Email Address

Trustfull's API endpoints are quite flexible and you can request a range of services from a single endpoint

One of the possible use cases is Email Address Analytics

What is Email Address Analytics?

Email Address Analytics is a product that combines advanced email validation, data enrichment, and a specific AI model all based on a single touch point, the email number.

Request

following an example of a Email Address Analytics

curl --request POST \
     --url https://api.fido.id/1.0/email \
     --header 'Accept: application/json' \
     --header 'Content-Type: application/json' \
     --header 'x-api-key: [your_app_key]' \
     --data '
{
     "customer_id": "your_customer_id",
     "claims": [
          "email"
     ],
     "email": "[email protected]"
}'

Response

Following an example of the response:

{
    "resolution_id": "...",
    "customer_id": "...",
    "device_request_time": "...",
    "webhook_url": "...",
    "claims": [
        "email"
    ],
    "value": "[email protected]",
    "status": "deliverable",
    "is_disposable": true,
    "disposable_provider_name": "10minutemail.com",
    "is_role": true,
    "is_spamtrap": true,
    "is_free": true,
    "domain": "Gmail",
    "first_name": "Tony",
    "last_name": "Stark",
    "education": "Cambridge University",
    "has_twitter": true,
    "has_amazon": true,
    "has_linkedin": true,
    "has_instagram": true,
    "has_airbnb": true,
    "has_spotify": true,
    "has_deliveroo": true,
    "has_pinterest": true,
    "has_office365": true,
    "has_hubspot": true,
    "has_wordpress": true,
    "avatar": "https://...",
    "domain_age": 365,
    "domain_mx_is_valid": true,
    "domain_mx_provider": "google.com",
    "domain_registrar": "MarkMonitor, Inc.",
    "domain_registered_to": "Google LLC",
    "score": 649,
    "score_cluster": "very_high",
    "company_name": "Apple",
    "company_description": "Apple Inc. is an American...",
    "company_industry": "Internet Software & Services",
    "company_employees": 1750,
    "company_job_title": "Sales Manager",
    "company_founded": 2014,
    "company_keywords": "smartphone,tech",
    "company_annual_revenue": 17630000000,
    "company_logo": "https://...",
    "company_country": "Italy",
    "company_twitter_url": "https://...",
    "company_facebook_url": "https://...",
    "company_linkedin_url": "https://...",
    "company_total_funding": "https://...",
    "company_tech_stack": "JavaScript",
    "employment": "JavaScript",
    "domain_website_exists": true,
    "domain_website_exists_taxonomy": "TAXONOMY_WEBSITE_EXISTS",
    "domain_website_exists_ssl": true,
    "account_length": 10,
    "account_dots_count": 1,
    "account_numbers_count": 0,
    "account_letters_count": 9,
    "account_symbols_count": 1,
    "account_vowels_count": 3,
    "account_consonants_count": 6,
    "account_dots_ratio": 0.1,
    "account_numbers_ratio": 0,
    "account_letters_ratio": 0.9,
    "account_symbols_ratio": 0.1,
    "account_vowels_ratio": 0.3,
    "account_consonants_ratio": 0.6,
    "contains_first_name": true,
    "contains_last_name": true,
    "parsed_first_name": "Tony",
    "parsed_last_name": "Stark",
    "parsed_name_is_valid": true,
    "parsed_name_risk_type": "FICTIONAL",
    "did_you_mean": "[email protected]",
    "has_stop_words": true,
    "has_facebook": true,
    "has_apple": true,
    "has_ebay": true,
    "has_disney_plus": true,
    "data_breaches_count": 0,
    "data_breaches_first_breach": "2020-01-02",
    "data_breaches_last_breach": "2020-01-02",
    "data_breaches_list": "Databreach#1,2016-10-13|Databreach#2,2021-05-10|...",
    "data_breaches_data": "[{\"id\":\"41720\",\"date\":\"2023-03-09\",\"title\":\"Sensitive Source\"},{\"id\":\"40870\",\"date\":\"2023-01-06\",\"title\":\"Deezer\"},{\"id\":\"37248\",\"date\":\"2021-03-04\",\"title\":\"Sensitive Source\"},{\"id\":\"18023\",\"date\":\"2020-09-17\",\"title\":\"Scraped Gravatar Profiles\"},{\"id\":\"17871\",\"date\":\"2020-08-13\",\"title\":\"\\\"AntiPub Drugs Squad\\\" Combolist\"},{\"id\":\"16296\",\"date\":\"2018-11-29\",\"title\":\"Sensitive Source\"},{\"id\":\"259\",\"date\":\"2017-03-15\",\"title\":\"GeekedIn\"},{\"id\":\"407\",\"names\":[{\"first_name\":\"Peter\",\"last_name\":\"Parker\"},{\"first_name\":\"Tony\",\"last_name\":\"Stark\"}],\"phones\":[\"393493333333\",\"393493333334\"],\"date\":\"2017-01-16\",\"title\":\"GeckoVPN,| SuperVPN\"}]",
    "data_breaches_data_lists": "{\"names\":[{\"first_name\":\"Peter\",\"last_name\":\"Parker\",\"count\":1},{\"first_name\":\"Tony\",\"last_name\":\"Stark\",\"count\":1}],\"emails\":[],\"phones\":[{\"value\":\"393493333333\",\"count\":1},{\"value\":\"393493333334\",\"count\":1}]}s",
    "has_paypal": true,
    "has_binance": true,
    "has_google": true,
    "google_profile_picture": "https://example.com/image.jpg",
    "google_id": "000000000000000000000",
    "google_first_name": "Tony",
    "google_last_name": "Stark",
    "google_last_edit": "1683970126896",
    "google_active_services_count": "3",
    "google_active_services_list": "PHOTOS,MAPS,NEWS_360",
    "google_reviews_count": "4",
    "google_review_link": "https://www.google.com/maps/contrib/000000000000000000000/reviews",
