Overview

This page lists all fields within our Person Dataset. We have broken these out into the following sections:

Base Person Fields: Fields common to all customers by default
Person Risk Attributes: Premium identity-risk-related fields with enhanced tracking and sourcing information
Premium Resume Fields: Premium resume-related fields, such as raw-text job titles and summary descriptions

For access to fields beyond the Base Person Fields, please speak to one of our data consultants.

Base Person Fields

📘
Formatting Notes
The dot notation indicates that the property exist one level within a hash. If a field is not present within a record, then we’ll return an empty list or a null value for that field.

FIELD NAME	FIELD TYPE	Persistence Commitments and Format	SHORT DESCRIPTION	EXAMPLE
`id`	`String`		The PDL persistent ID.	qEnOZ5Oh0poWnQ1luFBfVw_0000
`full_name`	`String`	Free text field	The first and the last name fields appended with a space.	sean thorne
`first_name`	`String`	Free text field	The person's first name.	sean
`middle_initial`	`String`	Free text field, single character	The person's middle initial.	f
`middle_name`	`String`	Free text field	The person's middle name.	fong
`last_initial`	`String`	Free text field, single character	The first letter of the person's last name.	t
`last_name`	`String`	Free text field	The person's last name.	thorne
`gender`	`String`	Canonical Genders	The person's gender.	male
`birth_year`	`Date`*	Date string in the format of YYYY-MM-DD. It is represented as an Int for Data License customers (see October 2021 Release Notes (v16)).	The approximated birth date associated with this person profile. If a profile has a `birth_date`, the `birth_year` field will match it.	1990
`birth_date`	`Date`	Date string in the format of YYYY-MM-DD. It can be accurate to the day (YYYY-MM-DD), the month (YYYY-MM) or the year (YYYY.) If this field exists, `birth_year` will agree with it.	The birth date associated with this person profile.	1990-12-03
`linkedin_url`	`String`	URL of the form `linkedin.com/in/<linkedin_username>` and not necessarily an active profile.	The main LinkedIn profile URL for this record based on source agreement.	linkedin.com/in/seanthorne
`linkedin_username`	`String`	Free text field with blacklisted values	The main LinkedIn username for this record based on source agreement.	seanthorne
`linkedin_id`	`String`		The main LinkedIn profile ID for this record based on source agreement.	145991517
`facebook_url`	`String`	URL of the form `facebook.com/<facebook_username>`	The Facebook profile URL.	facebook.com/deseanthorne
`facebook_username`	`String`		The Facebook username.	deseanthorne
`facebook_id`	`String`		The persistent Facebook ID associated with the person's Facebook profile.	1089351304
`twitter_url`	`String`		The Twitter URL.	twitter.com/seanthorne5
`twitter_username`	`String`		The Twitter username.	seanthorne5
`github_url`	`String`	URL of the form `github.com/<github_username>`	The main GitHub profile for this record based on source agreement.	github.com/deseanathan_thornolotheu
`github_username`	`String`		The main GitHub profile username for this record based on source agreement.	deseanathan_thornolotheu
`work_email`	`String`	Valid email address formatting	The current professional email.	[email protected]
`personal_emails`	`Array (String)`		The list of all emails tagged as `type = personal`.	["[email protected]", "[email protected]"]
`mobile_phone`	`String`		The highly confident direct-dial mobile phone associated with this person.	17095944554
`industry`	`Enum (String)`		The most relevant industry for this record based primarily on their tagged personal industries and secondarily on the industries of the companies that they have worked for.	computer software
`job_title`	`String`		The person's current job title.	co-founder and chief executive officer
`job_title_role`	`Enum (String)`	Canonical Job Roles	The derived role of the person's current job title.	operations
`job_title_sub_role`	`Enum (String)`	Canonical Job Sub Roles	The derived subrole of the person's current job title. Each subrole maps to a role.	logistics
`job_title_levels`	`Array (Enum (String))`	Canonical Job Title Levels	The derived levels of the person's current job title.	["cxo", "owner"]
`job_company_id`	`String`		The person's current company's PDL ID.	peopledatalabs
`job_company_name`	`String`		The person's current company's name.	people data labs
`job_company_website`	`String`		The person's current company's website.	peopledatalabs.com
`job_company_size`	`Enum (String)`	Canonical Company Sizes	The person's current company's size range.	51-200
`job_company_founded`	`Date`*	Date string in the format of YYYY-MM-DD. It is represented as an Int for Data License customers (see October 2021 Release Notes (v16).)	The person's current company's foundation date.	2015
