{"info":{"_postman_id":"fc270311-a02c-4ac0-aa62-b60ef3d5fc52","name":"IDREG TECH","schema":"https://schema.getpostman.com/json/collection/v2.0.0/collection.json"},"item":[{"name":"OVERVIEW","item":[],"id":"d53201d0-1a0b-47fc-86e0-dbfa384a7bfd","description":"
    \n\t
  1. Perform a query using the available methods in IDREG.TECH
    2. \n\t
  2. IDREG.TECH checks if the consult is valid.
    3. \n\t
  3. If the request is valid, IDREG.TECH responds with 200 HTTP status and returns the JSON data.
    4. \n\t
  4. If the request is not valid, IDREG.TECH returns 422 (or other) error HTTP status and an error message.
    5. \n
\n
\n\n

API Request Limits

\n\n
\n\n\n\t\n\t\t\n\t\t\n\t\t\n\t\n\t\n\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\n\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\n\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\n\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\n\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\n\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\n\t\n
Environment Endpoint Rate Limit
LiveFACE MATCHxxx / month
LiveOCRxxx / month
LiveID PLUSxxx / month
LiveID MAXxxx / month
LiveFACE VIDEOxxx / month
LiveDMVxxx / month
\n\n

API returns 429 HTTP error if limit is exceeded.

\n\n
\n\n

API authentication

\n
\n

All IDREG.TECH API calls require authentication. You can authenticate your app by providing 3 parameters: API Key, Operation and HMAC.

\n\n\n\n
\n\n

Errors

\n
\n

Most common API error responses described below. Error response must be identified by HTTP status and reason attribute in your application.

\n

\n\n\t\n\t\t\n\t\t\n\t\t\n\t\n\t\n\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\n\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\n\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\n\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\n\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\n\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\n\t\t\n\t\t\t \n\t\t\t\n\t\t\t\n\t\t\n\t\t\n\t\t\t\n\t\t\t \n\t\t\t\n\t\t\n\t\n
HTTP StatusReasonMessage
401 (Unauthorized)BadCredentialsAPI Credentials is not valid or empty
404 (Not Found)Not foundPage, action or record not found
404 (Not Found)Results not foundResults not found
422 (Unauthorized)Illegal ConditionsParameters not valid
423 (Unauthorized)Illegal ConditionsError on uploading file
425 (Unauthorized)Illegal ConditionsInvalid file extension
429 (Too Many Requests)Rate Limit ExceptionAPI request limit is exceeded
500 (Internal Server Error)InternalServerErrorSomething wrong in IDREG.TECH
\n
\n
\n

Response example:

\n
\n
{
  \"message\": \"Parameters empty\",
  \"reason\": \"Illegal Conditions\"
}
","event":[{"listen":"prerequest","script":{"id":"b5878c3b-0cb3-46d9-bf03-b8084857207e","type":"text/javascript","exec":[""]}},{"listen":"test","script":{"id":"fba1486e-5eef-442b-b0f5-e13997d4494d","type":"text/javascript","exec":[""]}}],"_postman_id":"d53201d0-1a0b-47fc-86e0-dbfa384a7bfd"},{"name":"FACE MATCH","id":"dc31c3c6-5ff4-4ce4-a65a-79c4be147cc9","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"method":"POST","header":[{"key":"authorization","type":"text","value":"{{keyFaceMatch}}"},{"key":"Content-Type","name":"Content-Type","type":"text","value":"application/x-www-form-urlencoded"}],"body":{"mode":"urlencoded","urlencoded":[{"description":"Number ID","key":"order_id","type":"text","value":""},{"description":"Base64 Image","key":"file_a","type":"text","value":""},{"description":"Base64 Image","key":"file_b","type":"text","value":""}]},"url":"{{baseURL}}/facematch","description":"With the Face Match method, you compare two faces.\n\nIn the request response, we return some attributes identified in the image reading, such as:\n  - Eyes (left / right)\n  - Mouth\n  - Nose\n\nWe also identified parameters such as image quality (brightness / sharpness)\n\nYou find the similarity value between the images in percent.\n\nNote: We advise you to use 50% + as the approval parameter.\n\nIn the answer, you also find faces that have not been identified any kind of similarity.\n\nThe base 64 encoded image to be sent must have a maximum size of 300KB and a maximum size of 1000x1000"},"response":[{"id":"82d128ab-f04a-4cd1-a029-9b7357908a81","name":"FACEMATCH","originalRequest":{"method":"POST","header":[{"key":"authorization","value":"{{keyFaceMatch}}","type":"text"},{"key":"Content-Type","name":"Content-Type","value":"application/x-www-form-urlencoded","type":"text"}],"body":{"mode":"urlencoded","urlencoded":[{"key":"order_id","value":"","description":"Number ID (string)","type":"text"},{"key":"file_a","value":"","description":"Base64 Image","type":"text"},{"description":"Base64 Image","key":"file_b","type":"text","value":""}]},"url":"https://ffjzysu4re.execute-api.us-east-2.amazonaws.com/idregtech/facematch/"},"_postman_previewlanguage":"json","header":null,"cookie":[],"responseTime":null,"body":"{\n \"SourceImageFace\": {\n \"BoundingBox\": {\n \"Width\": 0.3166901171207428,\n \"Height\": 0.6660830974578857,\n \"Left\": 0.5430594682693481,\n \"Top\": 0.11692443490028381\n },\n \"Confidence\": 100\n },\n \"FaceMatches\": [\n {\n \"Similarity\": 99.91600799560547,\n \"Face\": {\n \"BoundingBox\": {\n \"Width\": 0.09658635407686234,\n \"Height\": 0.08798333257436752,\n \"Left\": 0.5922325253486633,\n \"Top\": 0.21591956913471222\n },\n \"Confidence\": 99.9999771118164,\n \"Landmarks\": [\n {\n \"Type\": \"eyeLeft\",\n \"X\": 0.6198842525482178,\n \"Y\": 0.25268226861953735\n },\n {\n \"Type\": \"eyeRight\",\n \"X\": 0.6610067486763,\n \"Y\": 0.25628864765167236\n },\n {\n \"Type\": \"mouthLeft\",\n \"X\": 0.6195057034492493,\n \"Y\": 0.28139644861221313\n },\n {\n \"Type\": \"mouthRight\",\n \"X\": 0.6536197662353516,\n \"Y\": 0.28457269072532654\n },\n {\n \"Type\": \"nose\",\n \"X\": 0.6329544186592102,\n \"Y\": 0.2708250880241394\n }\n ],\n \"Pose\": {\n \"Roll\": 8.15805435180664,\n \"Yaw\": -16.283355712890625,\n \"Pitch\": -23.162683486938477\n },\n \"Quality\": {\n \"Brightness\": 58.63637161254883,\n \"Sharpness\": 95.51618957519531\n }\n }\n },\n {\n \"Similarity\": 44.27447509765625,\n \"Face\": {\n \"BoundingBox\": {\n \"Width\": 0.0878496840596199,\n \"Height\": 0.07854912430047989,\n \"Left\": 0.4746614098548889,\n \"Top\": 0.15300703048706055\n },\n \"Confidence\": 99.99996185302734,\n \"Landmarks\": [\n {\n \"Type\": \"eyeLeft\",\n \"X\": 0.4985823929309845,\n \"Y\": 0.19460760056972504\n },\n {\n \"Type\": \"eyeRight\",\n \"X\": 0.5327526330947876,\n \"Y\": 0.1819363683462143\n },\n {\n \"Type\": \"mouthLeft\",\n \"X\": 0.5172568559646606,\n \"Y\": 0.2172270119190216\n },\n {\n \"Type\": \"mouthRight\",\n \"X\": 0.5454737544059753,\n \"Y\": 0.20664973556995392\n },\n {\n \"Type\": \"nose\",\n \"X\": 0.5179694890975952,\n \"Y\": 0.1983180195093155\n }\n ],\n \"Pose\": {\n \"Roll\": -31.059595108032227,\n \"Yaw\": -12.336857795715332,\n \"Pitch\": 12.62158203125\n },\n \"Quality\": {\n \"Brightness\": 78.9569320678711,\n \"Sharpness\": 83.14741516113281\n }\n }\n },\n {\n \"Similarity\": 24.360395431518555,\n \"Face\": {\n \"BoundingBox\": {\n \"Width\": 0.08770085871219635,\n \"Height\": 0.08353586494922638,\n \"Left\": 0.3523949086666107,\n \"Top\": 0.1803983896970749\n },\n \"Confidence\": 99.99989318847656,\n \"Landmarks\": [\n {\n \"Type\": \"eyeLeft\",\n \"X\": 0.38080722093582153,\n \"Y\": 0.2164805382490158\n },\n {\n \"Type\": \"eyeRight\",\n \"X\": 0.42222779989242554,\n \"Y\": 0.21474921703338623\n },\n {\n \"Type\": \"mouthLeft\",\n \"X\": 0.386566162109375,\n \"Y\": 0.24466440081596375\n },\n {\n \"Type\": \"mouthRight\",\n \"X\": 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the OCR method we guarantee up to 98% extraction of document information.\n\nThe answer is simple and practical, see the link below, the list of documents and fields that we return.\n\n[https://www/idreg.tech/list-documents-and-fields](https://www.idreg.tech/wp-content/uploads/2019/10/list-of-documents-and-fields-that-can-be-extracted-en.pdf)\n\nThe base 64 encoded image to be sent must have a maximum size of 300KB and a maximum size of 1000x1000\n\n

Example:

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cnhcnhcat_hab
cnhcnhcpf
cnhcnhdata_emissao
cnhcnhdata_nascimento
cnhcnhdata_primeira_habilitacao
cnhcnhdata_validade
cnhcnhestado_emissor
cnhcnhlocal_cidade
cnhcnhlocal_uf
cnhcnhnome
cnhcnhnome_pai
cnhcnhnome_mae
cnhcnhorgao_emissor
cnhcnhregistro
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"},"response":[{"id":"f40c92bc-4c58-4dca-8668-8d0223a9a5c2","name":"OCR","originalRequest":{"method":"POST","header":[{"key":"authorization","type":"text","value":"{{keyOcr}}"},{"key":"Content-Type","name":"Content-Type","type":"text","value":"application/x-www-form-urlencoded"}],"body":{"mode":"urlencoded","urlencoded":[{"description":"Number ID","key":"order_id","type":"text","value":""},{"description":"Base64 Image","key":"file","type":"text","value":""}]},"url":"https://ffjzysu4re.execute-api.us-east-2.amazonaws.com/idreg_homolog/ocr"},"_postman_previewlanguage":null,"header":null,"cookie":[],"responseTime":null,"body":"{\n \"order_id\": \"85695425\",\n \"date_request\": \"2019-09-04 18:31:04\",\n \"result\": [\n {\n \"fields\": [\n {\n \"name\": \"data_expedicao\",\n \"value\": \"29/03/2011\",\n \"score\": 0.87\n },\n {\n \"name\": \"data_nascimento\",\n \"value\": \"08/03/1976\",\n \"score\": 0.88\n },\n {\n \"name\": \"doc_origem\",\n \"value\": \"CERTIDÃO DE NASCIMENTO, LIVRO: A.393, FOLHA: 147\",\n \"score\": 0.92\n },\n {\n \"name\": \"filiacao\",\n \"value\": \"ERNANI ROCHA OLIVETTE SONIA MARIA ROCHA OLIVETTE\",\n \"score\": 0.87\n },\n {\n \"name\": \"doc_origem_folha\",\n \"value\": \"147\",\n \"score\": 0.92\n },\n {\n \"name\": \"nome\",\n \"value\": \"GRACE ROCHA OLIVETTE\",\n \"score\": 0.87\n },\n {\n \"name\": \"nome_mae\",\n \"value\": \"SONIA MARIA ROCHA OLIVETTE\",\n \"score\": 0.87\n },\n {\n \"name\": \"nome_pai\",\n \"value\": \"ERNANI ROCHA OLIVETTE\",\n \"score\": 0.87\n },\n {\n \"name\": \"cpf\",\n \"value\": \"01692292978\",\n \"score\": 0.83\n },\n {\n \"name\": \"rg\",\n \"value\": \"70278090\",\n \"score\": 0.81\n },\n {\n \"name\": \"naturalidade_cidade\",\n \"value\": \"CURITIBA\",\n \"score\": 0.73\n },\n {\n \"name\": \"naturalidade_uf\",\n \"value\": \"PR\",\n \"score\": 0.73\n },\n {\n \"name\": \"doc_origem_livro\",\n \"value\": \"A.393\",\n \"score\": 0.92\n },\n {\n \"name\": \"doc_origem_tipo\",\n \"value\": \"CERTIDÃO DE NASCIMENTO\",\n \"score\": 0.92\n }\n ],\n \"deskewImage\": \"\",\n \"docQuality\": \"bom\",\n \"docQualityScore\": 0.5,\n \"docType\": \"rg_verso\",\n \"tables\": null,\n \"tags\": [\n \"rg_verso\"\n ]\n }\n ],\n \"queryId\": \"0HLPFSFHMP2EC00000045\",\n \"elapsedMilliseconds\": 1801,\n \"status\": {\n \"code\": 200,\n \"message\": \"Ok\"\n }\n}"}],"_postman_id":"e7d91394-323e-4542-9b3f-a0bf35c8e291"},{"name":"ID MAX","id":"f3844bfe-2d45-463d-ac7e-dcea34772ecf","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"method":"POST","header":[{"key":"authorization","type":"text","value":"{{keyIdMax}}"},{"key":"Content-Type","name":"Content-Type","type":"text","value":"application/x-www-form-urlencoded"}],"body":{"mode":"urlencoded","urlencoded":[{"description":"Number ID (string)","key":"order_id","type":"text","value":"321654992"},{"description":"Number Document (CPF)","key":"document","type":"text","value":"08774047639"}]},"url":"{{baseURL}}/max","description":"Validation of dozens of information by crossing against government and private entities reference bases. Confirm emails, document status, death records, and more.\n\nVerification of similarity between reported data and query data. Take it insists, such as complete address, for example.\n\n#### Fields description\n| Field Name | Description \t\t\t\t\t\t\t\t|\n|-------------------------------|-----------------------------------------------------------------------------------------------|\n| Typology | Type of place (Street, Avenue, Circle, etc.) \t\t\t\t\t\t\t|\n| Title | Titles present in the address (i.e King, Our Lady, Prince, Doctor) \t\t\t\t\t\t\t|\n| AddressMain | Core name of the address\t\t\t\t\t\t\t\t\t \t\t\t\t\t\t\t\t|\n| Number | Street number of the address \t\t\t\t\t\t\t\t|\n| Complement | Complement \t\t\t\t\t\t\t\t|\n| Neighborhood | Neighborhood \t\t\t\t\t\t\t\t|\n| City | City \t \t\t\t\t\t\t\t\t|\n| State | State \t \t\t\t\t\t\t\t\t|\n| Country | Country \t\t\t\t\t\t\t\t|\n| ZipCode | Zipcode \t\t\t\t\t\t\t\t|\n| Type | Inferred address type (HOME, WORK or OFFICIAL REGISTRATION) |\n| HouseholdCode | *household* code for the address \t\t\t\t\t\t\t\t|\n| BuildingCode | *building* code for the address\t \t\t\t\t\t\t\t\t|\n| HouseholdTotalPassages | Number of times this household code was seen for this entity \t\t\t\t\t\t\t\t\t|\n| HouseholdBadPassages | Number of times this household code was seen for this entity in a suspicious situation\t\t|\n| HouseholdCrawlingPassages | Number of times this household code was seen for this entity in a capture or crawling process |\n| HouseholdValidationPassages | Number of times this household code was seen for this entity in a id validation process |\n| HouseholdQueryPassages | Number of times this household code was seen for this entity in a query \t\t|\n| HouseholdMonthAveragePassages | Average number of times the household was seen with the entity per month |\n| HouseholdNumberOfEntities | Number of different entities associated with this household |\n| BuildingTotalPassages | Number of times this building code was seen for this entity |\n| BuildingBadPassages | Number of times this building code was seen for this entity in a suspicious situation |\n| BuildingCrawlingPassages | Number of times this building code was seen for this entity in a capture or crawling process |\n| BuildingValidationPassages | Number of times this building code was seen for this entity in a id validation process |\n| BuildingQueryPassages | Number of times this building code was seen for this entity in a query |\n| BuildingMonthAveragePassages | Average number of times the building was seen with the entity per month |\n| BuildingNumberOfHouseholds | Number of distinct households associated with this building |\n| IsMain | Flag indicating if this is the entity's main address |\n| IsRecent | Flag indicating if this is a recent address for this entity \t\t\t\t\t\t\t\t\t|\n| IsActive | Flag indicating if this address is active for this entity\t\t\t\t\t\t\t\t\t\t|\n| IsRatified | Flag indicating if this address was validated against official sources (DNE or similar) |\n| FirstPassageDate | Date when this household was first seen for this entity |\n| LastPassageDate | Date when this household was last seen for this entity |\n| HasOptIn | Flag indicating if there was explicit opt-in by this address in our database |\n| AdditionalOutputData | List with additional data about the address, such as the IBGE Code for the city |\n| Priority | Priority level of this address for this person. Lower is better. |\n| Latitude | Latitude |\n| Longitude | Longitude |\n| CreationDate | Date when the record was created |\n| LastUpdateDate | Date when the record was last updated |\n| Typology | Type of place (Street, Avenue, Circle, etc.) \t\t\t\t\t\t\t |\n| Title | Titles present in the address (i.e King, Our Lady, Prince, Doctor) \t\t\t\t\t\t\t |\n| AddressMain | Core name of the address\t\t\t\t\t\t\t\t\t \t\t\t\t\t\t\t\t |\n| Number | Street number of the address \t\t\t\t\t\t\t\t |\n| Complement | Complement \t\t\t\t\t\t\t\t |\n| Neighborhood | Neighborhood \t\t\t\t\t\t\t\t |\n| City | City \t \t\t\t\t\t\t\t\t |\n| State | State \t \t\t\t\t\t\t\t\t |\n| Country | Country \t\t\t\t\t\t\t\t |\n| ZipCode | Zipcode \t\t\t\t\t\t\t\t |\n| Type | Inferred address type (HOME or WORK). Will also include the type of relationship with the entity |\n| HouseholdCode | *household* code for the address \t\t\t\t\t\t\t\t |\n| BuildingCode | *building* code for the address\t \t\t\t\t\t\t\t\t |\n| HouseholdTotalPassages | Number of times this household code was seen for this entity \t\t\t\t\t\t\t\t\t |\n| HouseholdBadPassages | Number of times this household code was seen for this entity in a suspicious situation\t\t |\n| HouseholdCrawlingPassages | Number of times this household code was seen for this entity in a capture or crawling process |\n| HouseholdValidationPassages | Number of times this household code was seen for this entity in a id validation process |\n| HouseholdQueryPassages | Number of times this household code was seen for this entity in a query \t\t |\n| HouseholdMonthAveragePassages | Average number of times the household was seen with the entity per month |\n| HouseholdNumberOfEntities | Number of different entities associated with this household |\n| BuildingTotalPassages | Number of times this building code was seen for this entity |\n| BuildingBadPassages | Number of times this building code was seen for this entity in a suspicious situation |\n| BuildingCrawlingPassages | Number of times this building code was seen for this entity in a capture or crawling process |\n| BuildingValidationPassages | Number of times this building code was seen for this entity in a id validation process |\n| BuildingQueryPassages | Number of times this building code was seen for this entity in a query |\n| BuildingMonthAveragePassages | Average number of times the building was seen with the entity per month |\n| BuildingNumberOfHouseholds | Number of distinct households associated with this building |\n| IsMain | Flag indicating if this is the entity's main address |\n| IsRecent | Flag indicating if this is a recent address for this entity \t\t\t\t\t\t\t\t\t |\n| IsActive | Flag indicating if this address is active for this entity\t\t\t\t\t\t\t\t\t\t |\n| IsRatified | Flag indicating if this address was validated against official sources (DNE or similar) |\n| FirstPassageDate | Date when this household was first seen for this entity |\n| LastPassageDate | Date when this household was last seen for this entity |\n| HasOptIn | Flag indicating if there was explicit opt-in by this address in our database |\n| AdditionalOutputData | List with additional data about the address, such as the IBGE Code for the city |\n| Priority | Priority level of this address for this entity. Lower is better. |\n| Latitude | Latitude |\n| Longitude | Longitude |\n| CreationDate | Date when the record was created |\n| LastUpdateDate | Date when the record was last updated |\n| TaxIdNumber | Taxpayer identification number |\n| TaxIdCountry | Taxpayer identification number country of reference |\n| AlternativeIdNumbers\t\t\t\t\t\t| Alternative identification numbers. A dictionary with key/value pairs of alternative document numbers, which may or may not be filled out. The most common ones may be found below | \n| AlternativeIdNumbers.VoterId | Voter identification number |\n| AlternativeIdNumbers.SocialSecurityNumber | PIS/NIT (worker social security) number |\n| AlternativeIdNumbers.RG\t\t\t\t\t| RG (national identity card) number |\n| AlternativeIdNumbers.CNH\t\t\t\t\t| Driver's license number |\n| Name | Person's name |\n| Aliases\t\t\t\t\t\t\t\t\t| The *Aliases* field is a dictionary with with key/value pairs with different \"aliases\" for the person. The most common keys are described below | \n| Aliases.CommonName | Common name \t\t\t\t\t\t\t\t\t\t\t\t |\n| Aliases.StandardizedName | Standardized name \t\t\t\t\t\t\t\t\t\t\t |\n| Aliases.SocialName | Social name \t\t\t\t\t\t\t\t\t\t\t \t |\n| Gender | Person's gender, calculated from the name |\n| NameWordCount | Number of \"tokens\" (words) on the person's name |\n| InputNameMatchPercentage | If an input name is provided (*see below*), it contains what is the match percentage between the input name and the person's official name |\n| NameUniquenessScore | A numeric value ranging from 0 to 1, describing how unique is the person's full name compared to others |\n| FirstNameUniquenessScore\t\t\t\t\t| A numeric value ranging from 0 to 1, describing how unique is the person's first name compared to others |\n| FirstAndLastNameUniquenessScore\t\t\t| A numeric value ranging from 0 to 1, describing how unique is the person's first and last name compared to others |\n| BirthDate | Date of birth |\n| Age | Age, in years, calculated from the date of birth |\n| ZodiacSign | Zodiac sign |\n| ChineseSign | Chinese zodiac sign |\n| BirthCountry | Country of birth |\n| BirthState | State in which the person was born |\n| MotherName | Name of the person's mother |\n| FatherName | Name of the person's father |\n| TaxIdStatus | Tax Id status with Receita Federal |\n| TaxIdOrigin | Origin of the tax id status |\n| HasObitIndication | Flag indicating if there is a record of the person being deceased (obit) |\n| ObitIndicationOrigin | Obit indicator source of origin |\n| ObitIndicationYear | Year of the obit indicator |\n| TaxIdStatusDate\t\t\t\t\t\t\t| Date when the tax id status was last updated |\n| CreationDate | Date when the record was created |\n| LastUpdateDate | Date when the record was last updated |\n| relationshiptype\t\t | Relationship type description | Equal\t | employment, partner, ownership |\n| relationshiplevel\t\t | Relationship level | Equal\t | Direto, Indireto, etc |\n| relatedentitytaxidtype | Document type of the tax id number of the related entity | Equal\t | CPF, CNPJ\t\t\t\t\t |\n| CircleType\t\t\t | Type of circle |\n| TotalEntities \t\t | Total number of people in the circle |\n| TotalDistinctAddresses | Total number of distinct addresses in circle for all entities in circle |\n| TotalDistinctPhones\t | Total number of distinct phone numbers for all entities in circle |\n| TotalDistinctEmails\t | Total number of distinct e-mail addresses for all entities in circle |\n| TotalEmployedEntities | Total number of people in the circle who are currently employed |\n| TotalCompaniesOwned\t | Total number of companies owned by all the people in the circle |\n| TotalRelatedEntities | Total number of entities related to all the people in the circle |\n| TotalPEPs \t\t\t | Total number of people in the circle who are Politically Exposed Persons (PEPs) |\n| TotalPublicServants\t | Total number of people in the circle who are public servants |\n| TotalClassMembers\t\t | Total number of people in the circle who are registered with a professional class organization |\n| TotalLivingPeople\t\t\t | Total number of people in the circle who are currently alive |\n| TotalDeceasedPeople\t\t | Total number of people in the circle who are deceased |\n| MinAge\t\t\t\t | The age of the yougest person in the circle |\n| MaxAge\t\t\t\t | The age of the oldest person in the circle |\n| AvgAge\t\t\t\t | Average age of all people in the circle |\n| MinNameUniqueness\t\t\t | The lowest name uniqueness level for all the people in the circle |\n| MaxNameUniqueness\t\t | The highest name uniqueness level for all the people in the circle |\n| AvgNameUniqueness | The average name uniqueness level for all the people in the circle |\n| CircleTotalIncomeRange | The sum of all income ranges of all people in the circle |\n| EntitiesAvgIncomeRange | The average income range of all the people in the circle |\n| EntitiesMinIncomeRange | The lowest income range of all the people in the circle |\n| EntitiesMaxIncomeRange | The highest income range of all the people in the circle |\n| MinEducationLevel | The lowest level of education of all the people in the circle |\n| AvgEducationLevel \t | The average level of education of all the people in the circle |\n| MaxEducationLevel \t | The highest level of education of all the people in the circle |\n| AvgGeographicDistance | The average geographic distance between all people in the circle |\n| MaxGeographicDistance | The maximum geographic distance between any two people in the circle |\n| MinGeographicDistance | The minimum geographic distance between any two people in the circle |\n| TotalEShopperLevel\t | The aggregated e-shopper level for all people in the circle |\n| MaxEShopperLevel \t | The highest e-shopper level for all people in the circle |\n| MinEShopperLevel \t | The lowest e-shopper level for all people in the circle |\n| TotalESellerLevel \t | The aggregated e-seller level for all people in the circle |\n| MaxESellerLevel\t\t | The highest e-seller level for all people in the circle |\n| MinESellerLevel\t\t | The lowest e-seller level for all people in the circle |\n| TotalLawsuits\t\t | Total number of lawsuits for all people in the circle |\n| TotalLawsuitsAsDefendant | Total number of lawsuits for all people in the circle where they are defendants |\n| TotalLawsuitsAsAuthor\t | Total number of lawsuits for all people in the circle where they are authors |\n| TotalPassages\t\t\t | Total number of passages for all people in the circle |\n| TotalBadPassages\t\t | Total number of passages in a suspicious situation for all people in the circle |\n| MonthAveragePassages\t | The average number of passages per month for all people in the circle combined |\n| FirstPassageDate\t\t | Date of the oldest passage for anyone in the circle |\n| LastPassageDate\t\t | Date of the most recent passage for anyone in the circle |\n| GenderDistribution\t | Distribution of people in the circle by gender |\n| AgeRangeDistribution | Distribution of people in the circle by age range |\n| IncomeRangeDistribution\t | Distribution of people in the circle by income range |\n| EducationLevelDistribution | Distribution of people in the circle by education level |\n| StateDistribution \t\t | Distribution of people in the circle by state |\n| EShopperDistribution\t\t | Distribution of people in the circle by e-shopper level |\n| ESellerDistribution\t\t | Distribution of people in the circle by e-seller level |\n| TaxIdStatusDistribution\t | Distribution