    "google_location": "Milan",
    "linkedin_profile_page": "https://www.linkedin.com/in/johndoe/",
    "has_yahoo": true,
    "has_skype": true,
    "skype_profile_picture": "https://example.com/image.jpg",
    "skype_city": "Milan",
    "skype_country_code": "IT",
    "skype_country": "Lombardy",
    "skype_state": "Italy",
    "skype_name": "Mario",
    "skype_id": "live:cid1234567",
    "has_gravatar": true,
    "gravatar_profile_picture": "https://example.com/image.jpg",
    "gravatar_first_name": "Tony",
    "gravatar_last_name": "Stark",
    "gravatar_username": "iron",
    "gravatar_city": "Milan",
    "phone_partials_count": 1,
    "phone_partials_list": "*********58",
    "email_partials_count": 2,
    "email_partials_list": "t***@g****.***,t***.s****@g****.***",
    "image_source": "google",
    "image_labels": "Dimples,99.999710083008|Head,99.999710083008|Face,99.999710083008|...",
    "face1_labels": "label1,98.2837|label2,91.23323",
    "face1_bounding_box": "0.93,0.23,10,12",
    "face1_age_range": "12-16",
    "face1_is_celebrity": true,
    "face1_celebrity_name": "Robert Downey Jr.",
    "face2_labels": "label1,98.2837|label2,91.23323",
    "face2_bounding_box": "0.93,0.23,10,12",
    "face2_age_range": "12-16",
    "face2_is_celebrity": true,
    "face2_celebrity_name": "Robert Downey Jr.",
    "face3_labels": "label1,98.2837|label2,91.23323",
    "face3_bounding_box": "0.93,0.23,10,12",
    "face3_age_range": "12-16",
    "face3_is_celebrity": true,
    "face3_celebrity_name": "Robert Downey Jr.",
    "image2_source": "google",
    "image2_labels": "Dimples,99.999710083008|Head,99.999710083008|Face,99.999710083008|...",
    "image2_face1_labels": "label1,98.2837|label2,91.23323",
    "image2_face1_bounding_box": "0.93,0.23,10,12",
    "image2_face1_age_range": "12-16",
    "image2_face1_is_celebrity": true,
    "image2_face1_celebrity_name": "Robert Downey Jr.",
    "image2_face2_labels": "label1,98.2837|label2,91.23323",
    "image2_face2_bounding_box": "0.93,0.23,10,12",
    "image2_face2_age_range": "12-16",
    "image2_face2_is_celebrity": true,
    "image2_face2_celebrity_name": "Robert Downey Jr.",
    "image2_face3_labels": "label1,98.2837|label2,91.23323",
    "image2_face3_bounding_box": "0.93,0.23,10,12",
    "image2_face3_age_range": "12-16",
    "image2_face3_is_celebrity": true,
    "image2_face3_celebrity_name": "Robert Downey Jr.",
    "image3_source": "google",
    "image3_labels": "Dimples,99.999710083008|Head,99.999710083008|Face,99.999710083008|...",
    "image3_face1_labels": "label1,98.2837|label2,91.23323",
    "image3_face1_bounding_box": "0.93,0.23,10,12",
    "image3_face1_age_range": "12-16",
    "image3_face1_is_celebrity": true,
    "image3_face1_celebrity_name": "Robert Downey Jr.",
    "image3_face2_labels": "label1,98.2837|label2,91.23323",
    "image3_face2_bounding_box": "0.93,0.23,10,12",
    "image3_face2_age_range": "12-16",
    "image3_face2_is_celebrity": true,
    "image3_face2_celebrity_name": "Robert Downey Jr.",
    "image3_face3_labels": "label1,98.2837|label2,91.23323",
    "image3_face3_bounding_box": "0.93,0.23,10,12",
    "image3_face3_age_range": "12-16",
    "image3_face3_is_celebrity": true,
    "image3_face3_celebrity_name": "Robert Downey Jr.",
    "reason_codes": "TP001,RP001",
    "google_name_is_valid": true,
    "google_name_risk_type": "OTHER",
    "google_name_gender": "F",
    "has_duolingo": true,
    "duolingo_has_google_id": true,
    "duolingo_has_facebook_id": true,
    "identity_device_count": 2,
    "identity_ip_count": 2,
    "identity_msisdn_count": 2,
    "identity_name_count": 2,
    "has_booking": true,
    "has_samsung": true,
    "has_atlassian": true,
    "has_lastpass": true,
    "has_adobe": true,
    "has_freelancer": true,
    "faces_similarity1": true,
    "faces_similarity1_image1": "https://...",
    "faces_similarity1_image2": "https://...",
    "faces_similarity1_image1_bounding_box": "0.93,0.23,10,12",
    "faces_similarity1_image2_bounding_box": "0.93,0.23,10,12",
    "faces_similarity2": true,
    "faces_similarity2_image1": "https://...",
    "faces_similarity2_image2": "https://...",
    "faces_similarity2_image1_bounding_box": "0.93,0.23,10,12",
    "faces_similarity2_image2_bounding_box": "0.93,0.23,10,12",
    "faces_similarity3": true,
    "faces_similarity3_image1": "https://...",
    "faces_similarity3_image2": "https://...",
    "faces_similarity3_image1_bounding_box": "0.93,0.23,10,12",
    "faces_similarity3_image2_bounding_box": "0.93,0.23,10,12",
    "first_seen": "2019-05-20",
    "domain_internal_links_count": 4,
    "domain_external_links_count": 8,
    "domain_internal_email_links_count": 15,
    "domain_external_email_links_count": 16,
    "domain_internal_images_count": 23,
    "domain_external_images_count": 42,
    "domain_page_size": 1057,
    "to_name": "{\"first_name\":\"tony\", \"last_name\":\"Stark\", \"confidence\": \"HIGH\"}",
    "has_image_reverse_search": "ALL",
    "image_reverse_search": "",
    "image_reverse_search_source": "google",
    "image2_reverse_search": "",
    "image2_reverse_search_source": "google",
    "image3_reverse_search": "",
    "image3_reverse_search_source": "google"
}

