Extracted Topics

Returns free-form topics extracted from each document (filing, transcript, exhibit) for this company, aggregated over the requested date window.

Unlike the predefined 100-topic taxonomy, these are company-specific themes discovered by GPT-4o-mini and are unique per filing — e.g. “iPhone 16 supply chain disruption”, “FTC antitrust consent decree”, “India expansion phase 2”.

Topics are ranked by doc_count (how many documents mention this theme) then by avg_importance.

GET /v1/companies/{cik}/topics/extracted

Free-form extracted topics for a company over time

cURL

curl --request GET \
  --url https://api.ivory.finance/v1/companies/{cik}/topics/extracted \
  --header 'X-API-Key: <api-key>'

200

{
  "cik": "<string>",
  "period": {},
  "topics": [
    {
      "topic_name": "<string>",
      "doc_count": 123,
      "avg_importance": 123,
      "avg_sentiment": 123,
      "latest_date": "2023-12-25",
      "earliest_date": "2023-12-25"
    }
  ],
  "company_name": "<string>"
}

Authorizations

X-API-Key · string · header · required

Path Parameters

cik · string · required

Query Parameters

date_from · string<date> | null

Default: 3 years ago

date_to · string<date> | null

source_type · string · default: all

limit · integer · default: 30

Required range: 1 <= x <= 100

Response

200

application/json

Successful Response

cik · string · required

period · Period · object · required

topics · ExtractedTopicRow · object[] · required

Show child attributes

company_name · string | null