of people in the circle by tax id status |\n| CircleType\t\t\t | Type of circle |\n| TotalEntities \t\t | Total number of people in the circle |\n| TotalDistinctAddresses | Total number of distinct addresses in circle for all entities in circle |\n| TotalDistinctPhones\t | Total number of distinct phone numbers for all entities in circle |\n| TotalDistinctEmails\t | Total number of distinct e-mail addresses for all entities in circle |\n| TotalEmployedEntities | Total number of people in the circle who are currently employed |\n| TotalCompaniesOwned\t | Total number of companies owned by all the people in the circle |\n| TotalRelatedEntities | Total number of entities related to all the people in the circle |\n| TotalPEPs \t\t\t | Total number of people in the circle who are Politically Exposed Persons (PEPs) |\n| TotalPublicServants\t | Total number of people in the circle who are public servants |\n| TotalClassMembers\t\t | Total number of people in the circle who are registered with a professional class organization |\n| TotalLivingPeople\t\t\t | Total number of people in the circle who are currently alive |\n| TotalDeceasedPeople\t\t | Total number of people in the circle who are deceased |\n| MinAge\t\t\t\t | The age of the yougest person in the circle |\n| MaxAge\t\t\t\t | The age of the oldest person in the circle |\n| AvgAge\t\t\t\t | Average age of all people in the circle |\n| MinNameUniqueness\t\t\t | The lowest name uniqueness level for all the people in the circle |\n| MaxNameUniqueness\t\t | The highest name uniqueness level for all the people in the circle |\n| AvgNameUniqueness | The average name uniqueness level for all the people in the circle |\n| CircleTotalIncomeRange | The sum of all income ranges of all people in the circle |\n| EntitiesAvgIncomeRange | The average income range of all the people in the circle |\n| EntitiesMinIncomeRange | The lowest income range of all the people in the circle |\n| EntitiesMaxIncomeRange | The highest income range of all the people in the circle |\n| MinEducationLevel | The lowest level of education of all the people in the circle |\n| AvgEducationLevel \t | The average level of education of all the people in the circle |\n| MaxEducationLevel \t | The highest level of education of all the people in the circle |\n| AvgGeographicDistance | The average geographic distance between all people in the circle |\n| MaxGeographicDistance | The maximum geographic distance between any two people in the circle |\n| MinGeographicDistance | The minimum geographic distance between any two people in the circle |\n| TotalEShopperLevel\t | The aggregated e-shopper level for all people in the circle |\n| MaxEShopperLevel \t | The highest e-shopper level for all people in the circle |\n| MinEShopperLevel \t | The lowest e-shopper level for all people in the circle |\n| TotalESellerLevel \t | The aggregated e-seller level for all people in the circle |\n| MaxESellerLevel\t\t | The highest e-seller level for all people in the circle |\n| MinESellerLevel\t\t | The lowest e-seller level for all people in the circle |\n| TotalLawsuits\t\t | Total number of lawsuits for all people in the circle |\n| TotalLawsuitsAsDefendant | Total number of lawsuits for all people in the circle where they are defendants |\n| TotalLawsuitsAsAuthor\t | Total number of lawsuits for all people in the circle where they are authors |\n| TotalPassages\t\t\t | Total number of passages for all people in the circle |\n| TotalBadPassages\t\t | Total number of passages in a suspicious situation for all people in the circle |\n| MonthAveragePassages\t | The average number of passages per month for all people in the circle combined |\n| FirstPassageDate\t\t | Date of the oldest passage for anyone in the circle |\n| LastPassageDate\t\t | Date of the most recent passage for anyone in the circle |\n| GenderDistribution\t | Distribution of people in the circle by gender |\n| AgeRangeDistribution | Distribution of people in the circle by age range |\n| IncomeRangeDistribution\t | Distribution of people in the circle by income range |\n| EducationLevelDistribution | Distribution of people in the circle by education level |\n| StateDistribution \t\t | Distribution of people in the circle by state |\n| EShopperDistribution\t\t | Distribution of people in the circle by e-shopper level |\n| ESellerDistribution\t\t | Distribution of people in the circle by e-seller level |\n| TaxIdStatusDistribution\t | Distribution of people in the circle by tax id status |\n| CircleType\t\t\t | Type of circle |\n| TotalEntities \t\t | Total number of people in the circle |\n| TotalDistinctAddresses | Total number of distinct addresses in circle for all entities in circle |\n| TotalDistinctPhones\t | Total number of distinct phone numbers for all entities in circle |\n| TotalDistinctEmails\t | Total number of distinct e-mail addresses for all entities in circle |\n| TotalEmployedEntities | Total number of people in the circle who are currently employed |\n| TotalCompaniesOwned\t | Total number of companies owned by all the people in the circle |\n| TotalRelatedEntities | Total number of entities related to all the people in the circle |\n| TotalPEPs \t\t\t | Total number of people in the circle who are Politically Exposed Persons (PEPs) |\n| TotalPublicServants\t | Total number of people in the circle who are public servants |\n| TotalClassMembers\t\t | Total number of people in the circle who are registered with a professional class organization |\n| TotalLivingPeople\t\t\t | Total number of people in the circle who are currently alive |\n| TotalDeceasedPeople\t\t | Total number of people in the circle who are deceased |\n| MinAge\t\t\t\t | The age of the yougest person in the circle |\n| MaxAge\t\t\t\t | The age of the oldest person in the circle |\n| AvgAge\t\t\t\t | Average age of all people in the circle |\n| MinNameUniqueness\t\t\t | The lowest name uniqueness level for all the people in the circle |\n| MaxNameUniqueness\t\t | The highest name uniqueness level for all the people in the circle |\n| AvgNameUniqueness | The average name uniqueness level for all the people in the circle |\n| CircleTotalIncomeRange | The sum of all income ranges of all people in the circle |\n| EntitiesAvgIncomeRange | The average income range of all the people in the circle |\n| EntitiesMinIncomeRange | The lowest income range of all the people in the circle |\n| EntitiesMaxIncomeRange | The highest income range of all the people in the circle |\n| MinEducationLevel | The lowest level of education of all the people in the circle |\n| AvgEducationLevel \t | The average level of education of all the people in the circle |\n| MaxEducationLevel \t | The highest level of education of all the people in the circle |\n| AvgGeographicDistance | The average geographic distance between all people in the circle |\n| MaxGeographicDistance | The maximum geographic distance between any two people in the circle |\n| MinGeographicDistance | The minimum geographic distance between any two people in the circle |\n| TotalEShopperLevel\t | The aggregated e-shopper level for all people in the circle |\n| MaxEShopperLevel \t | The highest e-shopper level for all people in the circle |\n| MinEShopperLevel \t | The lowest e-shopper level for all people in the circle |\n| TotalESellerLevel \t | The aggregated e-seller level for all people in the circle |\n| MaxESellerLevel\t\t | The highest e-seller level for all people in the circle |\n| MinESellerLevel\t\t | The lowest e-seller level for all people in the circle |\n| TotalLawsuits\t\t | Total number of lawsuits for all people in the circle |\n| TotalLawsuitsAsDefendant | Total number of lawsuits for all people in the circle where they are defendants |\n| TotalLawsuitsAsAuthor\t | Total number of lawsuits for all people in the circle where they are authors |\n| TotalPassages\t\t\t | Total number of passages for all people in the circle |\n| TotalBadPassages\t\t | Total number of passages in a suspicious situation for all people in the circle |\n| MonthAveragePassages\t | The average number of passages per month for all people in the circle combined |\n| FirstPassageDate\t\t | Date of the oldest passage for anyone in the circle |\n| LastPassageDate\t\t | Date of the most recent passage for anyone in the circle |\n| GenderDistribution\t | Distribution of people in the circle by gender |\n| AgeRangeDistribution | Distribution of people in the circle by age range |\n| IncomeRangeDistribution\t | Distribution of people in the circle by income range |\n| EducationLevelDistribution | Distribution of people in the circle by education level |\n| StateDistribution \t\t | Distribution of people in the circle by state |\n| EShopperDistribution\t\t | Distribution of people in the circle by e-shopper level |\n| ESellerDistribution\t\t | Distribution of people in the circle by e-seller level |\n| TaxIdStatusDistribution\t | Distribution of people in the circle by tax id status |\n| CircleType\t\t\t | Type of circle |\n| TotalEntities \t\t | Total number of people in the circle |\n| TotalDistinctAddresses | Total number of distinct addresses in circle for all entities in circle |\n| TotalDistinctPhones\t | Total number of distinct phone numbers for all entities in circle |\n| TotalDistinctEmails\t | Total number of distinct e-mail addresses for all entities in circle |\n| TotalEmployedEntities | Total number of people in the circle who are currently employed |\n| TotalCompaniesOwned\t | Total number of companies owned by all the people in the circle |\n| TotalRelatedEntities | Total number of entities related to all the people in the circle |\n| TotalPEPs \t\t\t | Total number of people in the circle who are Politically Exposed Persons (PEPs) |\n| TotalPublicServants\t | Total number of people in the circle who are public servants |\n| TotalClassMembers\t\t | Total number of people in the circle who are registered with a professional class organization |\n| TotalLivingPeople\t\t\t | Total number of people in the circle who are currently alive |\n| TotalDeceasedPeople\t\t | Total number of people in the circle who are deceased |\n| MinAge\t\t\t\t | The age of the yougest person in the circle |\n| MaxAge\t\t\t\t | The age of the oldest person in the circle |\n| AvgAge\t\t\t\t | Average age of all people in the circle |\n| MinNameUniqueness\t\t\t | The lowest name uniqueness level for all the people in the circle |\n| MaxNameUniqueness\t\t | The highest name uniqueness level for all the people in the circle |\n| AvgNameUniqueness | The average name uniqueness level for all the people in the circle |\n| CircleTotalIncomeRange | The sum of all income ranges of all people in the circle |\n| EntitiesAvgIncomeRange | The average income range of all the people in the circle |\n| EntitiesMinIncomeRange | The lowest income range of all the people in the circle |\n| EntitiesMaxIncomeRange | The highest income range of all the people in the circle |\n| MinEducationLevel | The lowest level of education of all the people in the circle |\n| AvgEducationLevel \t | The average level of education of all the people in the circle |\n| MaxEducationLevel \t | The highest level of education of all the people in the circle |\n| AvgGeographicDistance | The average geographic distance between all people in the circle |\n| MaxGeographicDistance | The maximum geographic distance between any two people in the circle |\n| MinGeographicDistance | The minimum geographic distance between any two people in the circle |\n| TotalEShopperLevel\t | The aggregated e-shopper level for all people in the circle |\n| MaxEShopperLevel \t | The highest e-shopper level for all people in the circle |\n| MinEShopperLevel \t | The lowest e-shopper level for all people in the circle |\n| TotalESellerLevel \t | The aggregated e-seller level for all people in the circle |\n| MaxESellerLevel\t\t | The highest e-seller level for all people in the circle |\n| MinESellerLevel\t\t | The lowest e-seller level for all people in the circle |\n| TotalLawsuits\t\t | Total number of lawsuits for all people in the circle |\n| TotalLawsuitsAsDefendant | Total number of lawsuits for all people in the circle where they are defendants |\n| TotalLawsuitsAsAuthor\t | Total number of lawsuits for all people in the circle where they are authors |\n| TotalPassages\t\t\t | Total number of passages for all people in the circle |\n| TotalBadPassages\t\t | Total number of passages in a suspicious situation for all people in the circle |\n| MonthAveragePassages\t | The average number of passages per month for all people in the circle combined |\n| FirstPassageDate\t\t | Date of the oldest passage for anyone in the circle |\n| LastPassageDate\t\t | Date of the most recent passage for anyone in the circle |\n| GenderDistribution\t | Distribution of people in the circle by gender |\n| AgeRangeDistribution | Distribution of people in the circle by age range |\n| IncomeRangeDistribution\t | Distribution of people in the circle by income range |\n| EducationLevelDistribution | Distribution of people in the circle by education level |\n| StateDistribution \t\t | Distribution of people in the circle by state |\n| EShopperDistribution\t\t | Distribution of people in the circle by e-shopper level |\n| ESellerDistribution\t\t | Distribution of people in the circle by e-seller level |\n| TaxIdStatusDistribution\t | Distribution of people in the circle by tax id status |\n| CircleType\t\t\t | Type of circle |\n| TotalEntities \t\t | Total number of people in the circle |\n| TotalDistinctAddresses | Total number of distinct addresses in circle for all entities in circle |\n| TotalDistinctPhones\t | Total number of distinct phone numbers for all entities in circle |\n| TotalDistinctEmails\t | Total number of distinct e-mail addresses for all entities in circle |\n| TotalEmployedEntities | Total number of people in the circle who are currently employed |\n| TotalCompaniesOwned\t | Total number of companies owned by all the people in the circle |\n| TotalRelatedEntities | Total number of entities related to all the people in the circle |\n| TotalPEPs \t\t\t | Total number of people in the circle who are Politically Exposed Persons (PEPs) |\n| TotalPublicServants\t | Total number of people in the circle who are public servants |\n| TotalClassMembers\t\t | Total number of people in the circle who are registered with a professional class organization |\n| TotalLivingPeople\t\t\t | Total number of people in the circle who are currently alive |\n| TotalDeceasedPeople\t\t | Total number of people in the circle who are deceased |\n| MinAge\t\t\t\t | The age of the yougest person in the circle |\n| MaxAge\t\t\t\t | The age of the oldest person in the circle |\n| AvgAge\t\t\t\t | Average age of all people in the circle |\n| MinNameUniqueness\t\t\t | The lowest name uniqueness level for all the people in the circle |\n| MaxNameUniqueness\t\t | The highest name uniqueness level for all the people in the circle |\n| AvgNameUniqueness | The average name uniqueness level for all the people in the circle |\n| CircleTotalIncomeRange | The sum of all income ranges of all people in the circle |\n| EntitiesAvgIncomeRange | The average income range of all the people in the circle |\n| EntitiesMinIncomeRange | The lowest income range of all the people in the circle |\n| EntitiesMaxIncomeRange | The highest income range of all the people in the circle |\n| MinEducationLevel | The lowest level of education of all the people in the circle |\n| AvgEducationLevel \t | The average level of education of all the people in the circle |\n| MaxEducationLevel \t | The highest level of education of all the people in the circle |\n| AvgGeographicDistance | The average geographic distance between all people in the circle |\n| MaxGeographicDistance | The maximum geographic distance between any two people in the circle |\n| MinGeographicDistance | The minimum geographic distance between any two people in the circle |\n| TotalEShopperLevel\t | The aggregated e-shopper level for all people in the circle |\n| MaxEShopperLevel \t | The highest e-shopper level for all people in the circle |\n| MinEShopperLevel \t | The lowest e-shopper level for all people in the circle |\n| TotalESellerLevel \t | The aggregated e-seller level for all people in the circle |\n| MaxESellerLevel\t\t | The highest e-seller level for all people in the circle |\n| MinESellerLevel\t\t | The lowest e-seller level for all people in the circle |\n| TotalLawsuits\t\t | Total number of lawsuits for all people in the circle |\n| TotalLawsuitsAsDefendant | Total number of lawsuits for all people in the circle where they are defendants |\n| TotalLawsuitsAsAuthor\t | Total number of lawsuits for all people in the circle where they are authors |\n| TotalPassages\t\t\t | Total number of passages for all people in the circle |\n| TotalBadPassages\t\t | Total number of passages in a suspicious situation for all people in the circle |\n| MonthAveragePassages\t | The average number of passages per month for all people in the circle combined |\n| FirstPassageDate\t\t | Date of the oldest passage for anyone in the circle |\n| LastPassageDate\t\t | Date of the most recent passage for anyone in the circle |\n| GenderDistribution\t | Distribution of people in the circle by gender |\n| AgeRangeDistribution | Distribution of people in the circle by age range |\n| IncomeRangeDistribution\t | Distribution of people in the circle by income range |\n| EducationLevelDistribution | Distribution of people in the circle by education level |\n| StateDistribution \t\t | Distribution of people in the circle by state |\n| EShopperDistribution\t\t | Distribution