The following fields can be found under the "email" object

name

type

value

string

The email of the user provided during the API call

Ex: [email protected]

status

string

  • deliverable: verified as a real address
  • invalid: verified as invalid
  • unknown: The server cannot be reached, or there is no way to determine the status of the email
  • syntax_error: Invalid due to possible spelling error
  • typo: The email address is invalid, likely due to a typo
  • accept-all: Not bouncing but cannot verify if the account is active
  • disposable: Verified as a temporary email address
  • spam-trap: Verified as an inactive email address
  • spam_track: Alias to spam-trap\

Ex: deliverable

Enum: deliverable,invalid,unknown,accept_all,disposable,typo,spam-trap,spam_track,syntax_error

is_disposable

boolean

Indicates if the email account belongs to a temporary email service provider

Ex: true

disposable_provider_name

string

When detected indicates the temporary email service provider

Ex: 10minutemail.com

is_role

boolean

  • *DEPRECATED** Indicates the email account role based email address

Ex: true

is_spamtrap

boolean

Indicates the email account is a spam trap. Spam traps are email addresses used by (ISPs) and blocklist operators to identify senders who are not following email best practices

Ex: true

is_free

boolean

Indicates the email account belongs to a free service provider. If false, the email account belongs to a company or paying individual

Ex: true

domain

string

The domain name associated with the email address of the user

Ex: Gmail

first_name

string

The first name of the user comes from a social network (Linkedin, Twitter)

Ex: Tony

last_name

string

The last name of the user comes from a social network (Linkedin, Twitter)

Ex: Stark

education

string

The name of the school the user declared to have attended on social networks

Ex: Cambridge University

has_twitter

boolean

Equal to true if the user has a Twitter account

Ex: true

has_amazon

boolean

Equal to true if the user has an Amazon shopping account

Ex: true

has_linkedin

boolean

Equal to true if the user has a Linkedin account

Ex: true

has_instagram

boolean

Equal to true if the user has a Instagram account

Ex: true

has_airbnb

boolean

  • *DEPRECATED** Equal to true if the user has a AirBnB account

Ex: true

has_spotify

boolean

Equal to true if the user has a Spotify account

Ex: true

has_deliveroo

boolean

Equal to true if the user has a Deliveroo account

Ex: true

has_pinterest

boolean

Equal to true if the user has a Pinterest account

Ex: true

has_office365

boolean

Equal to true if the user has a Office365 account

Ex: true

has_hubspot

boolean

Equal to true if the user has a Hubspot account

Ex: true

has_wordpress

boolean

Equal to true if the user has a Wordpress account

Ex: true

avatar

string

The avatar associated with the email address. Coming from different online sources