`job_company_industry`	`Enum (String)`	Canonical Industries	The person's current company's industry.	computer software
`job_company_linkedin_url`	`String`		The person's current company's LinkedIn URL.	linkedin.com/company/peopledatalabs
`job_company_linkedin_id`	`String`		The person's current company's LinkedIn ID.	1640694639
`job_company_facebook_url`	`String`		The person's current company's Facebook URL.	facebook.com/peopledatalabs
`job_company_twitter_url`	`String`		The person's current company's Twitter URL.	twitter.com/peopledatalabs
`job_company_location_name`	`String`		The canonical location of the person's current company's headquarters.	san francisco, california, united states
`job_company_location_locality`	`String`		The locality of the person's current company's headquarters.	san francisco
`job_company_location_metro`	`Enum (String)`	Canonical Metros	The metro area of the person's current company's headquarters.	san francisco, california
`job_company_location_region`	`String`		The region of the person's current company's headquarters.	california
`job_company_location_geo`	`String`		The geolocation coordinates of the person's current company's headquarters.	37.77,-122.41
`job_company_location_street_address`	`String`		The street address of the person's current company's headquarters.	455 Market Street Suite 1690
`job_company_location_address_line_2`	`String`		The address line 2 of the person's current company's headquarters.	suite 1690
`job_company_location_postal_code`	`String`		The postal code of the person's current company's headquarters.	94105
`job_company_location_country`	`Enum (String)`	Canonical Countries	The country of the person's current company's headquarters.	united states
`job_company_location_continent`	`Enum (String)`	Canonical Continents	The continent of the person's current company's headquarters.	north america
`job_last_updated`	`Date`	Date string in the format of YYYY-MM-DD	The timestamp that a new data source contributed to this record for the person's current job, which indicated either new information or validation of existing information.	2018-11-05
`job_start_date`	`Date`	Date string in the format of YYYY-MM-DD	A date that indicates the start period of the object, which can be accurate to the day (YYYY-MM-DD), the month (YYYY-MM) or the year (YYYY).	2015-03
`location_name`	`String`		The current canonical location of the person.	berkeley, california, united states
`location_locality`	`String`		The current locality of the person.	berkeley
`location_metro`	`Enum (String)`	Canonical Metros	The current MSA of the person.	san francisco, california
`location_region`	`String`		The current region of the person.	california
`location_country`	`Enum (String)`	Canonical Countries	The current country of the person.	united states
`location_continent`	`Enum (String)`	Canonical Continents	The current continent of the person.	north america
`location_street_address`	`String`		The current street address of the person.	455 fake st
`location_address_line_2`	`String`		The current address line 2 of the person.	apartment 12
`location_postal_code`	`String`		The current postal code of the person.	94704
`location_geo`	`String`		The current geolocation coordinates of the person.	37.87,-122.27
`location_last_updated`	`Date`	Date string in the format of YYYY-MM-DD	The timestamp that a new data source contributed to this record for the current location, which indicates either new information or validation of existing information.	2018-11-05
`phone_numbers`	`Array (String)`		The phone numbers associated with this person profile in E164 format.	17095944554
`emails`	`Array (Object)`		The emails associated with this person profile.
`emails.address`	`String`		The fully-parsed email address.	[email protected]
`emails.type`	`Enum (String)`		The type of email, either `current_professional`, `professional`, `personal` or `null`.	professional
`interests`	`Array (String)`		The interests associated with the profile.
`skills`	`Array (String)`		The skills associated with the profile.
`location_names`	`Array (String)`		The list of all canonical location names associated with the person.	["berkeley, california, united states", "san francisco, california, united states"]
`regions`	`Array (String)`		The list of regions associated with the person.	["california, united states"]
`countries`	`Array (Enum (String))`	Canonical Countries	The list of countries associated with the person.	["united states"]
`street_addresses`	`Array (Object)`		The list of fully-parsed addresses associated with the person.
`street_addresses.street_address`	`String`		The street address associated with the location object.	455 fake st
`street_addresses.address_line_2`	`String`		The secondary street address associated with the location object.	apartment 12
`street_addresses.name`	`String`		A string that appends location fields together to create a standard location field.	berkeley, california, united states