of people in the circle by e-shopper level |\n| ESellerDistribution\t\t | Distribution of people in the circle by e-seller level |\n| TaxIdStatusDistribution\t | Distribution of people in the circle by tax id status |\n| CircleType\t\t\t | Type of circle |\n| TotalEntities \t\t | Total number of people in the circle |\n| TotalDistinctAddresses | Total number of distinct addresses in circle for all entities in circle |\n| TotalDistinctPhones\t | Total number of distinct phone numbers for all entities in circle |\n| TotalDistinctEmails\t | Total number of distinct e-mail addresses for all entities in circle |\n| TotalEmployedEntities | Total number of people in the circle who are currently employed |\n| TotalCompaniesOwned\t | Total number of companies owned by all the people in the circle |\n| TotalRelatedEntities | Total number of entities related to all the people in the circle |\n| TotalPEPs \t\t\t | Total number of people in the circle who are Politically Exposed Persons (PEPs) |\n| TotalPublicServants\t | Total number of people in the circle who are public servants |\n| TotalClassMembers\t\t | Total number of people in the circle who are registered with a professional class organization |\n| TotalLivingPeople\t\t\t | Total number of people in the circle who are currently alive |\n| TotalDeceasedPeople\t\t | Total number of people in the circle who are deceased |\n| MinAge\t\t\t\t | The age of the yougest person in the circle |\n| MaxAge\t\t\t\t | The age of the oldest person in the circle |\n| AvgAge\t\t\t\t | Average age of all people in the circle |\n| MinNameUniqueness\t\t\t | The lowest name uniqueness level for all the people in the circle |\n| MaxNameUniqueness\t\t | The highest name uniqueness level for all the people in the circle |\n| AvgNameUniqueness | The average name uniqueness level for all the people in the circle |\n| CircleTotalIncomeRange | The sum of all income ranges of all people in the circle |\n| EntitiesAvgIncomeRange | The average income range of all the people in the circle |\n| EntitiesMinIncomeRange | The lowest income range of all the people in the circle |\n| EntitiesMaxIncomeRange | The highest income range of all the people in the circle |\n| MinEducationLevel | The lowest level of education of all the people in the circle |\n| AvgEducationLevel \t | The average level of education of all the people in the circle |\n| MaxEducationLevel \t | The highest level of education of all the people in the circle |\n| AvgGeographicDistance | The average geographic distance between all people in the circle |\n| MaxGeographicDistance | The maximum geographic distance between any two people in the circle |\n| MinGeographicDistance | The minimum geographic distance between any two people in the circle |\n| TotalEShopperLevel\t | The aggregated e-shopper level for all people in the circle |\n| MaxEShopperLevel \t | The highest e-shopper level for all people in the circle |\n| MinEShopperLevel \t | The lowest e-shopper level for all people in the circle |\n| TotalESellerLevel \t | The aggregated e-seller level for all people in the circle |\n| MaxESellerLevel\t\t | The highest e-seller level for all people in the circle |\n| MinESellerLevel\t\t | The lowest e-seller level for all people in the circle |\n| TotalLawsuits\t\t | Total number of lawsuits for all people in the circle |\n| TotalLawsuitsAsDefendant | Total number of lawsuits for all people in the circle where they are defendants |\n| TotalLawsuitsAsAuthor\t | Total number of lawsuits for all people in the circle where they are authors |\n| TotalPassages\t\t\t | Total number of passages for all people in the circle |\n| TotalBadPassages\t\t | Total number of passages in a suspicious situation for all people in the circle |\n| MonthAveragePassages\t | The average number of passages per month for all people in the circle combined |\n| FirstPassageDate\t\t | Date of the oldest passage for anyone in the circle |\n| LastPassageDate\t\t | Date of the most recent passage for anyone in the circle |\n| GenderDistribution\t | Distribution of people in the circle by gender |\n| AgeRangeDistribution | Distribution of people in the circle by age range |\n| IncomeRangeDistribution\t | Distribution of people in the circle by income range |\n| EducationLevelDistribution | Distribution of people in the circle by education level |\n| StateDistribution \t\t | Distribution of people in the circle by state |\n| EShopperDistribution\t\t | Distribution of people in the circle by e-shopper level |\n| ESellerDistribution\t\t | Distribution of people in the circle by e-seller level |\n| TaxIdStatusDistribution\t | Distribution of people in the circle by tax id status |\n| CircleType\t\t\t | Type of circle |\n| TotalEntities \t\t | Total number of people in the circle |\n| TotalDistinctAddresses | Total number of distinct addresses in circle for all entities in circle |\n| TotalDistinctPhones\t | Total number of distinct phone numbers for all entities in circle |\n| TotalDistinctEmails\t | Total number of distinct e-mail addresses for all entities in circle |\n| TotalEmployedEntities | Total number of people in the circle who are currently employed |\n| TotalCompaniesOwned\t | Total number of companies owned by all the people in the circle |\n| TotalRelatedEntities | Total number of entities related to all the people in the circle |\n| TotalPEPs \t\t\t | Total number of people in the circle who are Politically Exposed Persons (PEPs) |\n| TotalPublicServants\t | Total number of people in the circle who are public servants |\n| TotalClassMembers\t\t | Total number of people in the circle who are registered with a professional class organization |\n| TotalLivingPeople\t\t\t | Total number of people in the circle who are currently alive |\n| TotalDeceasedPeople\t\t | Total number of people in the circle who are deceased |\n| MinAge\t\t\t\t | The age of the yougest person in the circle |\n| MaxAge\t\t\t\t | The age of the oldest person in the circle |\n| AvgAge\t\t\t\t | Average age of all people in the circle |\n| MinNameUniqueness\t\t\t | The lowest name uniqueness level for all the people in the circle |\n| MaxNameUniqueness\t\t | The highest name uniqueness level for all the people in the circle |\n| AvgNameUniqueness | The average name uniqueness level for all the people in the circle |\n| CircleTotalIncomeRange | The sum of all income ranges of all people in the circle |\n| EntitiesAvgIncomeRange | The average income range of all the people in the circle |\n| EntitiesMinIncomeRange | The lowest income range of all the people in the circle |\n| EntitiesMaxIncomeRange | The highest income range of all the people in the circle |\n| MinEducationLevel | The lowest level of education of all the people in the circle |\n| AvgEducationLevel \t | The average level of education of all the people in the circle |\n| MaxEducationLevel \t | The highest level of education of all the people in the circle |\n| AvgGeographicDistance | The average geographic distance between all people in the circle |\n| MaxGeographicDistance | The maximum geographic distance between any two people in the circle |\n| MinGeographicDistance | The minimum geographic distance between any two people in the circle |\n| TotalEShopperLevel\t | The aggregated e-shopper level for all people in the circle |\n| MaxEShopperLevel \t | The highest e-shopper level for all people in the circle |\n| MinEShopperLevel \t | The lowest e-shopper level for all people in the circle |\n| TotalESellerLevel \t | The aggregated e-seller level for all people in the circle |\n| MaxESellerLevel\t\t | The highest e-seller level for all people in the circle |\n| MinESellerLevel\t\t | The lowest e-seller level for all people in the circle |\n| TotalLawsuits\t\t | Total number of lawsuits for all people in the circle |\n| TotalLawsuitsAsDefendant | Total number of lawsuits for all people in the circle where they are defendants |\n| TotalLawsuitsAsAuthor\t | Total number of lawsuits for all people in the circle where they are authors |\n| TotalPassages\t\t\t | Total number of passages for all people in the circle |\n| TotalBadPassages\t\t | Total number of passages in a suspicious situation for all people in the circle |\n| MonthAveragePassages\t | The average number of passages per month for all people in the circle combined |\n| FirstPassageDate\t\t | Date of the oldest passage for anyone in the circle |\n| LastPassageDate\t\t | Date of the most recent passage for anyone in the circle |\n| GenderDistribution\t | Distribution of people in the circle by gender |\n| AgeRangeDistribution | Distribution of people in the circle by age range |\n| IncomeRangeDistribution\t | Distribution of people in the circle by income range |\n| EducationLevelDistribution | Distribution of people in the circle by education level |\n| StateDistribution \t\t | Distribution of people in the circle by state |\n| EShopperDistribution\t\t | Distribution of people in the circle by e-shopper level |\n| ESellerDistribution\t\t | Distribution of people in the circle by e-seller level |\n| TaxIdStatusDistribution\t | Distribution of people in the circle by tax id status |\n| CircleType\t\t\t | Type of circle |\n| TotalEntities \t\t | Total number of people in the circle |\n| TotalDistinctAddresses | Total number of distinct addresses in circle for all entities in circle |\n| TotalDistinctPhones\t | Total number of distinct phone numbers for all entities in circle |\n| TotalDistinctEmails\t | Total number of distinct e-mail addresses for all entities in circle |\n| TotalEmployedEntities | Total number of people in the circle who are currently employed |\n| TotalCompaniesOwned\t | Total number of companies owned by all the people in the circle |\n| TotalRelatedEntities | Total number of entities related to all the people in the circle |\n| TotalPEPs \t\t\t | Total number of people in the circle who are Politically Exposed Persons (PEPs) |\n| TotalPublicServants\t | Total number of people in the circle who are public servants |\n| TotalClassMembers\t\t | Total number of people in the circle who are registered with a professional class organization |\n| TotalLivingPeople\t\t\t | Total number of people in the circle who are currently alive |\n| TotalDeceasedPeople\t\t | Total number of people in the circle who are deceased |\n| MinAge\t\t\t\t | The age of the yougest person in the circle |\n| MaxAge\t\t\t\t | The age of the oldest person in the circle |\n| AvgAge\t\t\t\t | Average age of all people in the circle |\n| MinNameUniqueness\t\t\t | The lowest name uniqueness level for all the people in the circle |\n| MaxNameUniqueness\t\t | The highest name uniqueness level for all the people in the circle |\n| AvgNameUniqueness | The average name uniqueness level for all the people in the circle |\n| CircleTotalIncomeRange | The sum of all income ranges of all people in the circle |\n| EntitiesAvgIncomeRange | The average income range of all the people in the circle |\n| EntitiesMinIncomeRange | The lowest income range of all the people in the circle |\n| EntitiesMaxIncomeRange | The highest income range of all the people in the circle |\n| MinEducationLevel | The lowest level of education of all the people in the circle |\n| AvgEducationLevel \t | The average level of education of all the people in the circle |\n| MaxEducationLevel \t | The highest level of education of all the people in the circle |\n| AvgGeographicDistance | The average geographic distance between all people in the circle |\n| MaxGeographicDistance | The maximum geographic distance between any two people in the circle |\n| MinGeographicDistance | The minimum geographic distance between any two people in the circle |\n| TotalEShopperLevel\t | The aggregated e-shopper level for all people in the circle |\n| MaxEShopperLevel \t | The highest e-shopper level for all people in the circle |\n| MinEShopperLevel \t | The lowest e-shopper level for all people in the circle |\n| TotalESellerLevel \t | The aggregated e-seller level for all people in the circle |\n| MaxESellerLevel\t\t | The highest e-seller level for all people in the circle |\n| MinESellerLevel\t\t | The lowest e-seller level for all people in the circle |\n| TotalLawsuits\t\t | Total number of lawsuits for all people in the circle |\n| TotalLawsuitsAsDefendant | Total number of lawsuits for all people in the circle where they are defendants |\n| TotalLawsuitsAsAuthor\t | Total number of lawsuits for all people in the circle where they are authors |\n| TotalPassages\t\t\t | Total number of passages for all people in the circle |\n| TotalBadPassages\t\t | Total number of passages in a suspicious situation for all people in the circle |\n| MonthAveragePassages\t | The average number of passages per month for all people in the circle combined |\n| FirstPassageDate\t\t | Date of the oldest passage for anyone in the circle |\n| LastPassageDate\t\t | Date of the most recent passage for anyone in the circle |\n| GenderDistribution\t | Distribution of people in the circle by gender |\n| AgeRangeDistribution | Distribution of people in the circle by age range |\n| IncomeRangeDistribution\t | Distribution of people in the circle by income range |\n| EducationLevelDistribution | Distribution of people in the circle by education level |\n| StateDistribution \t\t | Distribution of people in the circle by state |\n| EShopperDistribution\t\t | Distribution of people in the circle by e-shopper level |\n| ESellerDistribution\t\t | Distribution of people in the circle by e-seller level |\n| TaxIdStatusDistribution\t | Distribution of people in the circle by tax id status |\n| CircleType\t\t\t | Type of circle |\n| TotalEntities \t\t | Total number of people in the circle |\n| TotalDistinctAddresses | Total number of distinct addresses in circle for all entities in circle |\n| TotalDistinctPhones\t | Total number of distinct phone numbers for all entities in circle |\n| TotalDistinctEmails\t | Total number of distinct e-mail addresses for all entities in circle |\n| TotalEmployedEntities | Total number of people in the circle who are currently employed |\n| TotalCompaniesOwned\t | Total number of companies owned by all the people in the circle |\n| TotalRelatedEntities | Total number of entities related to all the people in the circle |\n| TotalPEPs \t\t\t | Total number of people in the circle who are Politically Exposed Persons (PEPs) |\n| TotalPublicServants\t | Total number of people in the circle who are public servants |\n| TotalClassMembers\t\t | Total number of people in the circle who are registered with a professional class organization |\n| TotalLivingPeople\t\t\t | Total number of people in the circle who are currently alive |\n| TotalDeceasedPeople\t\t | Total number of people in the circle who are deceased |\n| MinAge\t\t\t\t | The age of the yougest person in the circle |\n| MaxAge\t\t\t\t | The age of the oldest person in the circle |\n| AvgAge\t\t\t\t | Average age of all people in the circle |\n| MinNameUniqueness\t\t\t | The lowest name uniqueness level for all the people in the circle |\n| MaxNameUniqueness\t\t | The highest name uniqueness level for all the people in the circle |\n| AvgNameUniqueness | The average name uniqueness level for all the people in the circle |\n| CircleTotalIncomeRange | The sum of all income ranges of all people in the circle |\n| EntitiesAvgIncomeRange | The average income range of all the people in the circle |\n| EntitiesMinIncomeRange | The lowest income range of all the people in the circle |\n| EntitiesMaxIncomeRange | The highest income range of all the people in the circle |\n| MinEducationLevel | The lowest level of education of all the people in the circle |\n| AvgEducationLevel \t | The average level of education of all the people in the circle |\n| MaxEducationLevel \t | The highest level of education of all the people in the circle |\n| AvgGeographicDistance | The average geographic distance between all people in the circle |\n| MaxGeographicDistance | The maximum geographic distance between any two people in the circle |\n| MinGeographicDistance | The minimum geographic distance between any two people in the circle |\n| TotalEShopperLevel\t | The aggregated e-shopper level for all people in the circle |\n| MaxEShopperLevel \t | The highest e-shopper level for all people in the circle |\n| MinEShopperLevel \t | The lowest e-shopper level for all people in the circle |\n| TotalESellerLevel \t | The aggregated e-seller level for all people in the circle |\n| MaxESellerLevel\t\t | The highest e-seller level for all people in the circle |\n| MinESellerLevel\t\t | The lowest e-seller level for all people in the circle |\n| TotalLawsuits\t\t | Total number of lawsuits for all people in the circle |\n| TotalLawsuitsAsDefendant | Total number of lawsuits for all people in the circle where they are defendants |\n| TotalLawsuitsAsAuthor\t | Total number of lawsuits for all people in the circle where they are authors |\n| TotalPassages\t\t\t | Total number of passages for all people in the circle |\n| TotalBadPassages\t\t | Total number of passages in a suspicious situation for all people in the circle |\n| MonthAveragePassages\t | The average number of passages per month for all people in the circle combined |\n| FirstPassageDate\t\t | Date of the oldest passage for anyone in the circle |\n| LastPassageDate\t\t | Date of the most recent passage for anyone in the circle |\n| GenderDistribution\t | Distribution of people in the circle by gender |\n| AgeRangeDistribution | Distribution of people in the circle by age range |\n| IncomeRangeDistribution\t | Distribution of people in the circle by income range |\n| EducationLevelDistribution | Distribution of people in the circle by education level |\n| StateDistribution \t\t | Distribution of people in the circle by state |\n| EShopperDistribution\t\t | Distribution of people in the circle by e-shopper level |\n| ESellerDistribution\t\t | Distribution of people in the circle by e-seller level |\n| TaxIdStatusDistribution\t | Distribution of people in the circle by tax id status |\n| Memberships\t\t\t\t | List with the objects that contain details about the memberships |\n| TotalMemberships | Total number of organizations the person is or has been associated with |\n| TotalActiveMemberships\t\t | Total number of active memberships the person has\t |\n| Memberships.OrganizationName | Organization name |\n| Memberships.OrganizationCountry | Country where the person is registered |\n| Memberships.OrganizationType | Type of organization or class entity |\n| Memberships.OrganizationChapter | Sate or chapter where the person is registered |\n| Memberships.RegistrationId | Person's registration number |\n| Memberships.Category | Category under which the person is registered |\n| Memberships.Status | Registration status |\n| Memberships.StartDate | Date when the person first joined the organization |\n| Memberships.EndtDate | Date when the person left the organization |\n| Memberships.CreationDate | Date when this record was created |\n| Memberships.LastUpdate | Date when this record was last updated |\n| organizationname | Organization name | Equal\t\t| CREFITO, CREAAC, ...