curl --request POST \
--url https://api-lr.agent.ai/v1/action/meeting_prep_prepare_meeting_contacts \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"classified_attendees": "{{classified_attendees}}",
"user_email": "{{_google_email}}",
"output_variable_name": "prepared_contacts",
"use_llm_for_company_name": false
}
'{
"status": 123,
"response": {}
}Identifies target company, primary contact, and formats all contacts for research. Combines Steps 21-22 from original workflow.
curl --request POST \
--url https://api-lr.agent.ai/v1/action/meeting_prep_prepare_meeting_contacts \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"classified_attendees": "{{classified_attendees}}",
"user_email": "{{_google_email}}",
"output_variable_name": "prepared_contacts",
"use_llm_for_company_name": false
}
'{
"status": 123,
"response": {}
}Bearer token from your account (https://agent.ai/user/integrations#api)
The classified attendees from Process Calendar Event action. Contains external_attendees and internal_attendees.
Current user's email address.
Variable name to store prepared contacts.
^[a-zA-Z][a-zA-Z0-9_]*$Enable to use LLM for better company name inference from domain. Slower but more accurate.