`street_addresses.locality`	`String`		The administrative locality associated with the location object.	berkeley
`street_addresses.metro`	`Enum (String)`	Canonical Metros	The metro area associated with the location object.	san francisco, california
`street_addresses.region`	`String`		The administrative region associated with the location object.	california
`street_addresses.postal_code`	`String`		The postal code associated with the location object.	94704
`street_addresses.country`	`String`		The country associated with the location object.	united states
`street_addresses.geo`	`String`		The geolocation coordinates associated with the location object in [latitude, longitude] format.	37.87,-122.27
`street_addresses.continent`	`Enum (String)`	Canonical Continents	The continent associated with the country in the location object.	north america
`experience`	`Array (Object)`		The experience objects associated with this person profile, which, when output in CSV format, have indexing based on recency and associativity.
`experience.title`	`Object`		A dictionary object that provides a canonicalized title, role and level. For raw titles, see the premium field `experience.title.raw`.
`experience.title.name`	`String`		The inputted title from our data sources with some basic cleaning and mapping in order to help with merging.	chief executive officer and co-founder
`experience.title.levels`	`Array (Enum (String))`	Canonical Job Title Levels	The levels associated with a title.	["cxo"]
`experience.title.role`	`Enum (String)`	Canonical Job Roles	The derived role of the person's job title.	operations
`experience.title.sub_role`	`Enum (String)`	Canonical Job Sub Roles	The derived subrole of the person's job title. Each subrole maps to a role.	logistics
`experience.company`	`Object`		A dictionary of information for the associated company.
`experience.company.id`	`String`		Our current (NON-PERSISTENT) ID that ties company data to the canonical data.	peopledatalabs
`experience.company.name`	`String`		The name associated with the company.	people data labs
`experience.company.website`	`String`		The website associated with the company.	peopledatalabs.com
`experience.company.founded`	`Date`*	Date string in the format of YYYY-MM-DD. It is represented as an Int for Data License customers (see October 2021 Release Notes (v16)).	The year that the company was founded.	2015
`experience.company.size`	`Enum (String)`	Canonical Company Sizes	The size range of the company.	51-200
`experience.company.industry`	`Enum (String)`	Canonical Industries	The industry associated with the company.	computer software
`experience.company.linkedin_url`	`String`		The LinkedIn URL associated with the company.	linkedin.com/company/peopledatalabs
`experience.company.linkedin_id`	`String`		The LinkedIn ID associated with the company.	1640694639
`experience.company.facebook_url`	`String`		The Facebook URL associated with the company.	facebook.com/peopledatalabs
`experience.company.twitter_url`	`String`		The Twitter URL associated with the company.	twitter.com/peopledatalabs
`experience.start_date`	`Date`	Date string in the format of YYYY-MM-DD	A date that indicates the start period of the object, which can be accurate to the day (YYYY-MM-DD), the month (YYYY-MM) or the year (YYYY).	2015-03
`experience.end_date`	`Date`	Date string in the format of YYYY-MM-DD	A date that indicates the end period of the object.	2011-07
`experience.location_names`	`Array (String)`		Canonical locations associated with this particular job/experience object. That is, where the person is working, which may or may not be where the company is headquartered.	["san francisco, california, united states"]
`experience.is_primary`	`Boolean`		A value that indicates if the experience is the primary experience object in our dataset. This experience object will exist in the `job_XXX` fields.	TRUE
`experience.company.location`	`Object`		A dictionary of information for the associated company location.
`experience.company.location.street_address`	`String`		The street address of the company's headquarters.	455 Market Street Suite 1690
`experience.company.location.address_line_2`	`String`		The address line 2 associated with the company's headquarters.	suite 1690
`experience.company.location.name`	`String`		The canonical location name associated with the company's headquarters.	san francisco, california, united states
`experience.company.location.locality`	`String`		The locality of the company's headquarters.	san francisco
`experience.company.location.metro`	`Enum (String)`	Canonical Metros	The metro area of the company's headquarters.	san francisco, california
`experience.company.location.region`	`String`		The region of the company's headquarters.	california
`experience.company.location.country`	`Enum (String)`	Canonical Countries	The country of the company's headquarters.	united states