|\n| organizationtype | Type of organization | Equal\t\t| CLASS ASSOCIATION, PROFESSIONAL ORGANIZATION |\n| organizationchapter | State of membership\t | Equal\t\t| RJ, SP, AC, MG, AM, PE, SC, ES, ... |\n| status \t\t\t | Registration Status\t | Equal \t | ATIVO, BAIXADA, TRANSFERIDO, CANCELADO, INTERROMPIDO, REQUERIMENTO ... |\n| category \t\t | Registration Category | Equal\t\t| FISIOTERAPEUTA DEFINITIVO, ENGENHARIA CIVIL, ENGENHEIRO AGRONOMO , ENGENHARIA FLORESTAL, ENGENHEIRO GEOLOGO, TECNOLOGO EM CONSTRUCAO CIVIL-EDIFICACOES, TECNOLOGO EM HEVEICULTURA, TECNICO EM AGROPECUARIA, ... |\n| CollectionOccurrences | Number of times the person was seen in a collection process |\n| CollectionOrigins | Number of different entities that queried this person in a collection process |\n| FirstCollectionDate | Date when this person was first seen in a collection process |\n| LastCollectionDate | Date when this person was last seen in a collection process |\n| CreationDate | Date when this record was created |\n| LastUpdateDate | Date when this record was last updated |\n| EstimatedIncomeRange | 1 - ATE 2 SM, 2 - 2 A 4 SM, 3 - 4 A 10 SM, 4 - 10 A 20 SM, 5 - ACIMA DE 20 SM |\n| EstimatedInstructionLevel | 01 - ANALFABETO, 02 - ATE 5.A INC, 03 - 5.A CO FUND, 04 - 6. A 9. FUND, 05 - FUND COMPL, 06 - MEDIO INCOMP, 07 - MEDIO COMPL, 08 - SUP. INCOMP, 09 - SUP. COMP, 10 - MESTRADO, 11 - DOUTORADO, 00 - ANALFABETO, 01 - CRECHE, PRE-ESCOLAR (MATERNAL E JARDIM DE INFANCIA), CLASSE DE ALFAB, 02 - ALFABETIZAAO DE JOVENS E ADULTOS, 03 - ANTIGO PRIMARIO (ELEMENTAR), 04 - ANTIGO GINASIO (MEDIO 1 CICLO), 05 - REGULAR DO ENSINO FUNDAMENTAL OU 1 GRAU (DA 1A 3A SERIE/ DO 1 AO 4 A, 06 - REGULAR DO ENSINO FUNDAMENTAL OU 1 GRAU (DA 4A SERIE/5 ANO), 07 - REGULAR DO ENSINO FUNDAMENTAL OU 1 GRAU (DA 5AA 8A SERIE/ DO 6 AO 9 , 08 - SUPLETIVO DO ENSINO FUNDAMENTAL OU DO 1 GRAU, 09 - ANTIGO CIENTIFICO, CLASSICO, ETC. (MEDIO 2 CICLO), 10 - REGULAR OU SUPLETIVO DO ENSINO MEDIO OU DO 2 GRAU, 11 - SUPERIOR DE GRADUACAO, 12 - ESPECIALIZACAO DE NIVEL SUPERIOR (MINIMO DE 360 HORAS) |\n| SocialClass | A, B, C, D, E |\n| HostName | Host name |\n| DomainName | Domain name |\n| FinalDomainName | Final domain name |\n| DomainClass | Domain class |\n| DomainMainSegment | Domain segment |\n| VisitorRange | Visitor total range |\n| ServerTechnology | Server technology |\n| DevelopmentLanguage | Development language |\n| Framework | Used framework |\n| PageCountRange | Page count range |\n| PaymentServices | Payment services |\n| PaymentMethods | Payment methods |\n| CreditCards | Credit cards |\n| FinancialInstitutions | Financial institutions |\n| IspName | Provider |\n| IspCountry | Provider's country |\n| IspRegion | Provider's region |\n| IspCity | Provider's city |\n| ProductRangeCount | Total range of products |\n| AvgPrice | Average price |\n| AdNetworks | Ad networks |\n| SocialNetworks | Social networks |\n| ChatProviders | Chat providers |\n| HelpDeskProviders | Help desk providers |\n| FraudService | Fraud service |\n| MappingServices | Mapping service |\n| AnalyticsServices | Analytics services |\n| RecommendationEngine | Recommendation engine |\n| RegistrationStatus | Registration status |\n| EstimatedIncome | Estimated income |\n| AvgLoadTime | Average load time |\n| AvgPageSize | Average page size |\n| CaptureDate | Capture date |\n| RegistrationDate | Registration date |\n| ExpirationDate | Expiration date |\n| IsActive | Indicates if it is active |\n| HasSsl | Indicates if has SSL |\n|hasssl\t\t\t| Indicate if has SSL (true, false)|\n|isactive\t\t| Indicate if is an active domain (true, false)|\n|socialnetworks\t| Social networks |\n|ispname\t\t| Provider name|\n|paymentmethods\t| Payment methods|\n|paymentservices| Payment services|\n|framework \t\t| Used framework|\n|visitorrange\t| Range visitor|\n|domainclass\t| Indicates the domain class(PORTAL, BLOG, ...)|\n| EmailAddress | Email address |\n| Type | Email type (WORK, PERSONAL ) |\n| Username\t\t\t\t\t| The \"username\" part of the e-mail (before the \"@\" symbol ) |\n| Domain\t\t\t\t\t| The \"domain\" part of the e-mail (after the \"@\" symbol ) |\n| EmailTotalPassages | Number of times this e-mail was seen for this entity |\n| EmailBadPassages | Number of times this e-mail was seen for this entity in a suspicious situation |\n| EmailCrawlingPassages | Number of times this e-mail was seen for this entity in a capture or crawling process |\n| EmailValidationPassages | Number of times this e-mail was seen for this entity in a id validation process |\n| EmailQueryPassages | Number of times this e-mail was seen for this entity in a query |\n| EmailMonthAveragePassages | Average number of times the e-mail was seen with the entity per month |\n| EmailNumberOfEntities | Number of different entities associated with this e-mail |\n| Priority | Priority level of this e-mail for this entity. Lower is better. |\n| IsMain | Flag indicating if this is the entity's main e-mail address |\n| IsActive | Flag indicating if this e-mail is active for this entity |\n| ValidationStatus | The last recorded validation status from the e-mail validation process |\n| LastValidationDate | Date when the e-mail was last validated |\n| FirstPassageDate | Date when this e-mail was first seen for this entity |\n| LastPassageDate | Date when this e-mail was last seen for this entity |\n| CreationDate | Date when the record was created |\n| LastUpdateDate | Date when the record was last updated |\n| EmailAddress | Email address |\n| Type | Email type (WORK, PERSONAL ) |\n| Username\t\t\t\t\t| The \"username\" part of the e-mail (before the \"@\" symbol ) |\n| Domain\t\t\t\t\t| The \"domain\" part of the e-mail (after the \"@\" symbol ) |\n| EmailTotalPassages | Number of times this e-mail was seen for this entity |\n| EmailBadPassages | Number of times this e-mail was seen for this entity in a suspicious situation |\n| EmailCrawlingPassages | Number of times this e-mail was seen for this entity in a capture or crawling process |\n| EmailValidationPassages | Number of times this e-mail was seen for this entity in a id validation process |\n| EmailQueryPassages | Number of times this e-mail was seen for this entity in a query |\n| EmailMonthAveragePassages | Average number of times the e-mail was seen with the entity per month |\n| EmailNumberOfEntities | Number of different entities associated with this e-mail |\n| Priority | Priority level of this e-mail for this entity. Lower is better. |\n| IsMain | Flag indicating if this is the entity's main e-mail address |\n| IsActive | Flag indicating if this e-mail is active for this entity |\n| ValidationStatus | The last recorded validation status from the e-mail validation process |\n| LastValidationDate | Date when the e-mail was last validated |\n| FirstPassageDate | Date when this e-mail was first seen for this entity |\n| LastPassageDate | Date when this e-mail was last seen for this entity |\n| CreationDate | Date when the record was created |\n| LastUpdateDate | Date when the record was last updated |\n| IncomeEstimates | SEM INFORMACAO, 1/2 A 1 SM, DE 1 A 1,5 SM, ATE 2 SM, 2 A 4 SM, 4 A 10 SM, 10 A 20 SM, ACIMA DE 20 SM |\n| TotalAssets\t\t | ABAIXO DE 100K, 100K A 250K, 250K A 500K, 500K A 1MM, 1 A 5MM, ACIMA DE 5MM\t\t\t\t\t\t\t|\n| ModelInputKey | The input key (or keys) used to run the model\t\t\t\t\t\t\t |\n| ModelDescription | A brief description of the model and its output\t\t\t\t\t\t |\n| ModelName | The name of the model \t\t\t\t\t\t\t\t\t\t\t |\n| ModelRating | The model output range. Will only be filled out for \"range-based\" models |\n| ModelScore | The model output score. Will only be filled out for \"score-based\" models |\n| CalculationDate | Date when the output was calculated |\n| ReferenceDate | Reference date used for the calculations |\n| Behaviors.ProductReseller | Indicates whether the person is a product reseller |\n| Behaviors.CreditCardScore | Indicates whether the person has credit card score |\n| Behaviors.MilesProgram | Indicates whether the person participates in the miles program |\n| Behaviors.OnlineInvestor | indicates whether the person is a online investor\t\t\t\t |\n| CategoriesOfInterest | Person's categories of interest |\n| IsCurrentlyPEP | Flag indicating if the entity is currently a PEP |\n| IsCurrentlySanctioned | Flag indicating if the entity currently has any sanctions or restrictions |\n| PEPHistory\t\t\t\t\t | List of objects with the historical and current PPE data |\n| SanctionsHistory\t\t\t\t | List of objects with the historical and current sanctions and restrictions data |\n| PEPHistory.Level | PEP level |\n| PEPHistory.JobTitle | Job description |\n| PEPHistory.Department | Department |\n| PEPHistory.Motive | Reason why the person was marked as PEP |\n| PEPHistory.Source | Source where the data comes from |\n| PEPHistory.EndDate | Date when the person stops being a PEP for this job and reason |\n| PEPHistory.CreationDate | Date when this data was first captured |\n| PEPHistory.LastUpdateDate | Date when this data was last updated |\n| SanctionsHistory.Source | Source where the sanction information was found |\n| SanctionsHistory.Type | Type of sanction or restriction |\n| SanctionsHistory.MatchRate | Match rate between the name of the entity and the name found on the source |\n| SanctionsHistory.Details | Additional details about the sanction or restriction |\n| SanctionsHistory.StartDate | Date when the sanction started |\n| SanctionsHistory.EndDate | Date when the sanction expires |\n| SanctionsHistory.CreationDate | Date when this data was first captured |\n| SanctionsHistory.LastUpdateDate | Date when this data was last updated |\n| MediaExposureLevel | Level of media exposure for this entity |\n| CelebrityLevel | Celebrity (sustained, high frequency media exposure) level for the person |\n| UnpopularityLevel | Unpopularity (negative media exposure) level for this entity |\n| NewsItems\t\t\t\t\t| List of objects with all news items found for the entity and their details |\n| Next\t\t\t\t\t\t| Reference token used for fetching the next set of result news items |\n| NewsItems.Title \t\t\t\t\t | Title of the news or content item |\n| NewsItems.SourceName \t\t\t\t\t | Name of the source from which the item was fetched |\n| NewsItems.Url \t\t\t\t | Original URL for the content |\n| NewsItems.Categories \t\t\t\t\t | List of categories associated with the content item |\n| NewsItems.NewsComments\t\t\t\t\t\t | List of objects with all the comments captured for this item and their details |\n| NewsItems.SentimentAnalysis.Label\t\t\t\t | Overall sentiment label (positive, negative) attached to the content |\n| NewsItems.SentimentAnalysis.PeopleCount\t\t | Number of different people identified in the contents |\n| NewsItems.SentimentAnalysis.PlacesCount\t\t | Number of different places identified in the contents |\n| NewsItems.SentimentAnalysis.OrganizationsCount | Number of different companies identified in the contents \t\t\t |\n| NewsItems.SentimentAnalysis.Entities\t\t\t | Dictionary of keys and values with the names of the entities and the sentiment (positive, negative) of the content for each entity | \n| NewsItems.PublicationDate \t\t\t\t\t | Date when the news or content item was published |\n| NewsItems.CaptureDate \t\t\t\t\t | Date when the news or content item was captured \t\t\t |\n| Phone | Related phone number |\n| FirstAdDate | Date of the first ad |\n| LastAdDate | Date of the last ad |\n| TotalAds | Total number of ads |\n| ActiveAds | Total number of active ads |\n| MaxActiveAds | Max active ads |\n| AdsLast30Days | Ads published in the last 30 days |\n| AdsLast90Days | Ads published in the last 90 days |\n| AdsLast180Days | Ads published in the last 180 days |\n| AdsLast365Days | Ads published in the last 365 days |\n| AdsInMainAdPortal | Ads in the main portal |\n| AdsInMainAdCategory | Ads in the main category |\n| AdMaxValue | Ad maximum value |\n| AdMinValue | Ad minimum value |\n| AdAvgValue | Ad average value |\n| LastAdValue | Last ad value |\n| MainAdPortal | Main ad portal |\n| MainAdCategory | Main ad category |\n| AdPortals | Ad portals |\n| AdCategories | Ad categories |\n| CreationDate | Creation Date |\n| LastUpdateDate | Last update date |\n| activeads \t| Total number of active ads |\n| totalads \t| Total number of ads |\n| admaxvalue \t| Ad maximum value |\n| adminvalue \t| Ad minimum value |\n| portal\t\t| ad portals |\n| category \t| ad categories |\n| Eshopper | Level of shopping activity online |\n| Eseller | Level of selling activity online |\n| InternetUsageLevel | Level of internet usage |\n| WebPassages | Number of web passages |\n| CreationDate | Creation date |\n| LastUpdateDate | Last update date |\n| TotalPassages | Total number of times the entity was seen |\n| BadPassages | Total number of times the entity was seen in a suspicious situation |\n| CrawlingPassages | Total number of times the entity was seen in a web crawling process |\n| ValidationPassages | Total number of times the entity was seen in an identity validation process |\n| QueryPassages | Total number of times the entity was seen on a query |\n| MonthAveragePassages | Average number of times the entity was seen per month |\n| NumberOfEmails | Total number of unique e-mail addresses associated with the person |\n| NumberOfPhones | Total number of unique phone numbers associated with the person |\n| NumberOfAddresses | Total number of unique addresses associated with the person |\n| FirstPassageDate | Date when the person was first seen |\n| LastPassageDate | Date when the person was last seen |\n| Number | Core phone number |\n| AreaCode | Area code |\n| CountryCode | Country code \t\t\t\t\t\t\t\t\t\t |\n| Complement | Complement (extension, modifiers, etc.) \t\t\t |\n| Type | Inferred type of the phone number (WORK, MOBILE, ...) \t\t\t\t |\n| PhoneTotalPassages | Number of times this phone number was seen for this entity |\n| PhoneBadPassages | Number of times this phone number was seen for this entity in a suspicious situation |\n| PhoneCrawlingPassages | Number of times this phone number was seen for this entity in a capture or crawling process |\n| PhoneValidationPassages | Number of times this phone number was seen for this entity in a id validation process |\n| PhoneQueryPassages | Number of times this phone number was seen for this entity in a query |\n| PhoneMonthAveragePassages | Average number of times the phone number was seen with the entity per month |\n| PhoneNumberOfEntities | Number of different entities associated with this phone number |\n| Priority | Priority level of this phone number for this entity. Lower is better. |\n| IsMain | Flag indicating if this is the entity's main phone number |\n| IsActive | Flag indicating if this phone number is active for this entity |\n| IsRecent\t\t\t\t\t\t| Flag indicating if this phone number was recently seen for this entity\t\t\t\t\t |\n| IsInDoNotCallList | Flag indicating if this phone number is registered in a PROCON \"Do Not Call List\" |\n| CurrentCarrier | Current carrier |\n| PlanType | Plan type (Prepaid, Postpaid) \t\t |\n| LastValidationDate | Date when this phone number was last validated |\n| FirstPassageDate | Date when this phone number was first seen for this entity |\n| LastPassageDate | Date when this phone number was last seen for this entity |\n| PortabilityHistory | List of objects with information about the phone number portability history |\n| HasOptIn | Flag indicating if there was explicit opt-in by this phone number in our database |\n| CreationDate | Date when the record was created |\n| LastUpdateDate | Date when the record was last updated |\n| Number | Core phone number |\n| AreaCode | Area code |\n| CountryCode | Country code \t\t\t\t\t\t\t\t\t\t |\n| Complement | Complement (extension, modifiers, etc.) \t\t\t |\n| Type | Inferred type of the phone number (WORK, MOBILE, ...) \t\t\t\t |\n| PhoneTotalPassages | Number of times this phone number was seen for this entity |\n| PhoneBadPassages | Number of times this phone number was seen for this entity in a suspicious situation |\n| PhoneCrawlingPassages | Number of times this phone number was seen for this entity in a