Obter uso de conectores
GET/v1/organizations/analytics/connectors
Obtém o uso por conector em um determinado dia, com paginação baseada em cursor.
Retorna métricas de uso de conectores da organização, ordenadas por nome do
conector. Os nomes dos conectores são normalizados a partir de suas várias origens — por
exemplo, "Atlassian MCP server" e "mcp-atlassian" aparecem ambos como
"atlassian". Use group_by[] para detalhar o uso por membro, por grupo
RBAC ou por superfície de produto, e filter[] para restringir os resultados; as
descrições dos parâmetros listam as dimensões compatíveis. Disponível para
organizações em um plano Claude Enterprise. Requer uma chave de API com o
escopo read:analytics.
Parameters
Returns
Obter uso de conectores
import os
from anthropic import Anthropic
client = Anthropic(
api_key=os.environ.get(
"ANTHROPIC_API_KEY"
), # This is the default and can be omitted
)
page = client.beta.organization.analytics.connectors.list()
page = page.data[0]
print(page.individual_auth_distinct_user_count)Response 200
{
"data": [
{
"chat_metrics": {
"distinct_conversation_connector_used_count": 0
},
"claude_code_metrics": {
"distinct_session_connector_used_count": 0
},
"connector_name": "connector_name",
"cowork_metrics": {
"distinct_session_connector_used_count": 0
},
"distinct_user_count": 0,
"office_metrics": {
"excel": {
"distinct_session_connector_used_count": 0
},
"outlook": {
"distinct_session_connector_used_count": 0
},
"powerpoint": {
"distinct_session_connector_used_count": 0
},
"word": {
"distinct_session_connector_used_count": 0
}
},
"chat_cowork_unified_metrics": {
"chat": {
"distinct_conversation_connector_used_count": 0
},
"sessions": {
"distinct_session_connector_used_count": 0
}
},
"connector_display_name": "connector_display_name",
"individual_auth_distinct_user_count": 0,
"managed_auth_distinct_user_count": 0,
"product": "product",
"rbac_group_id": "rbac_group_id",
"rbac_group_name": "rbac_group_name",
"read_call_count": 0,
"unclassified_call_count": 0,
"user_id": "user_id",
"write_call_count": 0
}
],
"next_page": "next_page"
}Returns Examples
Response 200
{
"data": [
{
"chat_metrics": {
"distinct_conversation_connector_used_count": 0
},
"claude_code_metrics": {
"distinct_session_connector_used_count": 0
},
"connector_name": "connector_name",
"cowork_metrics": {
"distinct_session_connector_used_count": 0
},
"distinct_user_count": 0,
"office_metrics": {
"excel": {
"distinct_session_connector_used_count": 0
},
"outlook": {
"distinct_session_connector_used_count": 0
},
"powerpoint": {
"distinct_session_connector_used_count": 0
},
"word": {
"distinct_session_connector_used_count": 0
}
},
"chat_cowork_unified_metrics": {
"chat": {
"distinct_conversation_connector_used_count": 0
},
"sessions": {
"distinct_session_connector_used_count": 0
}
},
"connector_display_name": "connector_display_name",
"individual_auth_distinct_user_count": 0,
"managed_auth_distinct_user_count": 0,
"product": "product",
"rbac_group_id": "rbac_group_id",
"rbac_group_name": "rbac_group_name",
"read_call_count": 0,
"unclassified_call_count": 0,
"user_id": "user_id",
"write_call_count": 0
}
],
"next_page": "next_page"
}