`experience.company.location.postal_code`	`String`		The postal code associated with the company's headquarters.	94105
`experience.company.location.continent`	`Enum (String)`	Canonical Continents	The continent associated with the company's headquarters.	north america
`experience.company.location.geo`	`String`		The geolocation coordinates associated with the company's headquarters.	37.77,-122.41
`education`	`Array (Object)`		The education objects associated with this person profile, which, when output in CSV format, have indexing based on recency and associativity.
`education.degrees`	`Array (Enum (String))`	Canonical Education Degrees	The list of canonical degrees associated with this education object.	["bachelors", "bachelors of arts"]
`education.majors`	`Array (Enum (String))`	Canonical Education Majors	The list of majors associated with this education object.	["entrepreneurship"]
`education.minors`	`Array (Enum (String))`	Canonical Education Majors	The list of minors associated with this education object.	["business"]
`education.school`	`Object`		A dictionary of information for the associated school.
`education.school.id`	`String`		Our current (NON-PERSISTENT) ID that ties school data to the canonical data.	a56df063-4562-4e59-bc4c-68b33c14df1e
`education.school.name`	`String`		The name associated with the school.	university of oregon
`education.school.website`	`String`		The website URL associated with the school, which could include subdomains.	business.uoregon.edu
`education.school.domain`	`String`		The website domain associated with the school.	uoregon.edu
`education.school.type`	`Enum (String)`	Canonical School Types	The type of school.	post-secondary institution
`education.school.linkedin_url`	`String`		The LinkedIn URL associated with the school.	linkedin.com/school/university-of-oregon
`education.school.linkedin_id`	`String`		The LinkedIn ID associated with the school.	19207
`education.school.facebook_url`	`String`		The Facebook URL associated with the school.	facebook.com/universityoforegon
`education.school.twitter_url`	`String`		The Twitter URL associated with the school.	twitter.com/uoregon
`education.school.location`	`Object`		The location associated with the school.
`education.school.location.name`	`String`		The canonical name of the location associated with the school.	eugene, oregon, united states
`education.school.location.locality`	`String`		The locality associated with the school.	eugene
`education.school.location.region`	`String`		The region associated with the school.	oregon
`education.school.location.country`	`Enum (String)`	Canonical Countries	The country associated with the school.	united states
`education.school.location.continent`	`Enum (String)`	Canonical Continents	The continent associated with the school.	north america
`education.start_date`	`Date`	Date string in the format of YYYY-MM-DD	A date that indicates the start period of the object.	2008-09
`education.end_date`	`Date`	Date string in the format of YYYY-MM-DD	A date that indicates the end period of the object.	2013-06
`education.gpa`	`Float`		The GPA associated with a given degree.	2.23
`profiles`	`Array (Object)`		Social media profiles associated with this person profile.
`profiles.url`	`String`		The URL of the social profile.	linkedin.com/in/seanthorne
`profiles.id`	`String`		The persistent ID related to this social profile, the format of which varies by social network.	145991517
`profiles.network`	`Enum (String)`	Canonical Profile Networks	The network that the social profile exists on.	linkedin
`profiles.username`	`String`		The username associated with the social profile.	seanthorne
`operation_id`	`String`		A value that currently exists only in data license deliveries, which allows PDL employees to identify the timestamp and operations performed on the internal data in order to return a record in a delivery.	acee3bde2e1a2cb7e75c57b80d5b7bc2d5de5b02e7ea51f91304c28df77251dc
`version_status`	`Object`	Deprecated in API responses	An object that allows customers to track the pervious and current dataset version, any other persistent IDs that were merged into this record using improved entity resolution and the status of the record.
`version_status.contains`	`Array (String)`	Deprecated in API responses	The list of IDs that have been merged into this record since the last release.	["qEnOZ5Oh0poWnQ1luFBfVw_0000"]
`version_status.current_version`	`String`	Deprecated in API responses	The current version of the data.	15
`version_status.previous_version`	`String`	Deprecated in API responses	The previous version of the data.	14
`version_status.status`	`String`	Deprecated in API responses (see Canonical Version Status).	A value that describes the changes made to this record between the previous release and the current one.	updated
`dataset_version`	`String`	This field currently exists in the response for Person Enrichment API only	A value that indicates the current major or minor release number.	17.1