capture or crawling process |\n| PhoneValidationPassages | Number of times this phone number was seen for this entity in a id validation process |\n| PhoneQueryPassages | Number of times this phone number was seen for this entity in a query |\n| PhoneMonthAveragePassages | Average number of times the phone number was seen with the entity per month |\n| PhoneNumberOfEntities | Number of different entities associated with this phone number |\n| Priority | Priority level of this phone number for this entity. Lower is better. |\n| IsMain | Flag indicating if this is the entity's main phone number |\n| IsActive | Flag indicating if this phone number is active for this entity |\n| IsRecent\t\t\t\t\t\t| Flag indicating if this phone number was recently seen for this entity\t\t\t\t\t |\n| IsInDoNotCallList | Flag indicating if this phone number is registered in a PROCON \"Do Not Call List\" |\n| CurrentCarrier | Current carrier |\n| PlanType | Plan type (Prepaid, Postpaid) \t\t |\n| LastValidationDate | Date when this phone number was last validated |\n| FirstPassageDate | Date when this phone number was first seen for this entity |\n| LastPassageDate | Date when this phone number was last seen for this entity |\n| PortabilityHistory | List of objects with information about the phone number portability history |\n| HasOptIn | Flag indicating if there was explicit opt-in by this phone number in our database |\n| CreationDate | Date when the record was created |\n| LastUpdateDate | Date when the record was last updated |\n| Lawsuits.Number | Number of lawsuit |\n| Lawsuits.Type | Type of lawsuit |\n| Lawsuits.MainSubject | Main subject |\n| Lawsuits.CourtName | Court name |\n| Lawsuits.CourtLevel | Court level |\n| Lawsuits.Status | Status |\n| Lawsuits.CourtType | Court type |\n| Lawsuits.JudgingBody | Judging Body |\n| Lawsuits.NumberOfVolumes | Number of volumes\t\t |\n| Lawsuits.NumberOfPages | Number of pages\t\t\t |\n| Lawsuits.CourtDistrict | Court district\t\t |\n| Lawsuits.State | State |\n| Lawsuits.Value | Value |\n| Lawsuits.PublicationDate | Publication date |\n| Lawsuits.NoticeDate | Notice date |\n| Lawsuits.CaptureDate | Capture date |\n| Lawsuits.LastUpdate | Last update date |\n| Lawsuits.Parties | Parties |\n| Lawsuits.Parties.Doc | Document number |\n| Lawsuits.Parties.Name | Name |\n| Lawsuits.Parties.Polarity| Polarity |\n| Lawsuits.Parties.Type | Type |\n| Lawsuits.Parties.PartyDetails| Details |\n| Lawsuits.Updates | Updates |\n| Lawsuits.Updates.Content | Content |\n| Lawsuits.Updates.PublishDate| Publish date |\n| Lawsuits.Updates.CaptureDate| Capture date |\n| Lawsuit.Petitions\t\t\t\t| Petitions list|\n| Lawsuit.Petitions.Type\t\t| Petition type |\n| Lawsuit.Petitions.Author\t\t| Petition's author |\n| Lawsuit.Petitions.CreationDate| Creation date |\n| Lawsuit.Petitions.JoinedDate\t| Joined date |\n| TotalLawsuits | Total lawsuits |\n| TotalLawsuitsAsAuthor | Total lawsuits as author |\n| TotalLawsuitsAsDefendant | Total lawsuits as defendant |\n| TotalProfessions | Total number of jobs the person has held |\n| TotalActiveProfessions | Total number of jobs the person currently holds |\n| TotalIncome | Total income calculated for this person, as a fixed value |\n| IsEmployed | Flag indicating if the person is currently employed or not |\n| Professions\t\t\t\t | List of objects with all the work details found |\n| Professions.Sector | Company sector (PRIVATE / PUBLIC / etc.) |\n| Professions.Country | Country where the person works |\n| Professions.CompanyIdNumber | Tax Id number for the company where the person works |\n| Professions.CompanyName | Name of the company where the person works |\n| Professions.Area | Area (marketing, sales, etc) where the person works |\n| Professions.Level | Person's job or role. Only filled out when available. Values are non-standardized |\n| Professions.Status | Status for this employment record. (ACTIVE / INACTIVE) |\n| Professions.Income | Estimated monthly income for this person coming from this job |\n| Professions.Rating\t\t | Person's rating on listings (when available). |\n| Professions.DeclaredSkills\t| List of skills the person claims to have\t |\n| Professions.DeclaredInterests | List of interests the person has declared |\n| Professions.StartDate\t\t\t| Date when the person was hired or started working\t |\n| Professions.EndDate\t\t\t| Date when the person was fired or stopped working\t |\n| Professions.CreationDate | Date when this record was created |\n| Professions.LastUpdateDate | Date when this record was last updated |\n| TotalProfessions | Total number of jobs the person has held |\n| TotalActiveProfessions | Total number of jobs the person currently holds |\n| TotalIncome | Total income calculated for this person, as a fixed value |\n| IsEmployed | Flag indicating if the person is currently employed or not |\n| Professions\t\t\t\t | List of objects with all the work details found |\n| Professions.Sector | Company sector (PRIVATE / PUBLIC / etc.) |\n| Professions.Country | Country where the person works |\n| Professions.CompanyIdNumber | Tax Id number for the company where the person works |\n| Professions.CompanyName | Name of the company where the person works |\n| Professions.Area | Area (marketing, sales, etc) where the person works |\n| Professions.Level | Person's job or role. Only filled out when available. Values are non-standardized |\n| Professions.Status | Status for this employment record. (ACTIVE / INACTIVE) |\n| Professions.Income | Estimated monthly income for this person coming from this job |\n| Professions.Rating\t\t | Person's rating on listings (when available). |\n| Professions.DeclaredSkills\t| List of skills the person claims to have\t |\n| Professions.DeclaredInterests | List of interests the person has declared |\n| Professions.StartDate\t\t\t| Date when the person was hired or started working\t |\n| Professions.EndDate\t\t\t| Date when the person was fired or stopped working\t |\n| Professions.CreationDate | Date when this record was created |\n| Professions.LastUpdateDate | Date when this record was last updated |\n| TotalRelationships | Total relationships |\n| TotalRelatives | Total family relationships |\n| TotalNeighbors | Total neighbor relationships |\n| TotalSpouses | Total marriage relationships |\n| TotalCoworkers | Total co-worker relationships |\n| TotalHousehold | Total people living in the same address |\n| TotalPartners | Total business partner relationships |\n| PersonalRelationships | List of objects with detailed information about each relationship |\n| PersonalRelationships.RelatedEntityTaxIdNumber | Id number for the entity with whom the relationship exists |\n| PersonalRelationships.RelatedEntityTaxIdType | Type of the id number of the related entity |\n| PersonalRelationships.RelatedEntityTaxIdCountry | Country of the id number of the related entity |\n| PersonalRelationships.RelatedEntityName | Name of the related entity |\n| PersonalRelationships.RelationshipType | Relationship type (see below) |\n| PersonalRelationships.RelationshipLevel | Relationship level (direct, indirect) |\n| PersonalRelationships.RelationshipStartDate\t | Date when the relationship started\t\t\t\t\t | \n| PersonalRelationships.RelationshipEndDate\t\t | Data when the relationship ended\t\t\t\t\t |\n| PersonalRelationships.CreationDate | Creation date for this record |\n| PersonalRelationships.LastUpdateDate | Last update date for this record |\n| TotalAssistances | Total number of times the person has received assistance in their life |\n| TotalActiveAssistances | Total assistances the person is currently receiving |\n| IsReceivingAssistance | Flag saying if the person is currently receiving some assistance or not |\n| TotalIncome | Total income currently being received through the various programs |\n| TotalAmountReceived | Total ammount received throughout all the assistances the person has received in their life |\n| TotalInstallmentsReceived | Total number of installments for all of the different assistances that the person received |\n| SocialAssistances | List of objects detailing past and current social assistances the person has received |\n| CreationDate | Date when this record was created |\n| LastUpdateDate | Date when this record was last updated |\n| SocialAssistances.ProgramName \t | Name of the social assistance program |\n| SocialAssistances.ProgramCountry \t | Country where the person registered for assistance |\n| SocialAssistances.ProgramState \t | State where the person registered for assistance |\n| SocialAssistances.AssistanceStartDate \t | Date when the person started receiving their benefits |\n| SocialAssistances.AssistanceEndDate\t\t | Date when the person stopped receiving their benefits |\n| SocialAssistances.AssistanceAmount \t | Anount of money the person receives per month |\n| SocialAssistances.TotalInstallments\t\t | Total number of installments the person has received so far |\n| SocialAssistances.AssistanceDetails \t | Additional details which may be hidden or diguised |\n| SocialAssistances.AssistanceDetails.County | County where the person lives |\n| ScholarshipHistory.Level | Level of education underway |\n| ScholarshipHistory.Institution | Institution name |\n| ScholarshipHistory.SpecializationArea | Specialization Area |\n| ScholarshipHistory.StartYear | Starting year |\n| ScholarshipHistory.EndYear | Ending year |\n| PublicationHistory | History of publications |\n| ScholarshipLevel | Education level |\n| IsUniversityStudent | Indicates whether the student is an undergrad |\n| CreationDate | Creation date |\n| LastUpdateDate | Last update date |\n| Category | Vehicle category |\n| Brand | Vehicle brand |\n| Model | Vehicle model / make |\n| FipeCode | FIPE code for the vehicle |\n| ModelYear | Year of the vehicle model |\n| FuelType | Type of fuel the vehicle takes |\n| AvgPrice | Average price (in all ads) for the vehicle |\n| ReferenceMonth | Reference month for the FIPE table entry |\n| ReferenceYear | Reference year for the FIPE table entry |\n| CreationDate | Creation date for this record |\n| LastUpdateDate | Last update date for this record |\n\n\nWith the fields above you can identify the meaning of each parameter.\n"},"response":[{"id":"565c879b-464c-4f1f-9882-b50d2adf9f17","name":"ID 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\"9999-12-31T23:59:59.9999999\",\r\n \"LastUpdateDate\": \"0001-01-01T00:00:00\"\r\n },\r\n \"InterestsAndBehaviors\": {\r\n \"Behaviors\": {\r\n \"ProductReseller\": false,\r\n \"CreditCardScore\": \"A\",\r\n \"MilesProgram\": false,\r\n \"OnlineInvestor\": false\r\n },\r\n \"CategoriesOfInterest\": {\r\n \"Automotive\": 0,\r\n \"Baby\": 0,\r\n \"BeautyAndHealth\": 0,\r\n \"BeverageAndFood\": 0,\r\n \"Bodybuilding\": 0,\r\n \"Books\": 0,\r\n \"Computing\": 0,\r\n \"Delivery\": 0,\r\n \"Eletronics\": 0,\r\n \"Entertainment\": 0,\r\n \"FashionAndAcessories\": 0,\r\n \"Games\": 0,\r\n \"HomeAndDecoration\": 0.125,\r\n \"Housewares\": 0,\r\n \"MobileTelco\": 0,\r\n \"MusicalInstruments\": 0,\r\n \"Service\": 0,\r\n \"SportAndLeisure\": 0,\r\n \"Streaming\": 0,\r\n \"Toys\": 0,\r\n \"TravelAndTourism\": 0\r\n }\r\n },\r\n \"Passages\": {\r\n \"TotalPassages\": 11,\r\n \"BadPassages\": 0,\r\n \"CrawlingPassages\": -1,\r\n \"ValidationPassages\": -1,\r\n \"QueryPassages\": -1,\r\n \"MonthAveragePassages\": 0,\r\n \"NumberOfEmails\": 0,\r\n \"NumberOfPhones\": 0,\r\n \"NumberOfAddresses\": 0,\r\n \"FirstPassageDate\": \"2012-12-08T00:00:00Z\",\r\n \"LastPassageDate\": \"2016-12-22T00:00:00Z\"\r\n },\r\n \"FinantialData\": {\r\n \"TotalAssets\": \"100K A 250K\",\r\n \"TaxReturns\": [\r\n {\r\n \"Year\": \"2012\",\r\n \"Status\": \"IMPOSTO A PAGAR, SEM OPCAO POR DEBITO AUTOMATICO\",\r\n \"Bank\": \"\",\r\n \"Branch\": \"\",\r\n \"Batch\": \"\",\r\n \"IsVipBranch\": false,\r\n \"CaptureDate\": \"2013-05-10T00:00:00Z\",\r\n \"CreationDate\": \"2013-05-10T00:00:00Z\",\r\n \"LastUpdateDate\": \"2013-05-10T00:00:00Z\"\r\n },\r\n {\r\n \"Year\": \"2014\",\r\n \"Status\": \"IMPOSTO A PAGAR, COM SOLICITACAO DE DEBITO AUTOMATICO\",\r\n \"Bank\": \"\",\r\n \"Branch\": \"\",\r\n \"Batch\": \"\",\r\n \"IsVipBranch\": false,\r\n \"CaptureDate\": \"2014-11-02T00:00:00Z\",\r\n \"CreationDate\": \"2014-11-02T00:00:00Z\",\r\n \"LastUpdateDate\": \"2014-11-02T00:00:00Z\"\r\n },\r\n {\r\n \"Year\": \"2015\",\r\n \"Status\": \"IMPOSTO A PAGAR, COM SOLICITACAO DE DEBITO AUTOMATICO\",\r\n \"Bank\": \"\",\r\n \"Branch\": \"\",\r\n \"Batch\": \"\",\r\n \"IsVipBranch\": false,\r\n \"CaptureDate\": \"2015-11-02T00:00:00Z\",\r\n \"CreationDate\": \"2015-11-02T00:00:00Z\",\r\n \"LastUpdateDate\": \"2015-11-02T00:00:00Z\"\r\n },\r\n {\r\n \"Year\": \"2016\",\r\n \"Status\": \"IMPOSTO A PAGAR\",\r\n \"Bank\": \"\",\r\n \"Branch\": \"\",\r\n \"Batch\": \"\",\r\n \"IsVipBranch\": false,\r\n \"CaptureDate\": \"2017-04-23T00:00:00Z\",\r\n \"CreationDate\": \"2017-04-23T00:00:00Z\",\r\n \"LastUpdateDate\": \"2017-04-23T00:00:00Z\"\r\n },\r\n {\r\n \"Year\": \"2017\",\r\n \"Status\": \"IMPOSTO A PAGAR\",\r\n \"Bank\": \"\",\r\n \"Branch\": \"\",\r\n \"Batch\": \"\",\r\n \"IsVipBranch\": false,\r\n \"CaptureDate\": \"2018-02-02T00:00:00Z\",\r\n \"CreationDate\": \"2018-02-02T00:00:00Z\",\r\n \"LastUpdateDate\": \"2018-02-02T00:00:00Z\"\r\n },\r\n {\r\n \"Year\": \"2018\",\r\n \"Status\": \"SUA DECLARA??O J? FOI PROCESSADA.\",\r\n \"Bank\": \"\",\r\n \"Branch\": \"0000\",\r\n \"Batch\": \"000\",\r\n \"IsVipBranch\": false,\r\n \"CaptureDate\": \"2019-06-20T00:00:00Z\",\r\n \"CreationDate\": \"2019-06-20T00:00:00Z\",\r\n \"LastUpdateDate\": \"2019-06-20T00:00:00Z\"\r\n }\r\n ],\r\n \"IncomeEstimates\": {\r\n \"COMPANY OWNERSHIP\": \"SEM INFORMACAO\",\r\n \"MTE\": \"4 A 10 SM\",\r\n \"IBGE\": \"SEM INFORMACAO\",\r\n \"BIGDATA\": \"4 A 10 SM\"\r\n },\r\n \"CreationDate\": \"2016-08-23T00:00:00Z\",\r\n \"LastUpdateDate\": \"2019-06-17T00:00:00Z\"\r\n },\r\n \"OnlinePresence\": {\r\n \"Eshopper\": \"A\",\r\n \"Eseller\": \"H\",\r\n \"InternetUsageLevel\": \"A\",\r\n \"WebPassages\": -1,\r\n \"CreationDate\": \"2016-08-23T00:00:00Z\",\r\n \"LastUpdateDate\": \"2019-06-17T00:00:00Z\"\r\n },\r\n \"ProfessionData\": {\r\n \"Professions\": [\r\n {\r\n \"Sector\": \"PRIVATE - 6422100\",\r\n \"Country\": \"BRAZIL\",\r\n \"CompanyIdNumber\": \"01701201033192\",\r\n \"CompanyName\": \"KIRTON BANK S.A. - BANCO MULTIPLO\",\r\n \"Area\": \"UNKNOWN\",\r\n \"Level\": \"UNKNOWN\",\r\n \"Status\": \"INACTIVE\",\r\n \"IncomeRange\": \"SEM INFORMACAO\",\r\n \"Income\": 0,\r\n \"StartDate\": \"2009-06-15T00:00:00Z\",\r\n \"EndDate\": \"2017-09-30T00:00:00Z\",\r\n \"CreationDate\": \"2017-08-02T00:00:00Z\",\r\n \"LastUpdateDate\": \"2017-08-02T00:00:00Z\"\r\n },\r\n {\r\n \"Sector\": \"PRIVATE - 6422100\",\r\n \"Country\": \"BRAZIL\",\r\n \"CompanyIdNumber\": \"60746948854677\",\r\n \"CompanyName\": \"BANCO BRADESCO S.A.\",\r\n \"Area\": \"UNKNOWN\",\r\n \"Level\": \"UNKNOWN\",\r\n \"Status\": \"ACTIVE\",\r\n \"IncomeRange\": \"4 A 10 SM\",\r\n \"Income\": 7000,\r\n \"StartDate\": \"2016-10-01T00:00:00Z\",\r\n \"EndDate\": \"0001-01-01T00:00:00Z\",\r\n \"CreationDate\": \"2018-01-27T00:00:00Z\",\r\n \"LastUpdateDate\": \"2018-01-27T00:00:00Z\"\r\n }\r\n ],\r\n \"TotalProfessions\": 2,\r\n \"TotalActiveProfessions\": 1,\r\n \"TotalIncome\": 7000,\r\n \"TotalIncomeRange\": \"4 A 10 SM\",\r\n \"IsEmployed\": true\r\n },\r\n \"KycData\": {\r\n \"PEPHistory\": [],\r\n \"IsCurrentlyPEP\": false,\r\n \"SanctionsHistory\": [\r\n {\r\n \"Source\": \"ofac\",\r\n \"Type\": \"Money Laundering\",\r\n \"MatchRate\": 58,\r\n \"NameUniquenessScore\": 0.001,\r\n \"Details\": {\r\n \"OriginalName\": \"MARIA HELENA DE OLIVEIRA\",\r\n \"SanctionName\": \"Maria Helena TRUJILLO MOLINA\",\r\n \"SanctionAliases|MatchRate\": \"Maria Elena TRUJILLO MOLINA|53\"\r\n },\r\n \"StartDate\": \"0001-01-01T00:00:00\",\r\n \"EndDate\": \"9999-12-31T23:59:59.9999999\",\r\n \"CreationDate\": \"2019-09-03T07:01:11.857Z\",\r\n \"LastUpdateDate\": \"2019-08-30T03:00:00Z\"\r\n },\r\n {\r\n \"Source\": \"ofac\",\r\n \"Type\": \"Money Laundering\",\r\n \"MatchRate\": 56,\r\n \"NameUniquenessScore\": 0.001,\r\n \"Details\": {\r\n \"OriginalName\": \"MARIA HELENA DE OLIVEIRA\",\r\n \"SanctionName\": \"Maria Helena RUIZ CASTANO\"\r\n },\r\n \"StartDate\": \"0001-01-01T00:00:00\",\r\n \"EndDate\": \"9999-12-31T23:59:59.9999999\",\r\n \"CreationDate\": \"2019-09-03T07:00:05.621Z\",\r\n \"LastUpdateDate\": \"2019-08-30T03:00:00Z\"\r\n },\r\n {\r\n \"Source\": \"ofac\",\r\n \"Type\": \"Money Laundering\",\r\n \"MatchRate\": 53,\r\n \"NameUniquenessScore\": 0.001,\r\n \"Details\": {\r\n \"OriginalName\": \"MARIA HELENA DE OLIVEIRA\",\r\n \"SanctionName\": \"Maria Elena GAXIOLA GARCIA\"\r\n },\r\n \"StartDate\": \"0001-01-01T00:00:00\",\r\n \"EndDate\": \"9999-12-31T23:59:59.9999999\",\r\n \"CreationDate\": \"2019-09-03T07:02:12.992Z\",\r\n \"LastUpdateDate\": \"2019-08-30T03:00:00Z\"\r\n },\r\n {\r\n \"Source\": \"ofac\",\r\n \"Type\": \"Money Laundering\",\r\n \"MatchRate\": 52,\r\n \"NameUniquenessScore\": 0.001,\r\n \"Details\": {\r\n \"OriginalName\": \"MARIA HELENA DE OLIVEIRA\",\r\n \"SanctionName\": \"Maria Nohelio HENAO HINESTROZA\"\r\n },\r\n \"StartDate\": \"0001-01-01T00:00:00\",\r\n \"EndDate\": \"9999-12-31T23:59:59.9999999\",\r\n \"CreationDate\": \"2019-09-03T07:00:05.621Z\",\r\n \"LastUpdateDate\": \"2019-08-30T03:00:00Z\"\r\n },\r\n {\r\n \"Source\": \"fbi\",\r\n \"Type\": \"Law Enforcement\",\r\n \"MatchRate\": 51,\r\n \"NameUniquenessScore\": 0.001,\r\n \"Details\": {\r\n \"OriginalName\": \"MARIA HELENA DE OLIVEIRA\",\r\n \"SanctionName\": \"MARIA BELEN FRANCESCONI\",\r\n \"SanctionAliases|MatchRate\": \"MARY BETHLEHEM|13\",\r\n \"Nationalities\": \"ARGENTINIAN\",\r\n \"description\": \"international parental kidnapping\",\r\n \"hair\": \"brown\",\r\n \"eyes\": \"blue\",\r\n \"height\": \"5'5\\\"\",\r\n \"weight\": \"110 pounds\",\r\n \"race\": \"white (hispanic)\",\r\n \"occupation\": \"chef\",\r\n \"scars_and_marks\": \"francesconi has tattoos on her back, lower abdomen, and right ankle.