Field reference: Investor Interest Signals

All 29 fields of the Investor Interest 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 strategic_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	3
Signal Data	6
Company / Personal Data	16
Financials	4

ID

Field	Type	Description
`strategic_signal_id`	`string` required `VARCHAR`	Investor Interest ID.
`specter_person_id`	`string` `VARCHAR`	Specter identifier for the person. Resolves against the People DB.
`company_id`	`string` `VARCHAR`	Specter identifier for the company. Resolves against the Company DB.

Parquet schema: ID

(
  strategic_signal_id  VARCHAR,
  specter_person_id    VARCHAR,
  company_id           VARCHAR
)

Signal Data

Field	Type	Description
`signal_date`	`date` `DATE`	Signal featured date.
`signal_score`	`integer` `TINYINT`	Signal score from Specter’s proprietary algorithm, 1 to 10, with 10 the highest. Based on signal source, signal strength and company performance.
`source_type`	`string` `VARCHAR`	Based on signal source. A signal with several sources lists each, separated by `;` . One of `venture capital`, `insider`, `private equity`, `investment bank`, `angel`, `journalist`, `influencer`.
`signal_type`	`string` `VARCHAR`	Whether the signal is about a company or a person. One of `Talent`, `Company`.
`signal_source`	`string` `VARCHAR`	The VC firm, corporation, or individual that is the source of the signal.
`signal_summary`	`string` `VARCHAR`	Brief on the investor activity and what the company does.

Parquet schema: Signal Data

Signal Data

(
  signal_date     DATE,
  signal_score    TINYINT,
  source_type     VARCHAR,
  signal_type     VARCHAR,
  signal_source   VARCHAR,
  signal_summary  VARCHAR
)

Company / Personal Data

Field	Type	Description
`name`	`string` `VARCHAR`	Name of the company or person the signal is about.
`website`	`string` `VARCHAR`	Company website URL or LinkedIn personal profile URL in case of a Signal Type = Talent.
`screenshot`	`string` `VARCHAR`	Company website screenshot.
`hq_location`	`string` `VARCHAR`	City-level location of the company’s headquarters.
`hq_region`	`string` `VARCHAR`	Region the company’s headquarters sits in. One of `Africa`, `Asia`, `Oceania`, `Canada`, `Europe`, `LATAM`, `MENA`, `United States`, `Russia`.
`growth_stage`	`string` `VARCHAR`	Stage the company has reached in its growth. One of `Pre-Launch`, `Bootstrapped`, `Early Stage`, `Growth Stage`, `Late Stage`.
`company_linkedin_url`	`string` `VARCHAR`	URL of the company’s LinkedIn page.
`twitter_url`	`string` `VARCHAR`	URL of the company’s X (Twitter) profile.
`talent_github_url`	`string` `VARCHAR`	GitHub profile URL (only available when Signal Type = Talent)
`contact_email`	`string` `VARCHAR`	Recommended contact email address for the person behind the signal.
`company_description`	`string` `VARCHAR`	Short description of what the company does.
`company_founded_year`	`integer` `SMALLINT`	Company founded date.
`customer_focus`	`string` `VARCHAR`	This data point categorizes companies based on their primary and secondary customer engagement models. One of `B2B`, `B2C`, `B2B,B2C`, `B2C,B2B`.
`specter_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.
`specter_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_industry_estimated`	`boolean` `BOOLEAN`	True if new position industry and tech verticals are estimated.

Parquet schema: Company / Personal Data

Company / Personal Data

(
  name                    VARCHAR,
  website                 VARCHAR,
  screenshot              VARCHAR,
  hq_location             VARCHAR,
  hq_region               VARCHAR,
  growth_stage            VARCHAR,
  company_linkedin_url    VARCHAR,
  twitter_url             VARCHAR,
  talent_github_url       VARCHAR,
  contact_email           VARCHAR,
  company_description     VARCHAR,
  company_founded_year    SMALLINT,
  customer_focus          VARCHAR,
  specter_industry        VARCHAR[],
  specter_tech_verticals  VARCHAR[][],
  is_industry_estimated   BOOLEAN
)

Financials

Field	Type	Description
`company_funding_amount_usd`	`string` `VARCHAR`	Total funding the company has raised, in USD. Delivered as a string of digits, without a currency symbol or separators.
`company_last_funding_date`	`date` `DATE`	Date of the company’s most recent funding round.
`company_last_funding_amount_usd`	`string` `VARCHAR`	Amount of the company’s most recent funding round, in USD. Delivered as a string of digits, without a currency symbol or separators.
`company_investors`	`array<string>` `VARCHAR[]`	Investors in the company.

Parquet schema: Financials

Financials

(
  company_funding_amount_usd       VARCHAR,
  company_last_funding_date        DATE,
  company_last_funding_amount_usd  VARCHAR,
  company_investors                VARCHAR[]
)

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
`strategic_signal_id`	Specter - Strategic Signal ID
`specter_person_id`	Specter - Person ID
`company_id`	Specter - Organization ID
`signal_date`	Signal Date
`signal_score`	Signal Score
`source_type`	Source Type
`signal_type`	Signal Type
`signal_source`	Signal Sources
`signal_summary`	Signal Summary
`name`	Name
`website`	Website
`screenshot`	Screenshots
`hq_location`	HQ Location
`hq_region`	HQ Region
`growth_stage`	Growth Stage
`company_linkedin_url`	LinkedIn - URL
`twitter_url`	Twitter - URL
`talent_github_url`	GitHub - URL
`contact_email`	Email
`company_description`	Description
`company_founded_year`	Founded
`customer_focus`	Customer Focus
`specter_industry`	Industry
`specter_tech_verticals`	Tech Verticals
`is_industry_estimated`	Is Industry Estimated
`company_funding_amount_usd`	Total Funding Amount (in USD)
`company_last_funding_date`	Last Funding Date
`company_last_funding_amount_usd`	Last Funding Amount (in USD)
`company_investors`	Investors

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Core data

Signals

Field reference: Investor Interest Signals

What’s in it

ID

Signal Data

Company / Personal Data

Financials

CSV column names

​What’s in it

​ID

​Signal Data

​Company / Personal Data

​Financials

​CSV column names

What’s in it

ID

Signal Data

Company / Personal Data

Financials

CSV column names