Ex: https://...

domain_age

integer

Indicates how old is the company domain associated with the email address (in days)

Ex: 365

domain_mx_is_valid

boolean

Indicates if the email domain has a valid dns mx record

Ex: true

domain_mx_provider

string

Indicates the email domain provider (dns mx record target)

Ex: google.com

domain_registrar

string

Specifies the authoritative company or organization responsible for registering the email domain in question

Ex: MarkMonitor, Inc.

domain_registered_to

string

Specifies the individual or entity officially registered as the owner of the given email domain

Ex: Google LLC

score

integer

A number ranging from 0 to 1000 represents the quality of the email

Ex: 649

score_cluster

string

A cluster summarizing the quality of the email_address

Ex: very_high

Enum: very_low,low,review,high,very_high

company_name

string

The name of the company the user works for, contains the full name

Ex: Apple

company_description

string

A verbose description description of the company the user works for

Ex: Apple Inc. is an American...

company_industry

string

Indicates the industry/sector of the company using a standard taxonomy

Ex: Internet Software & Services

company_employees

integer

Indicates the number of employees of the company

Ex: 1750

company_job_title

string

Indicates the job title of the user gathered using OSINT methodologies

Ex: Sales Manager

company_founded

integer

Indicates the year when the company was founded

Ex: 2014

company_keywords

string

A list of keywords used in the company description

Ex: smartphone,tech

company_annual_revenue

integer int64

Indicates our proprietary estimated annual revenue range for company

Ex: 17630000000

company_logo

string

An url linking to the the logo of the company associcated with the email address

Ex: https://...

company_country

string

Indicates the country name of the company headquarter

Ex: Italy

company_twitter_url

string

Provides a link to the company twitter account, links is always pointing to twitter domain

Ex: https://...

company_facebook_url

string

Provides the Facebook url of the company, links is always pointing to facebook domain

Ex: https://...

company_linkedin_url

string

Provides the Linkedin url of the company, links is always pointing to linkedin domain

Ex: https://...

company_total_funding

integer

Provides the total amount of funding raised by company

Ex: https://...

company_tech_stack

string

Indicates the set of technologies uses by the company

Ex: JavaScript

employment

string

The profession the user declared on social networks

Ex: JavaScript

domain_website_exists

boolean

Indicates if the domain of the email exists or not

Ex: true

domain_website_exists_taxonomy

string

Indicates in which taxonomy the domain of the email is categorized

  • TAXONOMY_WEBSITE_EXISTS: There is a website associated with this domain
  • TAXONOMY_WEBSITE_ERROR: The website associated with this domain is unreachable
  • TAXONOMY_REDIRECT: The website contains a redirection to another website
  • TAXONOMY_REDIRECT_TO_HTTPS: The website performs a redirect from the HTTP protocol to the HTTPS protocol
  • TAXONOMY_PARKED_DOMAIN: The domain is of the "parked" type
  • TAXONOMY_WEBSITE_HOSTING: The website is from a provider or hosting
  • TAXONOMY_NO_CONTENT: The website is empty
  • TAXONOMY_TIMEOUT: The website does not respond in an acceptable time

Ex: TAXONOMY_WEBSITE_EXISTS

Enum: TAXONOMY_WEBSITE_EXISTS,TAXONOMY_WEBSITE_ERROR,TAXONOMY_REDIRECT,TAXONOMY_REDIRECT_TO_HTTPS,TAXONOMY_PARKED_DOMAIN,TAXONOMY_WEBSITE_HOSTING,TAXONOMY_NO_CONTENT,TAXONOMY_TIMEOUT

domain_website_exists_ssl

boolean

Indicates if the domain has an SSL certificate

Ex: true

account_length

integer

Length of the email address stripped of the domain

Ex: 10

account_dots_count

integer

Number of dots in the email address stripped of the domain

Ex: 1

account_numbers_count

integer

Number of digits in the email address stripped of the domain

Ex: 0

account_letters_count

integer

Number of letters in the email address stripped of the domain

Ex: 9

account_symbols_count

integer

Number of symbols in the email address stripped of the domain

Ex: 1

account_vowels_count

integer

Number of vowels in the email address stripped of the domain

Ex: 3

account_consonants_count

integer

Number of consonants in the email address stripped of the domain

Ex: 6

account_dots_ratio

number float

Number of dots in relation to the email account length

Ex: 0.1

account_numbers_ratio

number float

Number of digits in relation to the email account length

Ex: 0

account_letters_ratio

number float

Number of letters in relation to the email account length

Ex: 0.9

account_symbols_ratio

number float

Number of symbols in relation to the email account length

Ex: 0.1

account_vowels_ratio

number float

Number of vowels in relation to the email account length

Ex: 0.3

account_consonants_ratio

number float

Number of consonants in relation to the email account length

Ex: 0.6

contains_first_name

boolean

Indicates if a first name have been found in email account

Ex: true

contains_last_name

boolean

Indicates if a last name have been found in email account

Ex: true

parsed_first_name

string

The first name detected in email account, using a proprietary parsing algorithm

Ex: Tony

parsed_last_name

string

The last name detected in email account, using a proprietary parsing algorithm

Ex: Stark

parsed_name_is_valid

boolean

Indicates if the combination of first and last name parsed from email account could be fake