\",\r\n \"ncic\": \"w547700968\",\r\n \"remarks\": \"francesconi enjoys fine cuisine. she may display erratic behavior. francesconi speaks english, spanish and italian fluently. francesconi has dual citizenship in argentina and italy. she has ties to italy, argentina, possibly ecuador, and countries surrounding argentina. she is believed to be in argentina.\",\r\n \"details\": \"maria belen francesconi is wanted for her alleged involvement in the kidnapping of her son, michael alexander reyes, from miami, florida. francesconi no longer has legal custody of michael.\",\r\n \"status\": \"parental kinapper\",\r\n \"image\": \"https://www.fbi.gov/wanted/parental-kidnappings/maria-belen-francesconi/@@images/image/thumb;https://www.fbi.gov/wanted/parental-kidnappings/maria-belen-francesconi/francesconi_mb2.jpg/@@images/image/thumb\"\r\n },\r\n \"StartDate\": \"0001-01-01T00:00:00\",\r\n \"EndDate\": \"9999-12-31T23:59:59.9999999\",\r\n \"CreationDate\": \"2019-09-03T07:02:06.831Z\",\r\n \"LastUpdateDate\": \"0001-01-01T00:00:00\"\r\n },\r\n {\r\n \"Source\": \"interpol\",\r\n \"Type\": \"Law Enforcement\",\r\n \"MatchRate\": 51,\r\n \"NameUniquenessScore\": 0.001,\r\n \"Details\": {\r\n \"OriginalName\": \"MARIA HELENA DE OLIVEIRA\",\r\n \"SanctionName\": \"MARIA LAURA FINIZZOLA\",\r\n \"Nationalities\": \"ARGENTINA\",\r\n \"language_spoken\": \"spanish\",\r\n \"charges\": \"international drug trafficking\"\r\n },\r\n \"StartDate\": \"0001-01-01T00:00:00\",\r\n \"EndDate\": \"9999-12-31T23:59:59.9999999\",\r\n \"CreationDate\": \"2019-03-06T07:03:42.266Z\",\r\n \"LastUpdateDate\": \"0001-01-01T00:00:00\"\r\n },\r\n {\r\n \"Source\": \"interpol\",\r\n \"Type\": \"Law Enforcement\",\r\n \"MatchRate\": 51,\r\n \"NameUniquenessScore\": 0.001,\r\n \"Details\": {\r\n \"OriginalName\": \"MARIA HELENA DE OLIVEIRA\",\r\n \"SanctionName\": \"MARIA ANTONIA LIMA\",\r\n \"Nationalities\": \"GUATEMALA\",\r\n \"language_spoken\": \"spanish\",\r\n \"hair_color\": \"black\",\r\n \"eyes_color\": \"black\",\r\n \"charges\": \"actos preparatorios, proposicion, conspiracion y asociaciones delictivas.\",\r\n \"image\": \"http://www.interpol.int/var/interpol/cache/ws/2019-17184/wanted-getpicture-60555300.jpg\"\r\n },\r\n \"StartDate\": \"0001-01-01T00:00:00\",\r\n \"EndDate\": \"9999-12-31T23:59:59.9999999\",\r\n \"CreationDate\": \"2019-03-06T07:09:41.823Z\",\r\n \"LastUpdateDate\": \"0001-01-01T00:00:00\"\r\n },\r\n {\r\n \"Source\": \"ofac\",\r\n \"Type\": \"Money Laundering\",\r\n \"MatchRate\": 51,\r\n \"NameUniquenessScore\": 0.001,\r\n \"Details\": {\r\n \"OriginalName\": \"MARIA HELENA DE OLIVEIRA\",\r\n \"SanctionName\": \"Maria Norby SERNA\",\r\n \"SanctionAliases|MatchRate\": \"Maria Norbi SERNA DE PEREZ|50\"\r\n },\r\n \"StartDate\": \"0001-01-01T00:00:00\",\r\n \"EndDate\": \"9999-12-31T23:59:59.9999999\",\r\n \"CreationDate\": \"2019-09-03T07:00:05.621Z\",\r\n \"LastUpdateDate\": \"2019-08-30T03:00:00Z\"\r\n },\r\n {\r\n \"Source\": \"ofac\",\r\n \"Type\": \"Money Laundering\",\r\n \"MatchRate\": 51,\r\n \"NameUniquenessScore\": 0.001,\r\n \"Details\": {\r\n \"OriginalName\": \"MARIA HELENA DE OLIVEIRA\",\r\n \"SanctionName\": \"Maria Diocelina VALENCIA DE JARAMILLO\"\r\n },\r\n \"StartDate\": \"0001-01-01T00:00:00\",\r\n \"EndDate\": \"9999-12-31T23:59:59.9999999\",\r\n \"CreationDate\": \"2019-09-03T07:00:05.621Z\",\r\n \"LastUpdateDate\": \"2019-08-30T03:00:00Z\"\r\n },\r\n {\r\n \"Source\": \"ofac\",\r\n \"Type\": \"Money Laundering\",\r\n \"MatchRate\": 51,\r\n \"NameUniquenessScore\": 0.001,\r\n \"Details\": {\r\n \"OriginalName\": \"MARIA HELENA DE OLIVEIRA\",\r\n \"SanctionName\": \"Maria Elda HERNANDEZ PULIDO\"\r\n },\r\n \"StartDate\": \"0001-01-01T00:00:00\",\r\n \"EndDate\": \"9999-12-31T23:59:59.9999999\",\r\n \"CreationDate\": \"2019-09-03T07:00:05.621Z\",\r\n \"LastUpdateDate\": \"2019-08-30T03:00:00Z\"\r\n },\r\n {\r\n \"Source\": \"ofac\",\r\n \"Type\": \"Money Laundering\",\r\n \"MatchRate\": 51,\r\n \"NameUniquenessScore\": 0.001,\r\n \"Details\": {\r\n \"OriginalName\": \"MARIA HELENA DE OLIVEIRA\",\r\n \"SanctionName\": \"Maria Soledad IPARRAGUIRRE GUENECHEA\",\r\n \"remarks\": \"member eta\"\r\n },\r\n \"StartDate\": \"0001-01-01T00:00:00\",\r\n \"EndDate\": \"9999-12-31T23:59:59.9999999\",\r\n \"CreationDate\": \"2019-09-03T07:00:05.621Z\",\r\n \"LastUpdateDate\": \"2019-08-30T03:00:00Z\"\r\n },\r\n {\r\n \"Source\": \"ofac\",\r\n \"Type\": \"Money Laundering\",\r\n \"MatchRate\": 51,\r\n \"NameUniquenessScore\": 0.001,\r\n \"Details\": {\r\n \"OriginalName\": \"MARIA HELENA DE OLIVEIRA\",\r\n \"SanctionName\": \"Maria Elizabeth ELENES LERMA\",\r\n \"SanctionAliases|MatchRate\": \"Elizabeth ELENES DE CARO|27\",\r\n \"remarks\": \"(linked to: hacienda las limas, s.a. de c.v.; linked to: taxi aereo nacional de culiacan, s.a.; linked to: villas del colli s.a. de c.v.)\"\r\n },\r\n \"StartDate\": \"0001-01-01T00:00:00\",\r\n \"EndDate\": \"9999-12-31T23:59:59.9999999\",\r\n \"CreationDate\": \"2019-09-03T07:03:08.855Z\",\r\n \"LastUpdateDate\": \"2019-08-30T03:00:00Z\"\r\n },\r\n {\r\n \"Source\": \"interpol\",\r\n \"Type\": \"Law Enforcement\",\r\n \"MatchRate\": 50,\r\n \"NameUniquenessScore\": 0.001,\r\n \"Details\": {\r\n \"OriginalName\": \"MARIA HELENA DE OLIVEIRA\",\r\n \"SanctionName\": \"MARIA EUGÊNIA OLMES GARCIA\",\r\n \"Nationalities\": \"CUBA\",\r\n \"charges\": \"criminal association\\nmoney laundering\",\r\n \"image\": \"http://www.interpol.int/var/interpol/cache/ws/2017-198995/wanted-getpicture-60092481.jpg\"\r\n },\r\n \"StartDate\": \"0001-01-01T00:00:00\",\r\n \"EndDate\": \"9999-12-31T23:59:59.9999999\",\r\n \"CreationDate\": \"2019-03-06T07:01:10.294Z\",\r\n \"LastUpdateDate\": \"0001-01-01T00:00:00\"\r\n },\r\n {\r\n \"Source\": \"interpol\",\r\n \"Type\": \"Law Enforcement\",\r\n \"MatchRate\": 50,\r\n \"NameUniquenessScore\": 0.001,\r\n \"Details\": {\r\n \"OriginalName\": \"MARIA HELENA DE OLIVEIRA\",\r\n \"SanctionName\": \"MARIA IVONETE YAMAGUTI DUTRA\",\r\n \"Nationalities\": \"BRAZIL\",\r\n \"language_spoken\": \"portuguese\",\r\n \"charges\": \"larceny against public entity.\",\r\n \"image\": \"http://www.interpol.int/var/interpol/cache/ws/2018-97425/wanted-getpicture-60500673.jpg\"\r\n },\r\n \"StartDate\": \"0001-01-01T00:00:00\",\r\n \"EndDate\": \"9999-12-31T23:59:59.9999999\",\r\n \"CreationDate\": \"2019-03-06T07:05:10.748Z\",\r\n \"LastUpdateDate\": \"0001-01-01T00:00:00\"\r\n },\r\n {\r\n \"Source\": \"ofac\",\r\n \"Type\": \"Money Laundering\",\r\n \"MatchRate\": 50,\r\n \"NameUniquenessScore\": 0.001,\r\n \"Details\": {\r\n \"OriginalName\": \"MARIA HELENA DE OLIVEIRA\",\r\n \"SanctionName\": \"Maria Deisy VILLEGAS ARIAS\",\r\n \"SanctionAliases|MatchRate\": \"Maria Deicy VILLEGAS ARIAS|50\"\r\n },\r\n \"StartDate\": \"0001-01-01T00:00:00\",\r\n \"EndDate\": \"9999-12-31T23:59:59.9999999\",\r\n \"CreationDate\": \"2019-09-03T07:00:05.621Z\",\r\n \"LastUpdateDate\": \"2019-08-30T03:00:00Z\"\r\n },\r\n {\r\n \"Source\": \"ofac\",\r\n \"Type\": \"Money Laundering\",\r\n \"MatchRate\": 50,\r\n \"NameUniquenessScore\": 0.001,\r\n \"Details\": {\r\n \"OriginalName\": \"MARIA HELENA DE OLIVEIRA\",\r\n \"SanctionName\": \"Maria Leivy MEJIA ALZATE\",\r\n \"remarks\": \"(linked to: canteras copacabana s.a.; linked to: promotora turistica sol plaza s.a.; linked to: asesoria y asistencia agropecuaria y ambiental a4)\"\r\n },\r\n \"StartDate\": \"0001-01-01T00:00:00\",\r\n \"EndDate\": \"9999-12-31T23:59:59.9999999\",\r\n \"CreationDate\": \"2019-09-03T07:03:08.855Z\",\r\n \"LastUpdateDate\": \"2019-08-30T03:00:00Z\"\r\n },\r\n {\r\n \"Source\": \"ofac\",\r\n \"Type\": \"Money Laundering\",\r\n \"MatchRate\": 50,\r\n \"NameUniquenessScore\": 0.001,\r\n \"Details\": {\r\n \"OriginalName\": \"MARIA HELENA DE OLIVEIRA\",\r\n \"SanctionName\": \"Maria Iris VARELA RANGEL\"\r\n },\r\n \"StartDate\": \"0001-01-01T00:00:00\",\r\n \"EndDate\": \"9999-12-31T23:59:59.9999999\",\r\n \"CreationDate\": \"2019-09-03T07:04:48.786Z\",\r\n \"LastUpdateDate\": \"2019-08-30T03:00:00Z\"\r\n },\r\n {\r\n \"Source\": \"ofac\",\r\n \"Type\": \"Money Laundering\",\r\n \"MatchRate\": 50,\r\n \"NameUniquenessScore\": 0.001,\r\n \"Details\": {\r\n \"OriginalName\": \"MARIA HELENA DE OLIVEIRA\",\r\n \"SanctionName\": \"Maria Anatolyevna BOVDA\",\r\n \"SanctionAliases|MatchRate\": \"Maria Anatolyevna BELYAEVA|50\",\r\n \"remarks\": \"(linked to: internet research agency llc)\"\r\n },\r\n \"StartDate\": \"0001-01-01T00:00:00\",\r\n \"EndDate\": \"9999-12-31T23:59:59.9999999\",\r\n \"CreationDate\": \"2019-09-03T07:05:58.236Z\",\r\n \"LastUpdateDate\": \"2019-08-30T03:00:00Z\"\r\n },\r\n {\r\n \"Source\": \"interpol\",\r\n \"Type\": \"Law Enforcement\",\r\n \"MatchRate\": 49,\r\n \"NameUniquenessScore\": 0.001,\r\n \"Details\": {\r\n \"OriginalName\": \"MARIA HELENA DE OLIVEIRA\",\r\n \"SanctionName\": \"MARIA ISABEL FERNANDES DE BRITES\",\r\n \"Nationalities\": \"PARAGUAY\",\r\n \"language_spoken\": \"spanish\",\r\n \"charges\": \"tráfico de estupefacientes asociación para el tráfico de estupefacientes\",\r\n \"image\": \"http://www.interpol.int/var/interpol/cache/ws/2012-330150/wanted-getpicture-57036403.jpg\"\r\n },\r\n \"StartDate\": \"0001-01-01T00:00:00\",\r\n \"EndDate\": \"9999-12-31T23:59:59.9999999\",\r\n \"CreationDate\": \"2019-03-06T07:09:20.467Z\",\r\n \"LastUpdateDate\": \"0001-01-01T00:00:00\"\r\n },\r\n {\r\n \"Source\": \"ofac\",\r\n \"Type\": \"Money Laundering\",\r\n \"MatchRate\": 49,\r\n \"NameUniquenessScore\": 0.001,\r\n \"Details\": {\r\n \"OriginalName\": \"MARIA HELENA DE OLIVEIRA\",\r\n \"SanctionName\": \"Maria del Carmen LONDONO DE UPEGUI\"\r\n },\r\n \"StartDate\": \"0001-01-01T00:00:00\",\r\n \"EndDate\": \"9999-12-31T23:59:59.9999999\",\r\n \"CreationDate\": \"2019-09-03T07:00:05.621Z\",\r\n \"LastUpdateDate\": \"2019-08-30T03:00:00Z\"\r\n },\r\n {\r\n \"Source\": \"ofac\",\r\n \"Type\": \"Money Laundering\",\r\n \"MatchRate\": 49,\r\n \"NameUniquenessScore\": 0.001,\r\n \"Details\": {\r\n \"OriginalName\": \"MARIA HELENA DE OLIVEIRA\",\r\n \"SanctionName\": \"Maria del Carmen POSSO DE LONDONO\"\r\n },\r\n \"StartDate\": \"0001-01-01T00:00:00\",\r\n \"EndDate\": \"9999-12-31T23:59:59.9999999\",\r\n \"CreationDate\": \"2019-09-03T07:00:05.621Z\",\r\n \"LastUpdateDate\": \"2019-08-30T03:00:00Z\"\r\n },\r\n {\r\n \"Source\": \"ofac\",\r\n \"Type\": \"Money Laundering\",\r\n \"MatchRate\": 49,\r\n \"NameUniquenessScore\": 0.001,\r\n \"Details\": {\r\n \"OriginalName\": \"MARIA HELENA DE OLIVEIRA\",\r\n \"SanctionName\": \"Maria GILMAN FRANCO\"\r\n },\r\n \"StartDate\": \"0001-01-01T00:00:00\",\r\n \"EndDate\": \"9999-12-31T23:59:59.9999999\",\r\n \"CreationDate\": \"2019-09-03T07:00:05.621Z\",\r\n \"LastUpdateDate\": \"2019-08-30T03:00:00Z\"\r\n },\r\n {\r\n \"Source\": \"ofac\",\r\n \"Type\": \"Money Laundering\",\r\n \"MatchRate\": 49,\r\n \"NameUniquenessScore\": 0.001,\r\n \"Details\": {\r\n \"OriginalName\": \"MARIA HELENA DE OLIVEIRA\",\r\n \"SanctionName\": \"Maria Nancy GRAJALES POSSO\"\r\n },\r\n \"StartDate\": \"0001-01-01T00:00:00\",\r\n \"EndDate\": \"9999-12-31T23:59:59.9999999\",\r\n \"CreationDate\": \"2019-09-03T07:01:11.842Z\",\r\n \"LastUpdateDate\": \"2019-08-30T03:00:00Z\"\r\n },\r\n {\r\n \"Source\": \"ofac\",\r\n \"Type\": \"Money Laundering\",\r\n \"MatchRate\": 49,\r\n \"NameUniquenessScore\": 0.001,\r\n \"Details\": {\r\n \"OriginalName\": \"MARIA HELENA DE OLIVEIRA\",\r\n \"SanctionName\": \"Maria Esperanza POSSO\"\r\n },\r\n \"StartDate\": \"0001-01-01T00:00:00\",\r\n \"EndDate\": \"9999-12-31T23:59:59.9999999\",\r\n \"CreationDate\": \"2019-09-03T07:01:11.842Z\",\r\n \"LastUpdateDate\": \"2019-08-30T03:00:00Z\"\r\n },\r\n {\r\n \"Source\": \"ofac\",\r\n \"Type\": \"Money Laundering\",\r\n \"MatchRate\": 49,\r\n \"NameUniquenessScore\": 0.001,\r\n \"Details\": {\r\n \"OriginalName\": \"MARIA HELENA DE OLIVEIRA\",\r\n \"SanctionName\": \"Maria Del Rosario GARCIA DURAN\"\r\n },\r\n \"StartDate\": \"0001-01-01T00:00:00\",\r\n \"EndDate\": \"9999-12-31T23:59:59.9999999\",\r\n \"CreationDate\": \"2019-09-03T07:02:12.992Z\",\r\n \"LastUpdateDate\": \"2019-08-30T03:00:00Z\"\r\n },\r\n {\r\n \"Source\": \"ofac\",\r\n \"Type\": \"Money Laundering\",\r\n \"MatchRate\": 49,\r\n \"NameUniquenessScore\": 0.001,\r\n \"Details\": {\r\n \"OriginalName\": \"MARIA HELENA DE OLIVEIRA\",\r\n \"SanctionName\": \"Maria del Carmen SUAZA BARCO\",\r\n \"SanctionAliases|MatchRate\": \"Carmen SUAZA BARCO|11\"\r\n },\r\n \"StartDate\": \"0001-01-01T00:00:00\",\r\n \"EndDate\": \"9999-12-31T23:59:59.9999999\",\r\n \"CreationDate\": \"2019-09-03T07:02:12.992Z\",\r\n \"LastUpdateDate\": \"2019-08-30T03:00:00Z\"\r\n },\r\n {\r\n \"Source\": \"ofac\",\r\n \"Type\": \"Money Laundering\",\r\n \"MatchRate\": 49,\r\n \"NameUniquenessScore\": 0.001,\r\n \"Details\": {\r\n \"OriginalName\": \"MARIA HELENA DE OLIVEIRA\",\r\n \"SanctionName\": \"Maria Alejandrina SALAZAR HERNANDEZ\",\r\n \"SanctionAliases|MatchRate\": \"Alejandrina SALAZAR DE GUZMAN|27;Maria SALAZAR HERNANDEZ DE GUZMAN|50;Alejandrina SALAZAR 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\"9999-12-31T23:59:59.9999999\",\r\n \"CreationDate\": \"2019-09-03T07:04:09.319Z\",\r\n \"LastUpdateDate\": \"2019-08-30T03:00:00Z\"\r\n },\r\n {\r\n \"Source\": \"ofac\",\r\n \"Type\": \"Money Laundering\",\r\n \"MatchRate\": 49,\r\n \"NameUniquenessScore\": 0.001,\r\n \"Details\": {\r\n \"OriginalName\": \"MARIA HELENA DE OLIVEIRA\",\r\n \"SanctionName\": \"Maria Icela CHAVEZ MARTINEZ\",\r\n \"SanctionAliases|MatchRate\": \"Maria Isela CHAVEZ MARTINEZ|49;Ma Isela CHAVEZ MARTINEZ|26\",\r\n \"remarks\": \"(linked to: flores drug trafficking organization; linked to: a & s carrier internacional, s.a. de c.v.; linked to: boungalows villa azul, s.a. de c.v.; linked to: club deportivo morumbi, asociacion civil)\"\r\n },\r\n \"StartDate\": \"0001-01-01T00:00:00\",\r\n \"EndDate\": \"9999-12-31T23:59:59.9999999\",\r\n \"CreationDate\": \"2019-09-03T07:04:48.786Z\",\r\n \"LastUpdateDate\": \"2019-08-30T03:00:00Z\"\r\n },\r\n {\r\n \"Source\": \"interpol\",\r\n \"Type\": \"Law Enforcement\",\r\n \"MatchRate\": 48,\r\n \"NameUniquenessScore\": 0.001,\r\n \"Details\": {\r\n \"OriginalName\": \"MARIA HELENA DE OLIVEIRA\",\r\n \"SanctionName\": \"MARIA FLORENCIA BRIDOUX TELLO\",\r\n \"Nationalities\": \"ARGENTINA\",\r\n \"charges\": \"homicidio culposo y lesiones culposas en concurso ideal\",\r\n \"image\": \"http://www.interpol.int/var/interpol/cache/ws/2016-61611/wanted-getpicture-59663953.jpg\"\r\n },\r\n \"StartDate\": \"0001-01-01T00:00:00\",\r\n \"EndDate\": \"9999-12-31T23:59:59.9999999\",\r\n \"CreationDate\": \"2019-03-06T07:02:05.735Z\",\r\n \"LastUpdateDate\": \"0001-01-01T00:00:00\"\r\n },\r\n {\r\n \"Source\": \"interpol\",\r\n \"Type\": \"Law Enforcement\",\r\n \"MatchRate\": 48,\r\n \"NameUniquenessScore\": 0.001,\r\n \"Details\": {\r\n \"OriginalName\": \"MARIA HELENA DE OLIVEIRA\",\r\n \"SanctionName\": \"MARIA KATHRINA KATLEEN MALIGRO MOUNTNEY\",\r\n \"Nationalities\": \"PHILIPPINES\",\r\n \"language_spoken\": \"tagalog, english\",\r\n 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},\r\n {\r\n \"Source\": \"ofac\",\r\n \"Type\": \"Money Laundering\",\r\n \"MatchRate\": 48,\r\n \"NameUniquenessScore\": 0.001,\r\n \"Details\": {\r\n \"OriginalName\": \"MARIA HELENA DE OLIVEIRA\",\r\n \"SanctionName\": \"Maria Gloria MAR SEM\"\r\n },\r\n \"StartDate\": \"0001-01-01T00:00:00\",\r\n \"EndDate\": \"9999-12-31T23:59:59.9999999\",\r\n \"CreationDate\": \"2019-09-03T07:01:11.857Z\",\r\n \"LastUpdateDate\": \"2019-08-30T03:00:00Z\"\r\n },\r\n {\r\n \"Source\": \"ofac\",\r\n \"Type\": \"Money Laundering\",\r\n \"MatchRate\": 48,\r\n \"NameUniquenessScore\": 0.001,\r\n \"Details\": {\r\n \"OriginalName\": \"MARIA HELENA DE OLIVEIRA\",\r\n \"SanctionName\": \"Maria Teresa ZAMBADA NIEBLA\"\r\n },\r\n \"StartDate\": \"0001-01-01T00:00:00\",\r\n \"EndDate\": \"9999-12-31T23:59:59.9999999\",\r\n \"CreationDate\": \"2019-09-03T07:01:11.857Z\",\r\n \"LastUpdateDate\": \"2019-08-30T03:00:00Z\"\r\n },\r\n {\r\n \"Source\": \"ofac\",\r\n \"Type\": \"Money Laundering\",\r\n \"MatchRate\": 48,\r\n \"NameUniquenessScore\": 0.001,\r\n \"Details\": {\r\n \"OriginalName\": \"MARIA HELENA DE OLIVEIRA\",\r\n \"SanctionName\": \"Maria Mercedes JIMENEZ URREGO\"\r\n },\r\n \"StartDate\": \"0001-01-01T00:00:00\",\r\n \"EndDate\": \"9999-12-31T23:59:59.9999999\",\r\n \"CreationDate\": \"2019-09-03T07:02:12.992Z\",\r\n \"LastUpdateDate\": \"2019-08-30T03:00:00Z\"\r\n },\r\n {\r\n \"Source\": \"ofac\",\r\n \"Type\": \"Money Laundering\",\r\n \"MatchRate\": 48,\r\n \"NameUniquenessScore\": 0.001,\r\n \"Details\": {\r\n \"OriginalName\": \"MARIA HELENA DE OLIVEIRA\",\r\n \"SanctionName\": \"Maria Guadalupe GASTELUM PAYAN\",\r\n \"remarks\": \"(linked to: grupo impergoza, s.a. de c.v.; linked to: desarrollos everest, s.a. de c.v.)