> ## Documentation Index > Fetch the complete documentation index at: https://docs.fullenrich.com/llms.txt > Use this file to discover all available pages before exploring further. # Data Dictionary > Every data point you get from FullEnrich — across Search, Enrichment, and Reverse Email. 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](/api/v2/general/enums). # 👤 People ### 🪪 Identity | Data point | API field | Type | Description | Example | | -------------------------------- | ------------------------------------------------------- | ------------- | ----------------------- | ------------------------------------ | | Full name | `full_name` | string | First and last name | `Grégoire Demoge` | | First name | `first_name` | string | First name | `Grégoire` | | Last name | `last_name` | string | Last name | `Demoge` | | City | `location.city` | string | City | `Paris` | | Region / state | `location.region` | string | Region or state | `Île-de-France` | | Country | `location.country` | string | Country name | `France` | | Country code | `location.country_code` | string | ISO 3166-1 alpha-2 code | `FR` | | 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 | `1234` | | Professional network connections | `social_profiles.professional_network.connection_count` | integer | Network size | `3200` | | Language | `languages[].language` | string | Language spoken | `French` | | Language proficiency | `languages[].proficiency` | string (enum) | Proficiency level | `NATIVE_OR_BILINGUAL` | ### 📇 Verified contact info Returned by **Enrichment** and **Reverse Email**. Only deliverable/valid results are returned, so any of these may be absent for a given contact. | Data point | API field | Type | Description | Example | | --------------------- | --------------------------------------- | ------------- | ------------------------------------------ | ------------------------- | | Work email | `contact_info.work_emails[].email` | string | Verified professional email | `gregoire@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 | `g.demoge@gmail.com` | | Personal email status | `contact_info.personal_emails[].status` | string (enum) | Deliverability status | `DELIVERABLE` | | Mobile number | `contact_info.phones[].number` | string | Verified mobile number, worldwide coverage | `+33 6 12 34 56 78` | | Mobile region | `contact_info.phones[].region` | string | ISO 3166-1 alpha-2 code of the number | `FR` | We also return `most_probable_work_email`, `most_probable_personal_email`, and `most_probable_phone` — the single best result for each type, matched by domain proximity and bounce rate (`INVALID` emails excluded). Each has the same sub-fields as the corresponding array element above. ### 💼 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 | `Head of Design` | | Seniority | `seniority` | string (enum) | Seniority level | `Head` | | Job function | `job_functions[].function` | string (enum) | Function category | `Design` | | Sub-function | `job_functions[].sub_function` | string (enum) | Role within the function | `Product Design` | | Role description | `description` | string | Declarative description of the role (not always present) | `Leading the product design team…` | | Company | `company` | object | Employer — full company profile, see [Company](#-company) | `FullEnrich` | | Start date | `start_at` | string (ISO 8601) | Employment start, `YYYY-MM-DDTHH:MM:SSZ` | `2022-03-15T00:00:00Z` | | End date | `end_at` | string (ISO 8601) | Employment end — **only for past roles** (omitted when current) | `2024-06-30T00:00:00Z` | | 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 | `Michigan State` | | 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 | `Python, Sales, Project Management` | # 🏢 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` | | Description | `description` | string | Company description | `Waterfall enrichment across 20+ vendors…` | | Professional network id | `social_profiles.professional_network.id` | integer | Numeric company id | `1234` | | 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 | `8400` | ### 📊 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) | `25` | | Headcount range | `headcount_range` | string (enum) | Size bracket | `11-50` | | Revenue range | `revenue_range` | string (enum) | Annual revenue bracket (omitted when unknown) | `$1M-$2M` | | 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 | `548 Market St` | | HQ address line 2 | `locations.headquarters.line2` | string | Full location string | `San Francisco, CA 94105, 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, Revenue range | [Accepted Filter Values](/api/v2/general/enums) | | Email status (`work/personal email status`) | [Email Verification Status](/api/v2/general/email-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`