Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
topics, groups, types and subtypes filters, which take the values the results publish in topic, group, type and subtype. Use Filter Values to list the values each one accepts.
Once you have the IDs, you can use them to filter your search queries with an Topic query filter.
curl -X POST 'https://api.bigdata.com/v1/knowledge-graph/topics' \
-H 'Content-Type: application/json' \
-H 'X-API-KEY: <your-api-key>' \
--data '{
"query": "Earnings",
"groups": ["earnings"]
}'
from dotenv import load_dotenv
from bigdata_client import Bigdata
import os
load_dotenv()
# Initialize the Bigdata API
username = os.environ.get("BIGDATA_USERNAME")
password = os.environ.get("BIGDATA_PASSWORD")
bigdata = Bigdata(username, password)
results = bigdata.knowledge_graph.find_topics("board")
for topic in results:
print(f"Topic ID: {topic.id}")
print(f"Topic: {topic.topic}")
print(f"Group : {topic.topic_group}")
print(f"Topic Name: {topic.name}")
print(f"Description: {topic.description}\n")
{
"results": [
{
"id": "business,earnings,earnings,,",
"name": "Earnings",
"description": "Net income of a company",
"topic": "business",
"group": "earnings",
"type": "earnings"
},
...
],
"metadata": {
"request_id": "2a25111e-0043-4fe2-946e-668aa5af928a",
"timestamp": "2026-07-02T13:24:45.163695+00:00"
}
}
Topic ID: business,labor-issues,board-member-appointment,,
Topic: business
Group : labor-issues
Topic Name: Board Member Appointment
Description: A new member of the board is appointed
Topic ID: business,investor-relations,board-meeting,,
Topic: business
Group : investor-relations
Topic Name: Board Meeting
Description: A formal gathering of the board of directors of a company
...
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