Ex: true

parsed_name_risk_type

string

Provides further information about the account parsed name when it could be fake

Ex: FICTIONAL

Enum: FAMOUS,OTHER,INVALID,STRING_SIMILARITY,FICTIONAL,RANDOM_TYPING,PLACEHOLDER,VULGAR,HUMOROUS,INVALID_CHARACTERS

did_you_mean

string

Indicates the detection of a possible typo in the email

Ex: [email protected]

has_stop_words

boolean

The email contains stop words such as "nomail", "noemail

Ex: true

has_facebook

boolean

Indicates if the email have been found in facebook

Ex: true

has_apple

boolean

Equal to true if the user has an Apple account

Ex: true

has_ebay

boolean

Indicates if the email have been found on ebay

Ex: true

has_disney_plus

boolean

Indicates if the email have been found on disney

Ex: true

data_breaches_count

integer

Number of data breaches found associated with the email address

Ex: 0

data_breaches_first_breach

string

Date of the eventual first data breach registered for the email address

Ex: 2020-01-02

data_breaches_last_breach

string

Date of the eventual last data breach registered for the email address

Ex: 2020-01-02

data_breaches_list

string

List of the first 10 data breaches, including data breach name and date

Ex: Databreach#1,2016-10-13|Databreach#2,2021-05-10|...

data_breaches_data

string

Contains the data breaches, returned in json format, linked to the email address

Ex: [{"id":"41720","date":"2023-03-09","title":"Sensitive Source"},{"id":"40870","date":"2023-01-06","title":"Deezer"},{"id":"37248","date":"2021-03-04","title":"Sensitive Source"},{"id":"18023","date":"2020-09-17","title":"Scraped Gravatar Profiles"},{"id":"17871","date":"2020-08-13","title":""AntiPub Drugs Squad" Combolist"},{"id":"16296","date":"2018-11-29","title":"Sensitive Source"},{"id":"259","date":"2017-03-15","title":"GeekedIn"},{"id":"407","names":[{"first_name":"Peter","last_name":"Parker"},{"first_name":"Tony","last_name":"Stark"}][{"first_name":"Peter","last_name":"Parker"},{"first_name":"Tony","last_name":"Stark"}],"phones":["393493333333","393493333334"],"date":"2017-01-16","title":"GeckoVPN,| SuperVPN"}]

data_breaches_data_lists

string

Contains the data breaches list aggregated by names, emails and phones linked to the email address

Ex: {"names":[{"first_name":"Peter","last_name":"Parker","count":1},{"first_name":"Tony","last_name":"Stark","count":1}][{"first_name":"Peter","last_name":"Parker","count":1},{"first_name":"Tony","last_name":"Stark","count":1}],"emails":[],"phones":[{"value":"393493333333","count":1},{"value":"393493333334","count":1}][{"value":"393493333333","count":1},{"value":"393493333334","count":1}]}s

has_paypal

boolean

Indicates if the email have been found on paypal

Ex: true

has_binance

boolean

Indicates if the email have been found on binance

Ex: true

has_google

boolean

Indicates if the email have been found on google

Ex: true

google_profile_picture

string

A public URL containing the Google profile picture

Ex: https://example.com/image.jpg

google_id

string

Indicates the identification code of the users google account

Ex: 000000000000000000000

google_first_name

string

Indicates the first name of the user coming from a google profile

Ex: Tony

google_last_name

string

Indicates the last name of the user coming from a google profile

Ex: Stark

google_last_edit

string

Indicates the last time the google profile was edited

Ex: 1683970126896

google_active_services_count

integer

Indicates the number of active google services for the user

Ex: 3

google_active_services_list

string

Indicates the list of active google services for the user

Ex: PHOTOS,MAPS,NEWS_360

google_reviews_count

integer

Indicates the count of google reviews made by the user

Ex: 4

google_review_link

string

Indicates the link of google review of the profile

Ex: https://www.google.com/maps/contrib/000000000000000000000/reviews

google_location

string

Indicates the most reviewed location of profile's google review page

Ex: Milan

linkedin_profile_page

string

Contains the web address of the Linkedin profile

Ex: https://www.linkedin.com/in/johndoe/

has_yahoo

boolean

Equal to true if the email is linked or has a Yahoo account

Ex: true

has_skype

boolean

Equal to true if the email is linked or has a Skype account

Ex: true

skype_profile_picture

string

A public URL containing the Skype profile picture

Ex: https://example.com/image.jpg

skype_city

string

The name of the city registered in the Skype account

Ex: Milan

skype_country_code

string

The international country code registered in the Skype account, in ISO3166 alpha-2

