This is the complete list of output data points FullEnrich returns. Each row is one field: its API name (dot notation relative to its parent object), type, what it means, and an example. For the accepted filter values, see Accepted Filter Values.

👤 People

🪪 Identity

Data point	API field	Type	Description	Example
Full name	`full_name`	string	First and last name	`Greg Démogé`
First name	`first_name`	string	First name	`Greg`
Last name	`last_name`	string	Last name	`Démogé`
Headline	`headline`	string	Short professional tagline written by the person on their professional network profile	`Co-founder & CPO at FullEnrich \| B2B Data & Enrichment`
Description	`description`	string	Free-text summary written by the person in the about section of their professional network profile (not always present)	`Building FullEnrich to make B2B contact data reliable…`
City	`location.city`	string	City	`San Francisco`
Region / state	`location.region`	string	Region or state	`California`
Country	`location.country`	string	Country name	`United States`
Country code	`location.country_code`	string	ISO 3166-1 alpha-2 code	`US`
Professional network URL	`social_profiles.professional_network.url`	string	Profile URL	`https://www.linkedin.com/in/demoge`
Professional network handle	`social_profiles.professional_network.handle`	string	Profile handle	`demoge`
Professional network id	`social_profiles.professional_network.id`	integer	Numeric profile id	`583778722`
Professional network connections	`social_profiles.professional_network.connection_count`	integer	Network size	`500`
Language	`languages[].language`	string	Language spoken	`english`
Language proficiency	`languages[].proficiency`	string (enum)	Proficiency level	`FULL_PROFESSIONAL`

📇 Verified contact info

Returned by Enrichment and Reverse Email. Email arrays contain usable results, while phones[] contains every phone candidate for transparency, including candidates excluded from most_probable_phone.

Data point	API field	Type	Description	Example
Work email	`contact_info.work_emails[].email`	string	Verified professional email	`greg@fullenrich.com`
Work email status	`contact_info.work_emails[].status`	string (enum)	Deliverability status	`DELIVERABLE`
Personal email	`contact_info.personal_emails[].email`	string	Verified personal email	`greg.demoge@gmail.com`
Personal email status	`contact_info.personal_emails[].status`	string (enum)	Deliverability status	`DELIVERABLE`
Phone number	`contact_info.phones[].number`	string	Internationally formatted phone number	`+1 415 555 0132` · `+33 6 12 34 56 78`
Phone region	`contact_info.phones[].region`	string	ISO 3166-1 alpha-2 code of the number	`US` · `FR`
Line type	`contact_info.phones[].line_type`	string (enum)	Detected line type; always present	`MOBILE` · `LANDLINE` · `VOIP` · `UNKNOWN`
Line status	`contact_info.phones[].line_status`	string (enum)	Whether the line is active; always present	`ACTIVE` · `INACTIVE` · `UNKNOWN`
Ownership match	`contact_info.phones[].ownership_match`	string (enum)	US/Canada ownership verdict; omitted outside US/Canada or without a verdict	`CONFIRMED` · `MISMATCH`
Ownership confidence	`contact_info.phones[].ownership_match_confidence`	integer (0–100)	Confidence for a confirmed US/Canada mobile; omitted when inapplicable	`80` · `90`
Connect rate	`contact_info.phones[].connect_rate`	string (enum)	Pickup-probability bucket for an active US/Canada mobile without an ownership mismatch; omitted when unavailable or inapplicable	`HIGHEST` · `HIGH` · `MEDIUM`

For each enriched contact, we return most_probable_work_email, most_probable_personal_email, and most_probable_phone. We return them only if they pass all our verification layers. If we find multiple data points that pass our verification filters, we return only the one we’re most confident in. If you don’t get any most_probable_x, it means that we haven’t been able to find any data point that passes our verification layers, even if work_emails[], phones[], or personal_emails[] are not empty. No credits will be used in this case.

💼 Current & past roles

Returned under employment.current (single object) and employment.all[] (full history). Each field below exists per experience.

Data point	API field	Type	Description	Example
Job title	`title`	string	Job title	`Co-founder & CPO`
Seniority	`seniority`	string (enum)	Seniority level	`Founder`
Job function	`job_functions[].function`	string (enum)	Function category	`Executive & Leadership`
Sub-function	`job_functions[].sub_function`	string (enum)	Role within the function	`Founder/Owner`
Role description	`description`	string	Declarative description of the role (not always present)	`Leading product and data at FullEnrich…`
Company	`company`	object	Employer — full company profile, see Company	`FullEnrich`
Start date	`start_at`	string (ISO 8601)	Employment start, `YYYY-MM-DDTHH:MM:SSZ`	`2024-01-01T00:00:00Z`
End date	`end_at`	string (ISO 8601)	Employment end — only for past roles (omitted when current)	`2023-12-31T00:00:00Z`
Is current	`is_current`	boolean	Whether this is the current employment	`true`