Person Risk Attributes

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Formatting Notes
The dot notation indicates that the property exists one level within a hash. If a field is not present, then we’ll return an empty list or a null value for that field.

FIELD NAME	FIELD TYPE	Persistence Commitments and Format	SHORT DESCRIPTION	EXAMPLE
`profiles.first_seen`	`Date`	Date string in the format of YYYY-MM-DD	The date that this profile was first associated with this record.	2017-06-02
`profiles.last_seen`	`Date`	Date string in the format of YYYY-MM-DD	The date that this profile was last associated with this record.	2019-07-18
`profiles.num_sources`	`Integer`	Greater than 0	The number of sources that have contributed to the association of this profile with this record.	17
`emails.first_seen`	`Date`	Date string in the format of YYYY-MM-DD	The date that this email was first associated with this record.	2017-06-02
`emails.last_seen`	`Date`	Date string in the format of YYYY-MM-DD	The date that this email was last associated with this record.	2019-07-18
`emails.num_sources`	`Integer`	Greater than 0	The number of sources that have contributed to the association of this email with this record.	17
`phones`	`Array (Object)`		The list of the phone numbers known to be associated with this record.
`phones.number`	`String`	A phone number in E164 format	The individual phone number associated with this record.	17095944554
`phones.first_seen`	`Date`	Date string in the format of YYYY-MM-DD	The date that this phone number was first associated with this record.	2017-06-02
`phones.last_seen`	`Date`	Date string in the format of YYYY-MM-DD	The date that this phone number was last associated with this record.	2019-07-18
`phones.num_sources`	`Integer`	Greater than 0	The number of sources that have contributed to the association of this phone number with this record.	17
`street_addresses.first_seen`	`Date`	Date string in the format of YYYY-MM-DD	The date that this street address was first associated with this record.
`street_addresses.last_seen`	`Date`	Date string in the format of YYYY-MM-DD	The date that this street address was last associated with this record.
`street_addresses.num_sources`	`Integer`	Greater than 0	The number of sources that have contributed to the association of this street address with this record.	17
`linkedin_connections`	`Integer`	Typically 0-500, some are the true values over 500	The number of LinkedIn connections the person has.	432
`facebook_friends`	`Integer`	Greater than or equal to 0	The number of Facebook friends the person has.	3912
`name_aliases`	`Array (String)`		Any additional associated names or aliases beyond the primary one currently displayed in the name field.	["andrew nichol", "r andrew nichol", "robert nichol"]
`possible_emails`	`Array (Object)`		Any additional emails associated with this person record that have a lower level of confidence than the currently-displayed ones in the `emails` array.	same as the `emails` array
`possible_phones`	`Array (String)`		Any additional phones associated with the person record that have a lower level of confidence than the currently-displayed ones in the `phone_numbers` array.	same as the `phone_numbers` array
`possible_profiles`	`Array (Object)`		Any additional profiles associated with the person record that have a lower level of confidence than the currently-displayed ones in the `profiles` array.	same as the `profiles` array
`possible_street_addresses`	`Array (Object)`		Any additional street addresses associated with the person record that have a lower level of confidence than the currently-displayed ones in the `street_addresses` array.	same as the `street addresses` array
`possible_birth_dates`	`Array (String)`		Any additional birth dates associated with the person record that have a lower level of confidence than the currently-displayed one in the `birth_date` field.	["1991-05-26", "1992-05-26"]
`possible_location_names`	`Array (String)`		Inferred potential locations where the person has lived based on phone area codes, university location and other associations.	same as the `location_names` array
`experience.first_seen`	`Date`	Date string in the format of YYYY-MM-DD	The date when this professional position was first associated with this record in our data.	2016-10-12
`experience.last_seen`	`Date`	Date string in the format of YYYY-MM-DD	The date when this professional position was last associated with this record in our data.	2022-01-04
`job_history`	`Array (Object)`		Any additional professional positions associated with this person record beyond the ones we currently display in the `experience` array. Usually these are positions that have been removed or changed on resumes.	[{"company": "twisselman enterprises", "title": "food service supervisor", "first_seen": "2016-05-17"}]
`job_history.first_seen`	`Date`	Date string in the format of YYYY-MM-DD	The date when this professional position was first associated with this record in our data.	2016-05-17
`job_history.last_seen`	`Date`	Date string in the format of YYYY-MM-DD	The date when this professional position was last associated with this record in our data.	2020-05-30
`num_records`	`Integer`	Greater than 0	The number of unique raw records contributing to this specific PDL profile.
`num_sources`	`Integer`	Greater than 0	The number of unique sources contributing to this specific PDL profile.	172
`first_seen`	`Date`	Date string in the format of YYYY-MM-DD	The date when this record was first created in our data.	2017-06-02

Premium Resume Fields

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Formatting Notes
The dot notation indicates that the property exists one level within a hash. If a field is not present, then we’ll return an empty list or null value for that field.

