Organizations
Search and chart knowledge-graph organizations linked to your topics.
Organization facts are canonical company and institution records from the knowledge graph. See also how organizations are modeled.
Endpoints:
POST /facts/organizations/search— playgroundPOST /facts/organizations/time-series— playground
Time series buckets use founded-on dates.
Typical Questions
- Which companies are present for this topic?
- Is new company formation accelerating?
- Which organizations have the strongest topic link (
certainty)?
Type-specific filters
On top of the shared fact fields:
employeesCounts— size buckets such as1-10,51-100,10001+sortColumn—name(default),founded_on, orcertaintyfields— response field selection (defaults includeid,name,foundedOn,certainty,employeesCount)
Request Patterns
Search
{
"topicQuery": "11111111-1111-1111-1111-111111111111",
"query": "northvolt",
"employeesCounts": ["51-100", "101-250"],
"take": 25,
"sortColumn": "name",
"sortDirection": "asc"
}Time series
{
"topicQuery": "11111111-1111-1111-1111-111111111111",
"resolution": "year",
"start": "2010-01-01",
"end": "2024-12-31"
}Response Notes
Each organization includes id, name, foundedOn, certainty, and employeesCount unless you narrow fields. Time series returns labels and counts. Organizations without foundedOn are counted in withoutLabel.
Add labels to fields to also get every name the organization is known under, including alternative spellings, acronyms and legal-form variants. name is the main label and is part of that list.
{
"query": "northvolt",
"fields": ["id", "name", "labels"]
}