\"\r\n },\r\n \"StartDate\": \"0001-01-01T00:00:00\",\r\n \"EndDate\": \"9999-12-31T23:59:59.9999999\",\r\n \"CreationDate\": \"2019-09-03T07:03:08.855Z\",\r\n \"LastUpdateDate\": \"2019-08-30T03:00:00Z\"\r\n },\r\n {\r\n \"Source\": \"ofac\",\r\n \"Type\": \"Money Laundering\",\r\n \"MatchRate\": 48,\r\n \"NameUniquenessScore\": 0.001,\r\n \"Details\": {\r\n \"OriginalName\": \"MARIA HELENA DE OLIVEIRA\",\r\n \"SanctionName\": \"Maria de Jesus ESPINOZA RODRIGUEZ\",\r\n \"remarks\": \"(linked to: ruelas torres drug trafficking organization)\"\r\n },\r\n \"StartDate\": \"0001-01-01T00:00:00\",\r\n \"EndDate\": \"9999-12-31T23:59:59.9999999\",\r\n \"CreationDate\": \"2019-09-03T07:04:09.319Z\",\r\n \"LastUpdateDate\": \"2019-08-30T03:00:00Z\"\r\n },\r\n {\r\n \"Source\": \"ofac\",\r\n \"Type\": \"Money Laundering\",\r\n \"MatchRate\": 48,\r\n \"NameUniquenessScore\": 0.001,\r\n \"Details\": {\r\n \"OriginalName\": \"MARIA HELENA DE OLIVEIRA\",\r\n \"SanctionName\": \"Maria Monserrat AVILA ROCHA\",\r\n \"SanctionAliases|MatchRate\": \"Maria Monserrate AVILA DE LA ROCHA|49;Maria Monserrate AVILA ROCHA|49\",\r\n \"remarks\": \"(linked to: ruelas torres drug trafficking organization)\"\r\n },\r\n \"StartDate\": \"0001-01-01T00:00:00\",\r\n \"EndDate\": \"9999-12-31T23:59:59.9999999\",\r\n \"CreationDate\": \"2019-09-03T07:04:48.786Z\",\r\n \"LastUpdateDate\": \"2019-08-30T03:00:00Z\"\r\n },\r\n {\r\n \"Source\": \"interpol\",\r\n \"Type\": \"Law Enforcement\",\r\n \"MatchRate\": 47,\r\n \"NameUniquenessScore\": 0.001,\r\n \"Details\": {\r\n \"OriginalName\": \"MARIA HELENA DE OLIVEIRA\",\r\n \"SanctionName\": \"MARIA JUSSARA DA CONCEIÇÃO FERREIRA SANTOS\",\r\n \"Nationalities\": \"BRAZIL\",\r\n \"language_spoken\": \"portuguese\",\r\n \"charges\": \"member of a criminal organization\",\r\n \"image\": \"http://www.interpol.int/var/interpol/cache/ws/2018-82582/wanted-getpicture-60462060.jpg\"\r\n },\r\n \"StartDate\": \"0001-01-01T00:00:00\",\r\n \"EndDate\": \"9999-12-31T23:59:59.9999999\",\r\n \"CreationDate\": \"2019-03-06T07:05:01.653Z\",\r\n \"LastUpdateDate\": \"0001-01-01T00:00:00\"\r\n },\r\n {\r\n \"Source\": \"ofac\",\r\n \"Type\": \"Money Laundering\",\r\n \"MatchRate\": 47,\r\n \"NameUniquenessScore\": 0.001,\r\n \"Details\": {\r\n \"OriginalName\": \"MARIA HELENA DE OLIVEIRA\",\r\n \"SanctionName\": \"Maria Leonor CASTRILLON CRUZ\"\r\n },\r\n \"StartDate\": \"0001-01-01T00:00:00\",\r\n \"EndDate\": \"9999-12-31T23:59:59.9999999\",\r\n \"CreationDate\": \"2019-09-03T07:00:05.621Z\",\r\n \"LastUpdateDate\": \"2019-08-30T03:00:00Z\"\r\n },\r\n {\r\n \"Source\": \"ofac\",\r\n \"Type\": \"Money Laundering\",\r\n \"MatchRate\": 47,\r\n \"NameUniquenessScore\": 0.001,\r\n \"Details\": {\r\n \"OriginalName\": \"MARIA HELENA DE OLIVEIRA\",\r\n \"SanctionName\": \"Maria Concepcion ZAMBRANO CERON\"\r\n },\r\n \"StartDate\": \"0001-01-01T00:00:00\",\r\n \"EndDate\": \"9999-12-31T23:59:59.9999999\",\r\n \"CreationDate\": \"2019-09-03T07:00:05.621Z\",\r\n \"LastUpdateDate\": \"2019-08-30T03:00:00Z\"\r\n },\r\n {\r\n \"Source\": \"ofac\",\r\n \"Type\": \"Money Laundering\",\r\n \"MatchRate\": 47,\r\n \"NameUniquenessScore\": 0.001,\r\n \"Details\": {\r\n \"OriginalName\": \"MARIA HELENA DE OLIVEIRA\",\r\n \"SanctionName\": \"Maria Antonieta FREGOSO AMEZQUITA\"\r\n },\r\n \"StartDate\": \"0001-01-01T00:00:00\",\r\n \"EndDate\": \"9999-12-31T23:59:59.9999999\",\r\n \"CreationDate\": \"2019-09-03T07:00:05.621Z\",\r\n \"LastUpdateDate\": \"2019-08-30T03:00:00Z\"\r\n },\r\n {\r\n \"Source\": \"ofac\",\r\n \"Type\": \"Money Laundering\",\r\n \"MatchRate\": 47,\r\n \"NameUniquenessScore\": 0.001,\r\n \"Details\": {\r\n \"OriginalName\": \"MARIA HELENA DE OLIVEIRA\",\r\n \"SanctionName\": \"Maria Teresa RESTREPO VICTORIA\"\r\n },\r\n \"StartDate\": \"0001-01-01T00:00:00\",\r\n \"EndDate\": \"9999-12-31T23:59:59.9999999\",\r\n \"CreationDate\": \"2019-09-03T07:01:11.842Z\",\r\n \"LastUpdateDate\": \"2019-08-30T03:00:00Z\"\r\n },\r\n {\r\n \"Source\": \"ofac\",\r\n \"Type\": \"Money Laundering\",\r\n \"MatchRate\": 47,\r\n \"NameUniquenessScore\": 0.001,\r\n \"Details\": {\r\n \"OriginalName\": \"MARIA HELENA DE OLIVEIRA\",\r\n \"SanctionName\": \"Maria Tiburcia CAZAREZ PEREZ\",\r\n \"SanctionAliases|MatchRate\": \"Maria Tiburcia CAZARES PEREZ|47\"\r\n },\r\n \"StartDate\": \"0001-01-01T00:00:00\",\r\n \"EndDate\": \"9999-12-31T23:59:59.9999999\",\r\n \"CreationDate\": \"2019-09-03T07:01:11.857Z\",\r\n \"LastUpdateDate\": \"2019-08-30T03:00:00Z\"\r\n },\r\n {\r\n \"Source\": \"ofac\",\r\n \"Type\": \"Money Laundering\",\r\n \"MatchRate\": 47,\r\n \"NameUniquenessScore\": 0.001,\r\n \"Details\": {\r\n \"OriginalName\": \"MARIA HELENA DE OLIVEIRA\",\r\n \"SanctionName\": \"Maria Remedios GARCIA ALBERT\",\r\n \"SanctionAliases|MatchRate\": \"SORAYA|0;IRENE|0\"\r\n },\r\n \"StartDate\": \"0001-01-01T00:00:00\",\r\n \"EndDate\": \"9999-12-31T23:59:59.9999999\",\r\n \"CreationDate\": \"2019-09-03T07:02:12.992Z\",\r\n \"LastUpdateDate\": \"2019-08-30T03:00:00Z\"\r\n },\r\n {\r\n \"Source\": \"ofac\",\r\n \"Type\": \"Money Laundering\",\r\n \"MatchRate\": 47,\r\n \"NameUniquenessScore\": 0.001,\r\n \"Details\": {\r\n \"OriginalName\": \"MARIA HELENA DE OLIVEIRA\",\r\n \"SanctionName\": \"Maria del Rosario ZEVALLOS GONZALES DE ARREDONDO\"\r\n },\r\n \"StartDate\": \"0001-01-01T00:00:00\",\r\n \"EndDate\": \"9999-12-31T23:59:59.9999999\",\r\n \"CreationDate\": \"2019-09-03T07:02:12.992Z\",\r\n \"LastUpdateDate\": \"2019-08-30T03:00:00Z\"\r\n },\r\n {\r\n \"Source\": \"ofac\",\r\n \"Type\": \"Money Laundering\",\r\n \"MatchRate\": 47,\r\n \"NameUniquenessScore\": 0.001,\r\n \"Details\": {\r\n \"OriginalName\": \"MARIA HELENA DE OLIVEIRA\",\r\n \"SanctionName\": \"Maria Marcela del Pilar PEREZ MONTERO\"\r\n },\r\n \"StartDate\": \"0001-01-01T00:00:00\",\r\n \"EndDate\": \"9999-12-31T23:59:59.9999999\",\r\n \"CreationDate\": \"2019-09-03T07:02:12.992Z\",\r\n \"LastUpdateDate\": \"2019-08-30T03:00:00Z\"\r\n },\r\n {\r\n \"Source\": \"ofac\",\r\n \"Type\": \"Money Laundering\",\r\n \"MatchRate\": 47,\r\n \"NameUniquenessScore\": 0.001,\r\n \"Details\": {\r\n \"OriginalName\": \"MARIA HELENA DE OLIVEIRA\",\r\n \"SanctionName\": \"Maria 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Dão dinheiro pra UNE ficar fazendo Oficina da xeca, mas não dão assistência para quem quer estudar.\",\r\n \"Author\": \"John Jonnnes\",\r\n \"PostDate\": \"2018-12-28T14:00:57Z\",\r\n \"Replies\": [\r\n {\r\n \"Comment\": \"Pega o doidoooooooo\",\r\n \"Author\": \"Janinha Maciel\",\r\n \"PostDate\": \"2018-12-28T16:35:45Z\"\r\n },\r\n {\r\n \"Comment\": \"Parabéns pelo seu esforço e pela sua gratidão à escola pública que lhe garantiu o caminho até harvard!\\nEspírito de gente honrada e valente!\",\r\n \"Author\": \"Rodrigo Torrealba\",\r\n \"PostDate\": \"2018-12-29T12:40:57Z\"\r\n }\r\n ]\r\n },\r\n {\r\n \"Comment\": \"ela ja conseguiu, mas quem puder contribuir pq despesas sempre aparecem do nada\",\r\n \"Author\": \"Gabriel Pizzol\",\r\n \"PostDate\": \"2018-12-29T01:49:28Z\"\r\n },\r\n {\r\n \"Comment\": \"SE FOSSE ARRECADAR PARA MUDANÇA DE SEXO JÁ TERIA CONSEGUIDO MAIS QUE O NECESSÁRIO.\",\r\n \"Author\": \"Qi Acimas\",\r\n \"PostDate\": \"2018-12-28T22:13:53Z\"\r\n },\r\n {\r\n \"Comment\": \"PARABÉNS , SUCESSO VOCE MERECE, EU VEJO QUE MUITAS PESSOAS TEM DINHEIRO E NÃO QUER ESTUDAR. E VOCE SEM DINHEIRO CHEGOU ONDE CHEGOU, MAIS UMA VEZ PARABÈNS.\",\r\n \"Author\": \"Ilton\",\r\n \"PostDate\": \"2018-12-28T20:22:19Z\"\r\n },\r\n {\r\n \"Comment\": \"E o governo pagava salário de 28 mil reais a agentes cubanos pra vigiar os \\\"médicos\\\" cubanos do Mais Médicos. Será que essa esquerda desejava ou deseja o bem de nosso povo e de nosso país????\",\r\n \"Author\": \"Marinaldo Abdon\",\r\n \"PostDate\": \"2018-12-28T14:23:06Z\",\r\n \"Replies\": [\r\n {\r\n \"Comment\": \"Tu fuma o que? A fórmula é tua mesmo? Bora ficar ricoooooo\",\r\n \"Author\": \"Janinha Maciel\",\r\n \"PostDate\": \"2018-12-28T16:35:11Z\"\r\n }\r\n ]\r\n },\r\n {\r\n \"Comment\": \"Senhores, observem que há uma reportagem a respeito da redução de homicídios e roubos no Rio de Janeiro com a intervenção. A pergunta é, será que isso não é importante, pois está num rodapé no fim da página do G1? será que não seria o caso de dar à intervenção o crédito que merece?? Será que é porque foram os militares que viabilizaram essa redução nops índices de criminalidade???\",\r\n \"Author\": \"Marinaldo Abdon\",\r\n \"PostDate\": \"2018-12-28T14:28:07Z\"\r\n },\r\n {\r\n \"Comment\": \"As alegrias vividas pela familia da Nathalia revelam a importancia da educação e o que ela significa para a vida numa sociedade do conhecimento. Parabens aos pais da Nathalia que souberam como agir para o melhor futuro da familia.\",\r\n \"Author\": \"Dilson Sarda\",\r\n \"PostDate\": \"2018-12-28T11:11:08Z\",\r\n \"Replies\": [\r\n {\r\n \"Comment\": \"Educação não é ideologia doentia.\",\r\n \"Author\": \"Marinaldo Abdon\",\r\n \"PostDate\": \"2018-12-28T14:20:56Z\"\r\n }\r\n ]\r\n },\r\n {\r\n \"Comment\": \"Cadê o link da vaquinha?! Ainda bem que falta pouco. 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0,\r\n \"TotalCompaniesOwned\": 0,\r\n \"TotalRelatedEntities\": 2,\r\n \"TotalPEPs\": 0,\r\n \"TotalPublicServants\": 0,\r\n \"TotalClassMembers\": 0,\r\n \"TotalLivingPeople\": 1,\r\n \"TotalDeceasedPeople\": 0,\r\n \"MinAge\": 46,\r\n \"MaxAge\": 46,\r\n \"AvgAge\": 46,\r\n \"MinNameUniqueness\": 0,\r\n \"MaxNameUniqueness\": 0,\r\n \"AvgNameUniqueness\": 0,\r\n \"CircleTotalIncomeRange\": \"4 A 10 SM\",\r\n \"EntitiesAvgIncomeRange\": \"4 A 10 SM\",\r\n \"EntitiesMaxIncomeRange\": \"4 A 10 SM\",\r\n \"EntitiesMinIncomeRange\": \"4 A 10 SM\",\r\n \"MinEducationLevel\": \"MEDIO COMPL\",\r\n \"AvgEducationLevel\": \"MEDIO COMPL\",\r\n \"MaxEducationLevel\": \"MEDIO COMPL\",\r\n \"AvgGeographicDistance\": -1,\r\n \"MaxGeographicDistance\": -1,\r\n \"MinGeographicDistance\": -1,\r\n \"MaxEShopperLevel\": \"A\",\r\n \"MinEShopperLevel\": \"A\",\r\n \"TotalEShopperLevel\": \"A\",\r\n \"MaxESellerLevel\": \"H\",\r\n \"MinESellerLevel\": \"H\",\r\n \"TotalESellerLevel\": \"H\",\r\n \"TotalLawsuits\": 0,\r\n \"TotalLawsuitsAsDefendant\": 0,\r\n \"TotalLawsuitsAsAuthor\": 0,\r\n \"TotalPassages\": 11,\r\n \"TotalBadPassages\": 0,\r\n \"MonthAveragePassages\": 0,\r\n \"FirstPassageDate\": \"2012-12-08T00:00:00Z\",\r\n \"LastPassageDate\": \"2016-12-22T00:00:00Z\",\r\n \"GenderDistribution\": {\r\n \"F\": 1,\r\n \"M\": 0,\r\n \"U\": 0\r\n },\r\n \"AgeRangeDistribution\": {\r\n \"SEM INFORMACAO\": 0,\r\n \"0-16\": 0,\r\n \"16-18\": 0,\r\n \"18-25\": 0,\r\n \"25-30\": 0,\r\n \"30-40\": 0,\r\n \"40-50\": 1,\r\n \"50-60\": 0,\r\n \"60-70\": 0,\r\n \"70+\": 0\r\n },\r\n \"IncomeRangeDistribution\": {\r\n \"SEM INFORMACAO\": 0,\r\n \"ATE 2 SM\": 0,\r\n \"2 A 4 SM\": 0,\r\n \"4 A 10 SM\": 1,\r\n \"10 A 20 SM\": 0,\r\n \"ACIMA DE 20 SM\": 0\r\n },\r\n \"EducationLevelDistribution\": {\r\n \"SEM INFORMACAO\": 0,\r\n \"ANALFABETO\": 0,\r\n \"ATE 5A INC\": 0,\r\n \"5A CO FUND\": 0,\r\n \"6 A 9 FUND\": 0,\r\n \"FUND COMPL\": 0,\r\n \"MEDIO INCOMP\": 0,\r\n \"MEDIO COMPL\": 1,\r\n \"SUP INCOMP\": 0,\r\n \"SUP COMP\": 0,\r\n \"MESTRADO\": 0,\r\n \"DOUTORADO\": 0\r\n },\r\n \"StateDistribution\": {\r\n \"AC\": 0,\r\n \"AL\": 0,\r\n \"AM\": 0,\r\n \"AP\": 0,\r\n \"BA\": 0,\r\n \"CE\": 0,\r\n \"DF\": 0,\r\n \"ES\": 0,\r\n \"GO\": 0,\r\n \"MA\": 0,\r\n \"MG\": 0,\r\n \"MS\": 0,\r\n \"MT\": 0,\r\n \"PA\": 0,\r\n \"PB\": 0,\r\n \"PE\": 0,\r\n \"PI\": 0,\r\n \"PR\": 1,\r\n \"RJ\": 0,\r\n \"RN\": 0,\r\n \"RO\": 0,\r\n \"RR\": 0,\r\n \"RS\": 0,\r\n \"SC\": 0,\r\n \"SE\": 0,\r\n \"SP\": 0,\r\n \"TO\": 0,\r\n \"EX\": 0\r\n },\r\n \"EShopperDistribution\": {\r\n \"H\": 0,\r\n \"G\": 0,\r\n \"F\": 0,\r\n \"E\": 0,\r\n \"D\": 0,\r\n \"C\": 0,\r\n \"B\": 0,\r\n \"A\": 1\r\n },\r\n \"ESellerDistribution\": {\r\n \"H\": 1,\r\n \"G\": 0,\r\n \"F\": 0,\r\n \"E\": 0,\r\n \"D\": 0,\r\n \"C\": 0,\r\n \"B\": 0,\r\n \"A\": 0\r\n },\r\n \"TaxIdStatusDistribution\": {\r\n \"Regular\": 1,\r\n \"PendenteDeRegularizacao\": 0,\r\n \"Suspensa\": 0,\r\n \"Cancelada\": 0,\r\n 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\"MaxGeographicDistance\": -1,\r\n \"MinGeographicDistance\": -1,\r\n \"MaxEShopperLevel\": \"A\",\r\n \"MinEShopperLevel\": \"A\",\r\n \"TotalEShopperLevel\": \"A\",\r\n \"MaxESellerLevel\": \"H\",\r\n \"MinESellerLevel\": \"H\",\r\n \"TotalESellerLevel\": \"H\",\r\n \"TotalLawsuits\": 0,\r\n \"TotalLawsuitsAsDefendant\": 0,\r\n \"TotalLawsuitsAsAuthor\": 0,\r\n \"TotalPassages\": 11,\r\n \"TotalBadPassages\": 0,\r\n \"MonthAveragePassages\": 0,\r\n \"FirstPassageDate\": \"2012-12-08T00:00:00Z\",\r\n \"LastPassageDate\": \"2016-12-22T00:00:00Z\",\r\n \"GenderDistribution\": {\r\n \"F\": 1,\r\n \"M\": 0,\r\n \"U\": 0\r\n },\r\n \"AgeRangeDistribution\": {\r\n \"SEM INFORMACAO\": 0,\r\n \"0-16\": 0,\r\n \"16-18\": 0,\r\n \"18-25\": 0,\r\n \"25-30\": 0,\r\n \"30-40\": 0,\r\n \"40-50\": 1,\r\n \"50-60\": 0,\r\n \"60-70\": 0,\r\n \"70+\": 0\r\n },\r\n \"IncomeRangeDistribution\": {\r\n \"SEM INFORMACAO\": 0,\r\n \"ATE 2 SM\": 0,\r\n \"2 A 4 SM\": 0,\r\n \"4 A 10 SM\": 1,\r\n \"10 A 20 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{\r\n \"H\": 1,\r\n \"G\": 0,\r\n \"F\": 0,\r\n \"E\": 0,\r\n \"D\": 0,\r\n \"C\": 0,\r\n \"B\": 0,\r\n \"A\": 0\r\n },\r\n \"TaxIdStatusDistribution\": {\r\n \"Regular\": 1,\r\n \"PendenteDeRegularizacao\": 0,\r\n \"Suspensa\": 0,\r\n \"Cancelada\": 0,\r\n \"TitularFalecido\": 0,\r\n \"Outros\": 0\r\n }\r\n },\r\n {\r\n \"CircleType\": \"LAWSUIT_PARTIES\",\r\n \"TotalEntities\": 1,\r\n \"TotalDistinctAddresses\": 4,\r\n \"TotalDistinctPhones\": 2,\r\n \"TotalDistinctEmails\": 1,\r\n \"TotalEmployedEntities\": 0,\r\n \"TotalCompaniesOwned\": 0,\r\n \"TotalRelatedEntities\": 2,\r\n \"TotalPEPs\": 0,\r\n \"TotalPublicServants\": 0,\r\n \"TotalClassMembers\": 0,\r\n \"TotalLivingPeople\": 1,\r\n \"TotalDeceasedPeople\": 0,\r\n \"MinAge\": 46,\r\n \"MaxAge\": 46,\r\n \"AvgAge\": 46,\r\n \"MinNameUniqueness\": 0,\r\n \"MaxNameUniqueness\": 0,\r\n \"AvgNameUniqueness\": 0,\r\n \"CircleTotalIncomeRange\": \"4 A 10 SM\",\r\n \"EntitiesAvgIncomeRange\": \"4 A 10 SM\",\r\n \"EntitiesMaxIncomeRange\": \"4 A 10 SM\",\r\n \"EntitiesMinIncomeRange\": \"4 A 10 SM\",\r\n \"MinEducationLevel\": \"MEDIO COMPL\",\r\n \"AvgEducationLevel\": \"MEDIO COMPL\",\r\n \"MaxEducationLevel\": \"MEDIO COMPL\",\r\n \"AvgGeographicDistance\": -1,\r\n \"MaxGeographicDistance\": -1,\r\n \"MinGeographicDistance\": -1,\r\n \"MaxEShopperLevel\": \"A\",\r\n \"MinEShopperLevel\": \"A\",\r\n \"TotalEShopperLevel\": \"A\",\r\n \"MaxESellerLevel\": \"H\",\r\n \"MinESellerLevel\": \"H\",\r\n \"TotalESellerLevel\": \"H\",\r\n \"TotalLawsuits\": 0,\r\n \"TotalLawsuitsAsDefendant\": 0,\r\n \"TotalLawsuitsAsAuthor\": 0,\r\n \"TotalPassages\": 11,\r\n \"TotalBadPassages\": 0,\r\n \"MonthAveragePassages\": 0,\r\n \"FirstPassageDate\": \"2012-12-08T00:00:00Z\",\r\n \"LastPassageDate\": \"2016-12-22T00:00:00Z\",\r\n \"GenderDistribution\": {\r\n \"F\": 1,\r\n \"M\": 0,\r\n \"U\": 0\r\n },\r\n \"AgeRangeDistribution\": {\r\n \"SEM INFORMACAO\": 0,\r\n \"0-16\": 0,\r\n \"16-18\": 0,\r\n \"18-25\": 0,\r\n \"25-30\": 0,\r\n \"30-40\": 0,\r\n \"40-50\": 1,\r\n \"50-60\": 0,\r\n \"60-70\": 0,\r\n \"70+\": 0\r\n },\r\n \"IncomeRangeDistribution\": {\r\n \"SEM INFORMACAO\": 0,\r\n \"ATE 2 SM\": 0,\r\n \"2 A 4 SM\": 0,\r\n \"4 A 10 SM\": 1,\r\n \"10 A 20 SM\": 0,\r\n \"ACIMA DE 20 SM\": 0\r\n },\r\n \"EducationLevelDistribution\": {\r\n \"SEM INFORMACAO\": 0,\r\n \"ANALFABETO\": 0,\r\n \"ATE 5A INC\": 0,\r\n \"5A CO FUND\": 0,\r\n \"6 A 9 FUND\": 0,\r\n \"FUND COMPL\": 0,\r\n \"MEDIO INCOMP\": 0,\r\n \"MEDIO COMPL\": 1,\r\n \"SUP INCOMP\": 0,\r\n \"SUP COMP\": 0,\r\n \"MESTRADO\": 0,\r\n \"DOUTORADO\": 0\r\n },\r\n \"StateDistribution\": {\r\n \"AC\": 0,\r\n \"AL\": 0,\r\n \"AM\": 0,\r\n \"AP\": 0,\r\n \"BA\": 0,\r\n \"CE\": 0,\r\n \"DF\": 0,\r\n \"ES\": 0,\r\n \"GO\": 0,\r\n \"MA\": 0,\r\n \"MG\": 0,\r\n \"MS\": 0,\r\n \"MT\": 0,\r\n \"PA\": 0,\r\n \"PB\": 0,\r\n \"PE\": 0,\r\n \"PI\": 0,\r\n \"PR\": 1,\r\n \"RJ\": 0,\r\n \"RN\": 0,\r\n \"RO\": 0,\r\n \"RR\": 0,\r\n \"RS\": 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\"MinAge\": 46,\r\n \"MaxAge\": 46,\r\n \"AvgAge\": 46,\r\n \"MinNameUniqueness\": 0,\r\n \"MaxNameUniqueness\": 0,\r\n \"AvgNameUniqueness\": 0,\r\n \"CircleTotalIncomeRange\": \"4 A 10 SM\",\r\n \"EntitiesAvgIncomeRange\": \"4 A 10 SM\",\r\n \"EntitiesMaxIncomeRange\": \"4 A 10 SM\",\r\n \"EntitiesMinIncomeRange\": \"4 A 10 SM\",\r\n \"MinEducationLevel\": \"MEDIO COMPL\",\r\n \"AvgEducationLevel\": \"MEDIO COMPL\",\r\n \"MaxEducationLevel\": \"MEDIO COMPL\",\r\n \"AvgGeographicDistance\": -1,\r\n \"MaxGeographicDistance\": -1,\r\n \"MinGeographicDistance\": -1,\r\n \"MaxEShopperLevel\": \"A\",\r\n \"MinEShopperLevel\": \"A\",\r\n \"TotalEShopperLevel\": \"A\",\r\n \"MaxESellerLevel\": \"H\",\r\n \"MinESellerLevel\": \"H\",\r\n \"TotalESellerLevel\": \"H\",\r\n \"TotalLawsuits\": 0,\r\n \"TotalLawsuitsAsDefendant\": 0,\r\n \"TotalLawsuitsAsAuthor\": 0,\r\n \"TotalPassages\": 11,\r\n \"TotalBadPassages\": 0,\r\n \"MonthAveragePassages\": 0,\r\n \"FirstPassageDate\": \"2012-12-08T00:00:00Z\",\r\n \"LastPassageDate\": \"2016-12-22T00:00:00Z\",\r\n \"GenderDistribution\": {\r\n \"F\": 1,\r\n \"M\": 0,\r\n \"U\": 0\r\n },\r\n \"AgeRangeDistribution\": {\r\n \"SEM INFORMACAO\": 0,\r\n \"0-16\": 0,\r\n \"16-18\": 0,\r\n \"18-25\": 0,\r\n \"25-30\": 0,\r\n \"30-40\": 0,\r\n \"40-50\": 1,\r\n \"50-60\": 0,\r\n \"60-70\": 0,\r\n \"70+\": 0\r\n },\r\n \"IncomeRangeDistribution\": {\r\n \"SEM INFORMACAO\": 0,\r\n \"ATE 2 SM\": 0,\r\n \"2 A 4 SM\": 0,\r\n \"4 A 10 SM\": 1,\r\n \"10 A 20 SM\": 0,\r\n \"ACIMA DE 20 SM\": 0\r\n },\r\n \"EducationLevelDistribution\": {\r\n \"SEM INFORMACAO\": 0,\r\n \"ANALFABETO\": 0,\r\n \"ATE 5A INC\": 0,\r\n \"5A CO FUND\": 0,\r\n \"6 A 9 FUND\": 0,\r\n \"FUND COMPL\": 0,\r\n \"MEDIO INCOMP\": 0,\r\n \"MEDIO COMPL\": 1,\r\n \"SUP INCOMP\": 0,\r\n \"SUP COMP\": 0,\r\n \"MESTRADO\": 0,\r\n \"DOUTORADO\": 0\r\n },\r\n \"StateDistribution\": {\r\n \"AC\": 0,\r\n \"AL\": 0,\r\n \"AM\": 0,\r\n \"AP\": 0,\r\n \"BA\": 0,\r\n \"CE\": 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