Sanae
japanese.japaneseNameKanjiCandidates1

Identify japanese name candidates in KANJI, based on the romanized name ex. Yamamoto Sanae - and a known gender.
japanese.japaneseNameKanjiCandidatesBatch

Identify japanese name candidates in KANJI, based on the romanized name (firstName = japaneseGivenName; lastName=japaneseSurname), ex. Yamamoto Sanae
japanese.japaneseNameLatinCandidates

Romanize japanese name, based on the name in Kanji.
japanese.japaneseNameLatinCandidatesBatch

Romanize japanese names, based on the name in KANJI
japanese.japaneseNameMatch

Return a score for matching Japanese name in KANJI ex. 山本早苗 with a romanized name ex. Yamamoto Sanae
japanese.japaneseNameMatchBatch

Return a score for matching a list of Japanese names in KANJI ex. 山本早苗 with romanized names ex. Yamamoto Sanae
japanese.japaneseNameMatchFeedbackLoop

[CREDITS 1 UNIT] Feedback loop to better perform matching Japanese name in KANJI ex. 山本早苗 with a romanized name ex. Yamamoto Sanae
japanese.parseJapaneseName

Infer the likely first/last name structure of a name, ex. 山本早苗 or Yamamoto Sanae
japanese.parseJapaneseNameBatch

Infer the likely first/last name structure of a name, ex. 山本早苗 or Yamamoto Sanae
personal.corridor

[USES 20 UNITS PER NAME COUPLE] Infer several classifications for a cross border interaction between names (ex. remit, travel, intl com)
personal.corridorBatch

[USES 20 UNITS PER NAME PAIR] Infer several classifications for up to 100 cross border interaction between names (ex. remit, travel, intl com)
personal.country

[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.
personal.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.
personal.diaspora

[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.)
personal.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.)
personal.gender

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.
personal.gender1

Infer the likely gender of a name.
personal.genderBatch

Infer the likely gender of up to 100 names, detecting automatically the cultural context.
personal.genderFull

Infer the likely gender of a full name, ex. John H. Smith
personal.genderFullBatch

Infer the likely gender of up to 100 full names, detecting automatically the cultural context.
personal.genderFullGeo

Infer the likely gender of a full name, given a local context (ISO2 country code).
personal.genderFullGeoBatch

Infer the likely gender of up to 100 full names, with a given cultural context (country ISO2 code).
personal.genderGeo

Infer the likely gender of a name, given a local context (ISO2 country code).
personal.genderGeoBatch

Infer the likely gender of up to 100 names, each given a local context (ISO2 country code).
personal.origin

[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.
personal.originBatch

[USES 10 UNITS PER NAME] Infer the likely country of origin of up to 100 names, detecting automatically the cultural context.
personal.parseName

Infer the likely first/last name structure of a name, ex. John Smith or SMITH, John or SMITH; John.
personal.parseNameBatch

Infer the likely first/last name structure of a name, ex. John Smith or SMITH, John or SMITH; John.
personal.parseNameGeo

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.
personal.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.
personal.religionFull

[USES 10 UNITS PER NAME] Infer the likely religion of a personal full name. NB: only for INDIA (as of current version).
personal.religionFullBatch

[USES 10 UNITS PER NAME] Infer the likely religion of up to 100 personal full names. NB: only for India as of currently.
personal.subclassification

[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').
personal.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').
personal.usRaceEthnicity

[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).
personal.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).
personal.usRaceEthnicityZiP5

[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).
personal.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).
social.phoneCode

[USES 11 UNITS PER NAME] Infer the likely country and phone prefix, given a personal name and formatted / unformatted phone number.
social.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.
social.phoneCodeGeo

[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).
social.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).
social.phoneCodeGeoFeedbackLoop

[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).
openapi.previewSpec

Preview an OpenAPI document before adding it as a source
openapi.addSource

Add an OpenAPI source and register its operations as tools