{
  "request_id": "f81c7c4e-a92a-4b19-8d7a-3a5c08eb4e6e",
  "account_id": "3",
  "subject_ref": "mock-lead-001",
  "snapshot": {
    "version": "1.0.0",
    "scope": "linked_contact_history",
    "captured_at": "2026-01-01T12:00:00Z",
    "lead_profile": {
      "ems_lead_id": "mock-lead-001",
      "name": "Nguyen Minh An",
      "phone": "+84000000001",
      "email": "an@example.invalid",
      "status": "new",
      "custom_fields": {"region": "north", "program_interest": "data science"}
    },
    "conversations": [
      {
        "conversation_id": "mock-conversation-001",
        "channel": "webchat",
        "assigned_agent_id": "mock-agent-01",
        "messages": [
          {"message_id": "mock-message-001", "sender_type": "contact", "content": "I am interested in the data science program.", "sent_at": "2025-12-31T10:00:00Z"},
          {"message_id": "mock-message-002", "sender_type": "agent", "content": "The next cohort starts in March.", "sent_at": "2025-12-31T10:05:00Z"},
          {"message_id": "mock-message-003", "sender_type": "contact", "content": "Please send me the application requirements.", "sent_at": "2025-12-31T10:10:00Z"}
        ]
      },
      {
        "conversation_id": "mock-conversation-002",
        "channel": "email",
        "assigned_agent_id": "mock-agent-02",
        "messages": [
          {"message_id": "mock-message-004", "sender_type": "agent", "content": "I have sent the program brochure.", "sent_at": "2025-12-31T11:00:00Z"},
          {"message_id": "mock-message-005", "sender_type": "contact", "content": "Thank you, I will review it today.", "sent_at": "2025-12-31T11:15:00Z"}
        ]
      }
    ],
    "identity_context": {"match_quality": "phone_and_email", "contact_id": "mock-contact-001", "details": {"source": "local_mock_fixture"}},
    "trigger_metadata": {"trigger_type": "manual_omni", "trigger_conversation_id": "mock-conversation-002", "actor_id": "mock-user-01"}
  },
  "scoring_config": {
    "version": "mock-omni-v1",
    "rules": [
      {"id": "region-north", "field": "custom_fields.region", "operator": "eq", "value": "north", "points": 25},
      {"id": "program-interest", "field": "custom_fields.program_interest", "operator": "contains", "value": "data", "points": 35},
      {"id": "conversation-count", "field": "metrics.conversation_count", "operator": "eq", "value": 2, "points": 10},
      {"id": "contact-message-count", "field": "metrics.contact_message_count", "operator": "eq", "value": 3, "points": 10}
    ],
    "rule_weight": 1,
    "ai_weight": 0
  },
  "ai_profile": "medium"
}