Field reference: Talent Signals

All 48 fields of the Talent Signals, grouped by category. Names are the Parquet field names; the CSV delivery uses its own column headers, listed under CSV column names.

Every field may be null unless marked required. Today specter_talent_signal_id is guaranteed.

Under each type is the column’s Parquet type, as DuckDB names it: VARCHAR is a string, BIGINT a 64-bit integer, DOUBLE a 64-bit float, and [] a list. Each category ends with its full Parquet schema, ready to copy.

What’s in it

Category	Fields
ID	6
Signal Data	8
Personal	12
Experience	8
Company Data	8
General	3
Education	1
Social Engagement	2

ID

Field	Type	Description
`specter_talent_signal_id`	`string` required `VARCHAR`	Specter identifier for the talent signal.
`specter_person_id`	`string` `VARCHAR`	Specter identifier for the person. Resolves against the People DB.
`specter_talent_signal_ids`	`array<string>` `VARCHAR[]`	All Talent Signals IDs for this profile.
`specter_strategic_signal_ids`	`array<string>` `VARCHAR[]`	All Investor Interest Signals IDs for this profile.
`new_position_specter_company_id`	`string` `VARCHAR`	Specter company ID of the new company which the person started working.
`past_position_specter_company_id`	`string` `VARCHAR`	Specter company ID of the company of the latest past position.

Parquet schema: ID

(
  specter_talent_signal_id          VARCHAR,
  specter_person_id                 VARCHAR,
  specter_talent_signal_ids         VARCHAR[],
  specter_strategic_signal_ids      VARCHAR[],
  new_position_specter_company_id   VARCHAR,
  past_position_specter_company_id  VARCHAR
)

Signal Data

Field	Type	Description
`signal_date`	`date` `DATE`	Signal featured date.
`signal_score`	`integer` `INTEGER`	Signal score from Specter’s proprietary algorithm, 1 to 10, with 10 the highest.
`signal_type`	`string` `VARCHAR`	The kind of career move the signal reports, from the person’s perspective. One of `New Company`, `New Role`, `New Fund`, `Searching`, `Talent`, `Investment`, `Promotion`.
`signal_status`	`string` `VARCHAR`	Either live, stealth, Out of Stealth - dependant on the status of the company the individual is joining or launching. One of `Stealth`, `Live`, `Out of Stealth`, `HR`.
`out_of_stealth_advantage`	`integer` `INTEGER`	Days between Specter’s stealth signal for this person and the Out of Stealth signal, so how far ahead of the public announcement Specter surfaced the company.
`announcement_delay`	`integer` `INTEGER`	The number of months ago the individual started their new role (e.g. Some announcements occur with a delay)
`talent_latest_signal`	`boolean` `BOOLEAN`	Whether the signal is the latest produced by the individual.
`signal_summary`	`string` `VARCHAR`	Summary of the person’s achievements and expertise.

Parquet schema: Signal Data

Signal Data

(
  signal_date               DATE,
  signal_score              INTEGER,
  signal_type               VARCHAR,
  signal_status             VARCHAR,
  out_of_stealth_advantage  INTEGER,
  announcement_delay        INTEGER,
  talent_latest_signal      BOOLEAN,
  signal_summary            VARCHAR
)

Personal

Field	Type	Description
`profile_picture`	`string` `VARCHAR`	URL of the person’s profile picture.
`first_name`	`string` `VARCHAR`	First name of the person.
`last_name`	`string` `VARCHAR`	Last name of the person.
`full_name`	`string` `VARCHAR`	Full name of the person.
`linkedin_url`	`string` `VARCHAR`	URL of the person’s LinkedIn profile.
`twitter_url`	`string` `VARCHAR`	URL of the person’s X (Twitter) profile.
`github_url`	`string` `VARCHAR`	GitHub profile URL.
`about`	`string` `VARCHAR`	Brief biography of the person.
`tagline`	`string` `VARCHAR`	The person’s professional tagline.
`location`	`string` `VARCHAR`	Person location (city level)
`region`	`string` `VARCHAR`	Person region (continent level)
`people_highlights`	`array<string>` `VARCHAR[]`	Highlights are awarded tags to people reflecting specific and different growth patterns.