FIELD NAME	FIELD TYPE	Persistence Commitments and Format	SHORT DESCRIPTION	EXAMPLE
`certifications`	`Array (Object)`		Certification objects associated with this person profile.
`certifications.end_date`	`Date`	Date string in the format of YYYY-MM-DD	The expiration date of the certification.	2018-03
`certifications.name`	`String`	Free Text Field	The inputted name of the certification.	machine learning certification
`certifications.organization`	`String`	Free Text Field	The inputted organization awarding the certification.	coursera
`certifications.start_date`	`Date`	Date string: YYYY-MM-DD	The start date of the certification.	2019-04
`education.raw`	`Array (String)`	Free Text Field	Raw education data that was parsed into the degrees/majors/minors fields.	bachelors of arts in entrepreneurship, business minor
`education.school.raw`	`Array (String)`	Free Text Field	Raw school names.	university of oregon
`education.summary`	`String`	Free Text Field, Cased	The user-inputted summary of education.	when i was at oregon i volunteered at a local homeless shelter 3 days a week
`experience.company.raw`	`Array (String)`	Free Text Field	Raw company names.	google -- analytics team
`experience.company.ticker`	`String`	Free Text Field, capitalized	The company ticker (only for public companies.)	GOOG
`experience.company.type`	`Enum (String)`	Canonical Company Types	The company type.	public
`experience.summary`	`String`	Free Text Field, Cased	The user-inputted summary of experience.	worked on the "search analytics" team to understand our users better
`experience.title.raw`	`Array (String)`	Free Text Field	Raw titles.	chief executive officer and co-founder
`inferred_salary`	`Enum (String)`	Canonical Inferred Salary Ranges	The inferred salary range -- contact us to learn how we infer.	70,000-85,000
`inferred_years_experience`	`Integer`	A value between 0 and 100	The inferred years of work experience.	7
`job_company_ticker`	`String`	Free Text Field, capitalized	The current company ticker.	GOOG
`job_company_type`	`Enum (String)`	Canonical Company Types	The current company type.	public
`job_onet_code`	`String`		The 8-digit O*NET code for the person’s current job title, following the 2018 SOC guidelines.	”11-1011.00”
`job_onet_major_group`	`String`		The O*NET Major Group associated with the person’s current job title.	”Management Occupations”
`job_onet_minor_group`	`String`		The O*NET Minor Group associated with the person’s current job title.	“Top Executives”
`job_onet_broad_occupation`	`String`		The O*NET Broad Occupation category associated with the person’s current job title.	“Chief Executives”
`job_onet_specific_occupation`	`String`		The O*NET Detailed Occupation category associated with the person’s current job title.	“Chief Executives”
`job_onet_specific_occupation_detail`	`String`		A more detailed job title for records where the specific occupation within O*NET's standard hierarchy isn't granular enough to accurately describe the job title. For example, the highest level of granularity for C-suite positions is Chief Executives.	“Chief Technology Officer”
`job_summary`	`String`	Free Text Field, Cased	The user-inputted summary of experience.	worked on the "search analytics" team to understand our users better
`languages`	`Array (Object)`		The list of self-identified languages spoken.
`languages.name`	`String`	Canonical Languages	The name of the canonical language that the person inputted.	english
`languages.proficiency`	`Enum (Integer)`	Score 1-5	The self-identified language proficiency score: 1 (limited) - 5 (fluent).	5
`linkedin_connections`	`Integer`	Typically 0-500, some are the true values over 500	The number of LinkedIn connections.	50
`summary`	`String`	Free Text Field, Cased	The self-written summary tied to the person profile (often a LinkedIn summary.)	growth-hacker and digital nomad

Person Schema

Overview

Base Person Fields

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Formatting Notes

Person Risk Attributes

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Premium Resume Fields

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Overview

Base Person Fields

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Person Risk Attributes

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Premium Resume Fields

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Formatting Notes