Ex: IT

Enum: AB, AD, AE, AF, AG, AI, AL, AM, AO, AQ, ...

skype_country

string

The name of the country registered in the Skype account

Ex: Lombardy

skype_state

string

The name of the state registered in the Skype account

Ex: Italy

skype_name

string

The name of the user registered in the Skype account

Ex: Mario

skype_id

string

The skype username of the account associated to the email

Ex: live:cid1234567

has_gravatar

boolean

Equal to true if the email is linked or has a Gravatar account

Ex: true

gravatar_profile_picture

string

A public URL containing the Gravatar profile picture

Ex: https://example.com/image.jpg

gravatar_first_name

string

The First name of the user registered in gravatar

Ex: Tony

gravatar_last_name

string

The Last name of the user registered in gravatar

Ex: Stark

gravatar_username

string

The Username of the user registered in gravatar

Ex: iron

gravatar_city

string

The name of the city that the user registered in gravatar

Ex: Milan

phone_partials_count

integer

Contains the number of partial phone numbers linked to the email address

Ex: 1

phone_partials_list

string

Contains the aggregated partial phone numbers linked to the email address

Ex: *58

email_partials_count

integer

Contains the number of partial email address linked to the email address

Ex: 2

email_partials_list

string

Contains the aggregated partial email address linked to the email address

Ex: t*@g**.,t.s**@g**.***

image_source

string

The social or messaging app in that has this photo as profile picture:

  • google
  • skype
  • gravatar
  • social\

Ex: google

Enum: google,skype,gravatar,social

image_labels

string

List of labels associated with the photo and relative confidence, separated by "|". There are more than 3500 labels that might indicate bodyparts, people, animals, food, places, colors, events, musical instruments and so on.
For more information about image labels you can go to Image Labels

Ex: Dimples,99.999710083008|Head,99.999710083008|Face,99.999710083008|...

face1_labels

string

List of labels associated with the first face in the photo and relative confidence, separated by "|"

Ex: label1,98.2837|label2,91.23323

face1_bounding_box

string

Coordinates of the first face found, in the format: Width, Height, Left, Top

Ex: 0.93,0.23,10,12

face1_age_range

string

Age range of the first face found in the photo

Ex: 12-16

face1_is_celebrity

boolean

Indicates whether the first face found in the photo matches a known celebrity

Ex: true

face1_celebrity_name

string

When the first face found in the photo matches a celebrity, indicate the name

Ex: Robert Downey Jr.

face2_labels

string

List of labels associated with the second face in the photo and relative confidence, separated by "|"

Ex: label1,98.2837|label2,91.23323

face2_bounding_box

string

Coordinates of the second face found, in the format: Width, Height, Left, Top

Ex: 0.93,0.23,10,12

face2_age_range

string

Age range of the second face found in the photo

Ex: 12-16

face2_is_celebrity

boolean

Indicates whether the second face found in the photo matches a known celebrity

Ex: true

face2_celebrity_name

string

When the second face found in the photo matches a celebrity, indicate the name

Ex: Robert Downey Jr.

face3_labels

string

List of labels associated with the third face in the photo and relative confidence, separated by "|"

Ex: label1,98.2837|label2,91.23323

face3_bounding_box

string

Coordinates of the third face found, in the format: Width, Height, Left, Top

Ex: 0.93,0.23,10,12

face3_age_range

string

Age range of the third face found in the photo

Ex: 12-16

face3_is_celebrity

boolean

Indicates whether the third face found in the photo matches a known celebrity

Ex: true

face3_celebrity_name

string

When the third face found in the photo matches a celebrity, indicate the name

Ex: Robert Downey Jr.

image2_source

string

The social or messaging app in that has this photo as profile picture:

  • google
  • skype
  • gravatar
  • social\

Ex: google

Enum: google,skype,gravatar,social

image2_labels

string

List of labels associated with the photo and relative confidence, separated by "|". There are more than 3500 labels that might indicate bodyparts, people, animals, food, places, colors, events, musical instruments and so on.
For more information about image labels you can go to Image Labels

Ex: Dimples,99.999710083008|Head,99.999710083008|Face,99.999710083008|...

image2_face1_labels

string

List of labels associated with the first face in the photo and relative confidence, separated by "|"

Ex: label1,98.2837|label2,91.23323

image2_face1_bounding_box

string

Coordinates of the first face found, in the format: Width, Height, Left, Top

Ex: 0.93,0.23,10,12

image2_face1_age_range

string

Age range of the first face found in the photo

Ex: 12-16

image2_face1_is_celebrity

boolean

Indicates whether the first face found in the photo matches a known celebrity

Ex: true

image2_face1_celebrity_name

string

When the first face found in the photo matches a celebrity, indicate the name

Ex: Robert Downey Jr.

