curl --request POST \
--url https://api-lr.agent.ai/v1/action/company_research_v2_ask_domain_question \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"domain": "<string>",
"question": "<string>",
"output_variable_name": "question_result",
"use_report_context": true,
"use_live_search": true
}
'{
"status": 123,
"response": {}
}Ask a custom research question about a company domain. Answers are cached per user/domain.
curl --request POST \
--url https://api-lr.agent.ai/v1/action/company_research_v2_ask_domain_question \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"domain": "<string>",
"question": "<string>",
"output_variable_name": "question_result",
"use_report_context": true,
"use_live_search": true
}
'{
"status": 123,
"response": {}
}Bearer token from your account (https://agent.ai/user/integrations#api)
Domain to research (e.g., hubspot.com).
Your research question (e.g., 'What is their pricing model?').
Variable name for the answer result.
^[a-zA-Z][a-zA-Z0-9_]*$Include existing company research data as context for better answers.
Include live web search for more current information.