ACTION_ID: company_funding_and_acquisition
NAME: Floqer: Enrich Company Funding
CATEGORY: Company Enrichment
CREDITS: 1

Return a company's funding and acquisition history — round count, first
and last round type/value/date, investor lists, IPO status and acquirer.

1. INPUTS

company_name (type: string, optional)
  Company Name. The name of the company to enrich

company_domain (type: url, optional)
  Company Domain. The domain/website of the company (e.g.,
  example.com)

company_linkedin_url (type: url, optional)
  Company LinkedIn URL. LinkedIn company page URL (e.g.,
  linkedin.com/company/example)

country_code (type: string, optional)
  Country Code. Two-letter country code (e.g., US, GB, DE)

2. OUTPUTS

domain (string) — Company domain

company_name (string) — Company name

investors (string) — List of investors

number_of_advisors (number) — Number of advisors

number_of_news (number) — Number of news articles

current_advisors (string) — Current advisors

ipo_size_usd (number) — IPO size in USD

ipo_date (string) — IPO date

is_ipo (string) — Whether company has had an IPO

first_round_investors_count (number) — Number of investors in first
funding round

first_round_value_usd (number) — First funding round value in USD

first_round_type (string) — Type of first funding round

first_round_date (string) — Date of first funding round

number_of_funding_rounds (number) — Total number of funding rounds

acquired_by (string) — Company that acquired this company

latest_funding_increase (number) — Latest funding increase percentage

last_round_date (string) — Date of last funding round

last_round_value_usd (number) — Last funding round value in USD

last_round_type (string) — Type of last funding round

last_round_investors_count (number) — Number of investors in last
funding round

funding_rounds_info (string) — Detailed information about all funding
rounds

known_funding_total_value (number) — Total known funding value

3. HOW TO CONFIGURE

All four identifiers are optional; supply as many as the row has.
Configure Action body:

{
  "inputs": {
    "company_name": "{{input.company_name}}",
    "company_domain": "{{input.company_domain}}",
    "company_linkedin_url": "{{input.company_linkedin_url}}",
    "country_code": "US"
  }
}

Field-by-field:
  - company_domain     The strongest single identifier.
  - country_code       Two-letter ISO code. Disambiguates companies that
                       share a name across markets.
  - company_name       Weakest on its own — pair it with a country code.

4. KEY NOTES

- Every identifier is optional, but the action fails the row when none
  resolves to a value. Gate with `run_if` on the domain being non-empty.
- `last_funding_round_date` plus `last_funding_round_type` is the usual
  buying-signal pair — a Series A closed in the last quarter is the
  classic trigger.
- `acquired_by` being non-empty is a strong disqualifier for most
  outbound motions; filter on it early.
- `funding_rounds_info` is a single string blob describing every round,
  not a structured array. Parse it in a `formula` or feed it to an LLM
  if you need per-round detail.
- Coverage skews to companies with press coverage. Bootstrapped and
  non-US companies often return empty round data even when the company
  is real.

5. WHERE IT FITS IN A WORKFLOW

Pattern: floqer_company_firmographics -> company_funding_and_acquisition
-> filter (last_funding_round_date is after <date>) ->
get_employees_by_company_using_floqer_native.

6. WHEN TO USE

Use company_funding_and_acquisition to build a recently-funded target
list, or to disqualify companies that have already been acquired.

7. WHEN NOT TO USE

Need funding data alongside full firmographics in one call
  -> action-detail/company_enrich_using_people_data_labs.txt

Need the news article behind the round
  -> action-detail/company_news_events_from_predictleads.txt

Last updated: 2026-08-03.