image2_face2_labels

string

List of labels associated with the second face in the photo and relative confidence, separated by "|"

Ex: label1,98.2837|label2,91.23323

image2_face2_bounding_box

string

Coordinates of the second face found, in the format: Width, Height, Left, Top

Ex: 0.93,0.23,10,12

image2_face2_age_range

string

Age range of the second face found in the photo

Ex: 12-16

image2_face2_is_celebrity

boolean

Indicates whether the second face found in the photo matches a known celebrity

Ex: true

image2_face2_celebrity_name

string

When the second face found in the photo matches a celebrity, indicate the name

Ex: Robert Downey Jr.

image2_face3_labels

string

List of labels associated with the third face in the photo and relative confidence, separated by "|"

Ex: label1,98.2837|label2,91.23323

image2_face3_bounding_box

string

Coordinates of the third face found, in the format: Width, Height, Left, Top

Ex: 0.93,0.23,10,12

image2_face3_age_range

string

Age range of the third face found in the photo

Ex: 12-16

image2_face3_is_celebrity

boolean

Indicates whether the third face found in the photo matches a known celebrity

Ex: true

image2_face3_celebrity_name

string

When the third face found in the photo matches a celebrity, indicate the name

Ex: Robert Downey Jr.

image3_source

string

The social or messaging app in that has this photo as profile picture:

  • google
  • skype
  • gravatar
  • social\

Ex: google

Enum: google,skype,gravatar,social

image3_labels

string

List of labels associated with the photo and relative confidence, separated by "|". There are more than 3500 labels that might indicate bodyparts, people, animals, food, places, colors, events, musical instruments and so on.
For more information about image labels you can go to Image Labels

Ex: Dimples,99.999710083008|Head,99.999710083008|Face,99.999710083008|...

image3_face1_labels

string

List of labels associated with the first face in the photo and relative confidence, separated by "|"

Ex: label1,98.2837|label2,91.23323

image3_face1_bounding_box

string

Coordinates of the first face found, in the format: Width, Height, Left, Top

Ex: 0.93,0.23,10,12

image3_face1_age_range

string

Age range of the first face found in the photo

Ex: 12-16

image3_face1_is_celebrity

boolean

Indicates whether the first face found in the photo matches a known celebrity

Ex: true

image3_face1_celebrity_name

string

When the first face found in the photo matches a celebrity, indicate the name

Ex: Robert Downey Jr.

image3_face2_labels

string

List of labels associated with the second face in the photo and relative confidence, separated by "|"

Ex: label1,98.2837|label2,91.23323

image3_face2_bounding_box

string

Coordinates of the second face found, in the format: Width, Height, Left, Top

Ex: 0.93,0.23,10,12

image3_face2_age_range

string

Age range of the second face found in the photo

Ex: 12-16

image3_face2_is_celebrity

boolean

Indicates whether the second face found in the photo matches a known celebrity

Ex: true

image3_face2_celebrity_name

string

When the second face found in the photo matches a celebrity, indicate the name

Ex: Robert Downey Jr.

image3_face3_labels

string

List of labels associated with the third face in the photo and relative confidence, separated by "|"

Ex: label1,98.2837|label2,91.23323

image3_face3_bounding_box

string

Coordinates of the third face found, in the format: Width, Height, Left, Top

Ex: 0.93,0.23,10,12

image3_face3_age_range

string

Age range of the third face found in the photo

Ex: 12-16

image3_face3_is_celebrity

boolean

Indicates whether the third face found in the photo matches a known celebrity

Ex: true

image3_face3_celebrity_name

string

When the third face found in the photo matches a celebrity, indicate the name

Ex: Robert Downey Jr.

reason_codes

string

Comma separated risk and trust signal for the product email.
For more information about reason codes you can go to Reason Codes

Ex: TP001,RP001

google_name_is_valid

boolean

Indicates if the name obtained from the google profile associated to the provided email address is valid

Ex: true

google_name_risk_type

string

Provides further information about the name obtained from the google profile associated to the provided email address when it could be fake

Ex: OTHER

Enum: FAMOUS,OTHER,INVALID,STRING_SIMILARITY,FICTIONAL,RANDOM_TYPING,PLACEHOLDER,VULGAR,HUMOROUS,INVALID_CHARACTERS

google_name_gender

string

The gender derived from the name obtained from the google profile associated to the provided email address

