Updates how one analyzer behaves. update_behavior controls what happens when the AI finds a value: dont_update ignores it, update_if_empty saves only if the field is empty, ask_approval_if_existing asks for approval when replacing an existing value, manual_approval always requires approval, and automatic_update saves automatically. analysis_goals explains what the AI should extract. example_values gives sample values for better extraction. For built-in b_* contact fields, only update_behavior can be changed. For pipeline analyzers, example_values is not used.
Documentation Index
Fetch the complete documentation index at: https://developers.mindhunters.ai/llms.txt
Use this file to discover all available pages before exploring further.
Use a Bearer token to access these API endpoints. Example: "Bearer {your-token}"
Analyzer identifier to update. Prefix meaning: b_ = built-in contact field, f_ = custom contact field, p_ = pipeline stage rule. Examples: f_order_number, p_initial_contact.
How extracted values should be applied.
dont_update, update_if_empty, ask_approval_if_existing, manual_approval, automatic_update "automatic_update"
Short instruction telling the AI what information to extract.
1000"Extract the order number whenever the customer mentions it."
Optional sample values. Used for contact field analyzers; not used for pipeline analyzers.
1000"ORD-1001\\n9192 001023\\nTEST-ORDER-42"
Analyzer updated