🎓 Education & skills

Data point	API field	Type	Description	Example
School	`educations[].school_name`	string	Institution	`Stanford University`
Degree	`educations[].degree`	string	Degree	`MS`
Education start	`educations[].start_at`	string (ISO 8601)	Start date	`2015-09-01T00:00:00Z`
Education end	`educations[].end_at`	string (ISO 8601)	End date	`2019-06-30T00:00:00Z`
Skills	`skills[]`	string array	Professional declared skills	`Design Strategy, Interaction Design, Lean Startup`

🏢 Company

Every person record embeds the full company profile for their current (and past) employers, under employment.current.company / employment.all[].company. Company Search and Company Lookup return the same object.

🏷️ Identity

Data point	API field	Type	Description	Example
Company id	`id`	string (uuid)	Unique company identifier	`a1b2c3d4-e5f6-7890-abcd-ef1234567890`
Company name	`name`	string	Legal or brand name	`FullEnrich`
Domain	`domain`	string	Company domain	`fullenrich.com`
Website	`website`	string	Company website URL as declared by the company — may differ from `domain` (subdomain, path, tracking parameters). Not always present	`https://www.fullenrich.com`
Description	`description`	string	Company description	`Waterfall enrichment across 20+ vendors to find verified emails and phone numbers.`
Logo URL	`logo_url`	string	Company logo hosted by FullEnrich, built from the professional network handle	`https://app.fullenrich.com/logo/company/handle/fullenrich`
Professional network id	`social_profiles.professional_network.id`	integer	Numeric company id	`98444201`
Professional network handle	`social_profiles.professional_network.handle`	string	Company page handle	`fullenrich`
Professional network URL	`social_profiles.professional_network.url`	string	Company page URL	`https://www.linkedin.com/company/fullenrich`
Professional network followers	`social_profiles.professional_network.connection_count`	integer	Followers count	`24507`

📊 Firmographics

Data point	API field	Type	Description	Example
Industry	`industry.main_industry`	string (enum)	Primary industry (standard industry taxonomy, 200+ values)	`Software Development`
Specialties	`specialties[]`	string array	Declarative tags and focus areas	`B2B data, Email & phone finder`
Company type	`company_type`	string (enum)	Public, private, nonprofit…	`Privately Held`
Headcount	`headcount`	integer	Exact employee count (may be `0` even when a range is known)	`65`
Headcount range	`headcount_range`	string (enum)	Size bracket	`11-50`
Year founded	`year_founded`	integer	Founding year (`0` when unknown)	`2023`

📍 Location

Data point	API field	Type	Description	Example
HQ street	`locations.headquarters.line1`	string	Street address	`1885 Mission St`
HQ address line 2	`locations.headquarters.line2`	string	Full location string	`San Francisco, California 94103, US`
HQ city	`locations.headquarters.city`	string	City	`San Francisco`
HQ region	`locations.headquarters.region`	string	State or region	`California`
HQ country	`locations.headquarters.country`	string	Country name	`United States`
HQ country code	`locations.headquarters.country_code`	string	ISO 3166-1 alpha-2 code	`US`
Offices	`locations.offices[].{line1, line2}`	array	Additional offices — raw address lines only (no parsed city/region); can be `null` or empty	`111 8th Ave` · `New York, NY 10011, US`

Accepted values

Enum value lists are maintained in one place — they are not duplicated here:

Field	Source of truth
Seniority, Job function & sub-function, Company industry, Company type	Accepted Filter Values
Email status (`work/personal email status`)	Email Verification Status

Two short sets that have no dedicated page:

Headcount range: 1-10 · 11-50 · 51-200 · 201-500 · 501-1000 · 1001-5000 · 5001-10000 · 10001+
Language proficiency: NATIVE_OR_BILINGUAL · FULL_PROFESSIONAL · PROFESSIONAL_WORKING · LIMITED_WORKING · ELEMENTARY

Getting Started

FullEnrich in your Product

Enrichment

Reverse Email Lookup

Search

Tools

Data Dictionary

👤 People

🪪 Identity

📇 Verified contact info

💼 Current & past roles

🎓 Education & skills

🏢 Company

🏷️ Identity

📊 Firmographics

📍 Location

Accepted values

​👤 People

​🪪 Identity

​📇 Verified contact info

​💼 Current & past roles

​🎓 Education & skills

​🏢 Company

​🏷️ Identity

​📊 Firmographics

​📍 Location

​Accepted values

👤 People

🪪 Identity

📇 Verified contact info

💼 Current & past roles

🎓 Education & skills

🏢 Company

🏷️ Identity

📊 Firmographics

📍 Location

Accepted values