Parquet schema: Personal

Personal

(
  profile_picture    VARCHAR,
  first_name         VARCHAR,
  last_name          VARCHAR,
  full_name          VARCHAR,
  linkedin_url       VARCHAR,
  twitter_url        VARCHAR,
  github_url         VARCHAR,
  about              VARCHAR,
  tagline            VARCHAR,
  location           VARCHAR,
  region             VARCHAR,
  people_highlights  VARCHAR[]
)

Experience

Field	Type	Description
`tags`	`string` `VARCHAR`	Tags describing the person and their experience.
`level_of_seniority`	`string` `VARCHAR`	Seniority of the person’s current role.
`years_of_experience`	`integer` `INTEGER`	Total years of professional experience.
`education_level`	`string` `VARCHAR`	Highest level of education attained.
`current_tenure`	`integer` `INTEGER`	Duration of the current role in months.
`average_tenure`	`integer` `INTEGER`	Average duration of past roles in months.
`languages`	`array<object>` `STRUCT(…)[]`	Languages spoken by the person.
↳ `name`	`string` `VARCHAR`
↳ `proficiency_level`	`string` `VARCHAR`
`skills`	`array<string>` `VARCHAR[]`	List of skills possessed by the person.

Parquet schema: Experience

Experience

(
  tags                 VARCHAR,
  level_of_seniority   VARCHAR,
  years_of_experience  INTEGER,
  education_level      VARCHAR,
  current_tenure       INTEGER,
  average_tenure       INTEGER,
  languages            STRUCT(
    name VARCHAR,
    proficiency_level VARCHAR
  )[],
  skills               VARCHAR[]
)

Company Data

Field	Type	Description
`experience`	`array<object>` `STRUCT(…)[]`	List of job experiences.
↳ `company_name`	`string` `VARCHAR`
↳ `specter_company_id`	`string` `VARCHAR`
↳ `domain`	`string` `VARCHAR`
↳ `linkedin_url`	`string` `VARCHAR`
↳ `description`	`string` `VARCHAR`
↳ `company_size`	`string` `VARCHAR`
↳ `specter_industry`	`array<string>` `VARCHAR[]`
↳ `specter_tech_verticals`	`array<array<string>>` `VARCHAR[][]`
↳ `title`	`string` `VARCHAR`
↳ `is_founder`	`boolean` `BOOLEAN`
↳ `departments`	`array<string>` `VARCHAR[]`
↳ `start_date`	`date` `DATE`
↳ `end_date`	`date` `DATE`
↳ `location`	`string` `VARCHAR`
↳ `is_current`	`boolean` `BOOLEAN`
↳ `founded_year`	`integer` `INTEGER`
↳ `job_order`	`integer` `INTEGER`
`new_position_title`	`string` `VARCHAR`	Title of the new job role.
`new_position_company_name`	`string` `VARCHAR`	Name of the company which the person started working.
`new_position_company_website`	`string` `VARCHAR`	Website of the company which the person started working.
`new_position_company_tagline`	`string` `VARCHAR`	Tagline of company the individual is joining or launching.
`past_position_title`	`string` `VARCHAR`	Title of the latest past position.
`past_position_company_name`	`string` `VARCHAR`	Name of company of the latest past position.
`past_position_company_website`	`string` `VARCHAR`	Website of the company of the latest past position.

Parquet schema: Company Data

Company Data

(
  experience                     STRUCT(
    company_name VARCHAR,
    specter_company_id VARCHAR,
    domain VARCHAR,
    linkedin_url VARCHAR,
    description VARCHAR,
    company_size VARCHAR,
    specter_industry VARCHAR[],
    specter_tech_verticals VARCHAR[][],
    title VARCHAR,
    is_founder BOOLEAN,
    departments VARCHAR[],
    start_date DATE,
    end_date DATE,
    location VARCHAR,
    is_current BOOLEAN,
    founded_year INTEGER,
    job_order INTEGER
  )[],
  new_position_title             VARCHAR,
  new_position_company_name      VARCHAR,
  new_position_company_website   VARCHAR,
  new_position_company_tagline   VARCHAR,
  past_position_title            VARCHAR,
  past_position_company_name     VARCHAR,
  past_position_company_website  VARCHAR
)

General

Field	Type	Description
`new_position_industry`	`array<string>` `VARCHAR[]`	Classifies companies by their economic activity — the market they serve and the products or services they deliver. E.g: Construction, Utilities, Wholesale There is one industry per company, with up to three levels.
`new_position_tech_verticals`	`array<array<string>>` `VARCHAR[][]`	Classifies companies by the technology domain they operate in — the technical capability or space they’re building around. E.g: AI & Machine Learning, Cybersecurity, FinTech. There can be up to 5 tech verticals per company, with 2 levels each.
`is_new_position_industry_estimated`	`boolean` `BOOLEAN`	True if new position industry and tech verticals are estimated.

