Field reference: Investor DB

All 25 fields of the Investor DB, 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_investor_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	4
Informative Data	8
Specter Growth	1
Social Engagement	2
Financials	10

ID

Field	Type	Description
`specter_investor_id`	`string` required `VARCHAR`	Specter identifier for the investor. Resolves against the Investor DB.
`specter_strategic_signal_ids`	`array<string>` `VARCHAR[]`	All Investor Interest Signals IDs for this profile.
`specter_person_id`	`string` `VARCHAR`	Specter identifier for the person. Resolves against the People DB.
`specter_organization_id`	`string` `VARCHAR`	Specter identifier for the company the investor is, when the investor is itself a company Specter holds. The Company DB calls the same identifier `company_id`.

Parquet schema: ID

(
  specter_investor_id           VARCHAR,
  specter_strategic_signal_ids  VARCHAR[],
  specter_person_id             VARCHAR,
  specter_organization_id       VARCHAR
)

Informative Data

Field	Type	Description
`investor_name`	`string` `VARCHAR`	The legal or brand name of the investor or investment firm.
`company_size`	`string` `VARCHAR`	Estimated or declared size of the company (range of employees).
`operating_status`	`string` `VARCHAR`	Whether the investor is still active. One of `Active`, `Inactive`.
`domain`	`string` `VARCHAR`	The investor’s website domain.
`hq_location`	`string` `VARCHAR`	City-level location of the investor’s headquarters.
`founded_year`	`integer` `SMALLINT`	Year the investor was founded.
`investor_types`	`array<string>` `VARCHAR[]`	High-level classification(s) of the investor (e.g., venture capital, private equity firm). One of 22 values, listed below the table.
`description`	`string` `VARCHAR`	Overview of the investor’s activity, history and focus.

Parquet schema: Informative Data

Informative Data

(
  investor_name     VARCHAR,
  company_size      VARCHAR,
  operating_status  VARCHAR,
  domain            VARCHAR,
  hq_location       VARCHAR,
  founded_year      SMALLINT,
  investor_types    VARCHAR[],
  description       VARCHAR
)

Accepted values for investor_types

Accelerator
Angel
Angel Group
Co Working Space
Corporate Venture Capital
Entrepreneurship Program
Family Investment Office
Fund Of Funds
Government Office
Hedge Fund
Incubator
Investment Bank
Investment Partner
Micro Vc
Pension Funds
Private Equity Firm
Secondary Purchaser
Startup Competition
Syndicate
University Program
Venture Capital
Venture Debt

Specter Growth

Field	Type	Description
`investor_rank`	`integer` `INTEGER`	Internal ranking or scoring value assigned to the investor.

Parquet schema: Specter Growth

Specter Growth

(
  investor_rank  INTEGER
)

Field	Type	Description
`linkedin_url`	`string` `VARCHAR`	URL of the investor’s LinkedIn page.
`twitter_url`	`string` `VARCHAR`	URL of the investor’s X (Twitter) profile.

Financials

Field	Type	Description
`number_of_exits`	`integer` `INTEGER`	How many exits (e.g. Acquisitions or IPOs) the firm has participated in.
`number_of_lead_investments`	`integer` `INTEGER`	Count of deals in which the firm acted as the lead investor.
`number_of_investments`	`integer` `INTEGER`	Total investments (including non-lead) made by the firm.
`number_of_funds`	`integer` `INTEGER`	Total number of separate funds managed or raised by the firm.
`investment_stage`	`array<string>` `VARCHAR[]`	Typical funding round stages in which the investor participates (e.g., seed, series a). One of 28 values, listed below the table.
`industry_target`	`array<string>` `VARCHAR[]`	Only top level. 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.
`industry_target_legacy`	`string` `VARCHAR`	The industries this investor targets, classified with Specter’s legacy industry taxonomy. Read `industry_target` instead, which classifies them with the current taxonomy, so its values differ as well as its shape. In CSV, values are separated by `;`. Removed from the dataset on 2026-10-31.
`tech_verticals_target`	`array<string>` `VARCHAR[]`	Only top level. 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.
`fund_details`	`array<object>` `STRUCT(…)[]`	JSON or structured field containing additional information on each fund (name, size, announced date, etc.).
↳ `announced_on`	`date` `DATE`
↳ `name`	`string` `VARCHAR`
↳ `raised_amount_usd`	`string` `VARCHAR`
`portfolio_companies`	`array<string>` `VARCHAR[]`	Portfolio companies of the fund.

Parquet schema: Financials

Financials

(
  number_of_exits             INTEGER,
  number_of_lead_investments  INTEGER,
  number_of_investments       INTEGER,
  number_of_funds             INTEGER,
  investment_stage            VARCHAR[],
  industry_target             VARCHAR[],
  industry_target_legacy      VARCHAR,
  tech_verticals_target       VARCHAR[],
  fund_details                STRUCT(
    announced_on DATE,
    name VARCHAR,
    raised_amount_usd VARCHAR
  )[],
  portfolio_companies         VARCHAR[]
)

Accepted values for investment_stage

Angel
Convertible Note
Corporate Round
Debt Financing
Equity Crowdfunding
Grant
Initial Coin Offering
Non Equity Assistance
Post Ipo Debt
Post Ipo Equity
Post Ipo Secondary
Pre Seed
Private Equity
Product Crowdfunding
Secondary Market
Seed
Series A
Series B
Series C
Series D
Series E
Series F
Series G
Series H
Series I
Series J
Series Unknown
Undisclosed

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_investor_id`	Specter - Investor ID
`specter_strategic_signal_ids`	Specter - Strategic Signal IDs
`specter_person_id`	Specter - Person ID
`specter_organization_id`	Specter - Organization ID
`investor_name`	Investor Name
`investor_rank`	Investor Rank
`company_size`	Company Size
`operating_status`	Operating Status
`domain`	Domain
`hq_location`	HQ Location
`founded_year`	Founded Year
`investor_types`	Investor Types
`linkedin_url`	LinkedIn - URL
`twitter_url`	Twitter - URL
`description`	Description
`number_of_exits`	Number of Exits
`number_of_lead_investments`	Number of Lead Investments
`number_of_investments`	Number of Investments
`number_of_funds`	Number of Funds
`investment_stage`	Investment Stage
`industry_target`	Industry Target
`industry_target_legacy`	Industry Target [Legacy]
`tech_verticals_target`	Tech Verticals Target
`fund_details`	Fund Details
`portfolio_companies`	Portfolio Companies

Get started

Core data

Signals

Field reference: Investor DB

What’s in it

ID

Informative Data

Specter Growth

Financials

CSV column names

​What’s in it

​ID

​Informative Data

​Specter Growth

​Social Engagement

​Financials

​CSV column names

What’s in it

ID

Informative Data

Specter Growth

Social Engagement

Financials

CSV column names