Ex: F

Enum: F,M

has_duolingo

boolean

Equal to true if the email is linked or has a Duolingo account

Ex: true

duolingo_has_google_id

boolean

Equal to true if the duolingo account is linked with a Google account

Ex: true

duolingo_has_facebook_id

boolean

Equal to true if the duolingo account is linked with a Facebook account

Ex: true

identity_device_count

integer

The number of devices associated with this email

Ex: 2

identity_ip_count

integer

The number of ip addresses associated with this email

Ex: 2

identity_msisdn_count

integer

The number of phones associated with this email

Ex: 2

identity_name_count

integer

The number of names associated with this email

Ex: 2

has_booking

boolean

Equal to true if the email is linked or has a Booking account

Ex: true

has_samsung

boolean

Equal to true if the email is linked or has a Samsung account

Ex: true

has_atlassian

boolean

Equal to true if the email is linked or has a Atlassian account

Ex: true

has_lastpass

boolean

Equal to true if the email is linked or has a Lastpass account

Ex: true

has_adobe

boolean

Equal to true if the email is linked or has an Adobe account

Ex: true

has_freelancer

boolean

Equal to true if the email is linked or has an Freelancer account

Ex: true

faces_similarity1

boolean

Indicates whether the detected faces in the first group are considered a match.

Ex: true

faces_similarity1_image1

string

The URL of the first image in the pair being compared.

Ex: https://...

faces_similarity1_image2

string

The URL of the second image in the pair being compared.

Ex: https://...

faces_similarity1_image1_bounding_box

string

Coordinates of the face in the first image of the pair being compared, in the format: Width, Height, Left, Top.

Ex: 0.93,0.23,10,12

faces_similarity1_image2_bounding_box

string

Coordinates of the face in the second image of the pair being compared, in the format: Width, Height, Left, Top.

Ex: 0.93,0.23,10,12

faces_similarity2

boolean

Indicates whether the detected faces in the second group are considered a match.

Ex: true

faces_similarity2_image1

string

The URL of the first image in the pair being compared.

Ex: https://...

faces_similarity2_image2

string

The URL of the second image in the pair being compared.

Ex: https://...

faces_similarity2_image1_bounding_box

string

Coordinates of the face in the first image of the pair being compared, in the format: Width, Height, Left, Top.

Ex: 0.93,0.23,10,12

faces_similarity2_image2_bounding_box

string

Coordinates of the face in the second image of the pair being compared, in the format: Width, Height, Left, Top.

Ex: 0.93,0.23,10,12

faces_similarity3

boolean

Indicates whether the detected faces in the third group are considered a match.

Ex: true

faces_similarity3_image1

string

The URL of the first image in the pair being compared.

Ex: https://...

faces_similarity3_image2

string

The URL of the second image in the pair being compared.

Ex: https://...

faces_similarity3_image1_bounding_box

string

Coordinates of the face in the first image of the pair being compared, in the format: Width, Height, Left, Top.

Ex: 0.93,0.23,10,12

faces_similarity3_image2_bounding_box

string

Coordinates of the face in the second image of the pair being compared, in the format: Width, Height, Left, Top.

Ex: 0.93,0.23,10,12

first_seen

string

The earliest date our system has on record for the email address.

Ex: 2019-05-20

domain_internal_links_count

integer

The count of links with the same domain inside the page

Ex: 4

domain_external_links_count

integer

The count of links with external domain inside the page

Ex: 8

domain_internal_email_links_count

integer

The count of email links with the same domain inside the page

Ex: 15

domain_external_email_links_count

integer

The count of email links with external domain inside the page

Ex: 16

domain_internal_images_count

integer

The count of image links with the same domain inside the page

Ex: 23

domain_external_images_count

integer

The count of image links with external domain inside the page

Ex: 42

domain_page_size

integer

Specifies the size, in bytes, of the web page corresponding to the email domain

Ex: 1057

to_name

string

A json string representing the most likely name extracted across all the sources of the email address.

Ex: {"first_name":"tony", "last_name":"Stark", "confidence": "HIGH"}

has_image_reverse_search

string

It shows if there are reverse search results for all, none or some profile pictures

Ex: ALL

image_reverse_search

string

A JSON object containing the results of a reverse image search for the profile picture, including websites where the image appears along with the link, name, icon, and domain.

Ex:

image_reverse_search_source

string

The social or messaging app in that has this photo as profile picture:

  • google
  • skype
  • gravatar
  • social\

Ex: google

Enum: google,skype,gravatar,social

image2_reverse_search

string

A JSON object containing the results of a reverse image search for the profile picture, including websites where the image appears along with the link, name, icon, and domain.

Ex:

image2_reverse_search_source

string

The social or messaging app in that has this photo as profile picture:

  • google
  • skype
  • gravatar
  • social\

Ex: google

Enum: google,skype,gravatar,social

image3_reverse_search

string

A JSON object containing the results of a reverse image search for the profile picture, including websites where the image appears along with the link, name, icon, and domain.

Ex:

image3_reverse_search_source

string

The social or messaging app in that has this photo as profile picture:

  • google
  • skype
  • gravatar
  • social\

Ex: google

Enum: google,skype,gravatar,social

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