Parquet schema: General

General

(
  new_position_industry               VARCHAR[],
  new_position_tech_verticals         VARCHAR[][],
  is_new_position_industry_estimated  BOOLEAN
)

Education

Field	Type	Description
`education`	`array<object>` `STRUCT(…)[]`	List of educational qualifications.
↳ `name`	`string` `VARCHAR`
↳ `linkedin_url`	`string` `VARCHAR`
↳ `field_of_study`	`string` `VARCHAR`
↳ `degree_title`	`string` `VARCHAR`
↳ `description`	`string` `VARCHAR`
↳ `start_date`	`date` `DATE`
↳ `end_date`	`date` `DATE`
↳ `location`	`string` `VARCHAR`

Parquet schema: Education

Education

(
  education  STRUCT(
    name VARCHAR,
    linkedin_url VARCHAR,
    field_of_study VARCHAR,
    degree_title VARCHAR,
    description VARCHAR,
    start_date DATE,
    end_date DATE,
    location VARCHAR
  )[]
)

Field	Type	Description
`linkedin_followers`	`integer` `INTEGER`	Number of followers on LinkedIn.
`linkedin_connections`	`integer` `INTEGER`	Number of connections on LinkedIn.

CSV column names

The CSV delivery carries the same fields under the headers below. Parquet, JSONL and the API all use the field name.

Field	CSV column
`specter_talent_signal_id`	Specter - Talent Signal ID
`specter_person_id`	Specter - Person ID
`specter_talent_signal_ids`	Specter - Talent Signal IDs
`specter_strategic_signal_ids`	Specter - Strategic Signal IDs
`signal_date`	Signal Date
`signal_score`	Signal Score
`signal_type`	Signal Type
`signal_status`	Signal Status
`out_of_stealth_advantage`	Out of Stealth Advantage
`announcement_delay`	Announcement Delay (Months)
`talent_latest_signal`	Talent Latest Signal
`signal_summary`	Signal Summary
`profile_picture`	Profile Picture
`first_name`	First Name
`last_name`	Last Name
`full_name`	Full Name
`linkedin_url`	LinkedIn - URL
`twitter_url`	Twitter - URL
`github_url`	GitHub - URL
`about`	About
`tagline`	Tagline
`tags`	Tags
`location`	Location
`region`	Region
`people_highlights`	People Highlights
`level_of_seniority`	Level of Seniority
`years_of_experience`	Years of Experience
`education_level`	Education Level
`experience`	Experience
`new_position_title`	New Position Title
`new_position_specter_company_id`	New Position Specter Company ID
`new_position_company_name`	New Position Company Name
`new_position_company_website`	New Position Company Website
`new_position_company_tagline`	New Position Company Tagline
`new_position_industry`	New Position Industry
`new_position_tech_verticals`	New Position Tech Verticals
`is_new_position_industry_estimated`	Is New Position Industry Estimated
`past_position_title`	Past Position Title
`past_position_specter_company_id`	Past Position Specter Company ID
`past_position_company_name`	Past Position Company Name
`past_position_company_website`	Past Position Company Website
`current_tenure`	Current Tenure
`average_tenure`	Average Tenure
`education`	Education
`languages`	Languages
`skills`	Skills
`linkedin_followers`	LinkedIn - Followers
`linkedin_connections`	LinkedIn - Connections

Get started

Core data

Signals

Field reference: Talent Signals

What’s in it

ID

Signal Data

Personal

Experience

Company Data

General

Education

CSV column names

​What’s in it

​ID

​Signal Data

​Personal

​Experience

​Company Data

​General

​Education

​Social Engagement

​CSV column names

What’s in it

ID

Signal Data

Personal

Experience

Company Data

General

Education

Social Engagement

CSV column names