Zendesk-Chat full reference

This is the full reference documentation for the Zendesk-Chat agent connector.

Supported entities and actions

The Zendesk-Chat connector supports the following entities and actions.

Entity	Actions
Accounts	Get
Agents	List, Get, Context Store Search, Context Store SQL Query
Agent Timeline	List
Bans	List, Get
Chats	List, Get, Context Store Search, Context Store SQL Query
Departments	List, Get, Context Store Search, Context Store SQL Query
Goals	List, Get
Roles	List, Get
Routing Settings	Get
Shortcuts	List, Get, Context Store Search, Context Store SQL Query
Skills	List, Get
Triggers	List, Context Store Search, Context Store SQL Query

Accounts

Accounts Get

Returns the account information for the authenticated user

CLI

airbyte-agent connectors execute --json '{
  "workspace": "<your_workspace_name>",
  "name": "zendesk-chat",
  "entity": "accounts",
  "action": "get"
}'

Python SDK

await zendesk_chat.accounts.get()

API

curl --location 'https://api.airbyte.ai/api/v1/integrations/connectors/{your_connector_id}/execute' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer {your_auth_token}' \
--data '{
    "entity": "accounts",
    "action": "get"
}'

Response Schema

Records

Field Name	Type	Description
`account_key`	`string`
`status`	`string \| null`
`create_date`	`string \| null`
`billing`	`object \| any`
`plan`	`object \| any`

Agents

Agents List

List all agents

CLI

airbyte-agent connectors execute --json '{
  "workspace": "<your_workspace_name>",
  "name": "zendesk-chat",
  "entity": "agents",
  "action": "list"
}'

Python SDK

await zendesk_chat.agents.list()

API

curl --location 'https://api.airbyte.ai/api/v1/integrations/connectors/{your_connector_id}/execute' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer {your_auth_token}' \
--data '{
    "entity": "agents",
    "action": "list"
}'

Parameters

Parameter Name	Type	Required	Description
`limit`	`integer`	No
`since_id`	`integer`	No

Response Schema

Records

Field Name	Type	Description
`id`	`integer`
`email`	`string \| null`
`display_name`	`string \| null`
`first_name`	`string \| null`
`last_name`	`string \| null`
`enabled`	`boolean \| null`
`role_id`	`integer \| null`
`roles`	`object \| any`
`departments`	`array \| null`
`enabled_departments`	`array \| null`
`skills`	`array \| null`
`scope`	`string \| null`
`create_date`	`string \| null`
`last_login`	`string \| null`
`login_count`	`integer \| null`

Agents Get

Get an agent

CLI

airbyte-agent connectors execute --json '{
  "workspace": "<your_workspace_name>",
  "name": "zendesk-chat",
  "entity": "agents",
  "action": "get",
  "params": {
    "agent_id": 0
  }
}'

Python SDK

await zendesk_chat.agents.get(
    agent_id=0
)

API

curl --location 'https://api.airbyte.ai/api/v1/integrations/connectors/{your_connector_id}/execute' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer {your_auth_token}' \
--data '{
    "entity": "agents",
    "action": "get",
    "params": {
        "agent_id": 0
    }
}'

Parameters

Parameter Name	Type	Required	Description
`agent_id`	`integer`	Yes

Response Schema

Records

Field Name	Type	Description
`id`	`integer`
`email`	`string \| null`
`display_name`	`string \| null`
`first_name`	`string \| null`
`last_name`	`string \| null`
`enabled`	`boolean \| null`
`role_id`	`integer \| null`
`roles`	`object \| any`
`departments`	`array \| null`
`enabled_departments`	`array \| null`
`skills`	`array \| null`
`scope`	`string \| null`
`create_date`	`string \| null`
`last_login`	`string \| null`
`login_count`	`integer \| null`

Agents Context Store Search

Search and filter agents records powered by Airbyte's data sync. This often provides additional fields and operators beyond what the API natively supports, making it easier to narrow down results before performing further operations. Only available in hosted mode.

CLI

airbyte-agent connectors execute --json '{
  "workspace": "<your_workspace_name>",
  "name": "zendesk-chat",
  "entity": "agents",
  "action": "context_store_search",
  "params": {
    "query": {
      "filter": {
        "eq": {
          "id": 0
        }
      }
    }
  }
}'

Python SDK

await zendesk_chat.agents.context_store_search(
    query={"filter": {"eq": {"id": 0}}}
)

API

curl --location 'https://api.airbyte.ai/api/v1/integrations/connectors/{your_connector_id}/execute' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer {your_auth_token}' \
--data '{
    "entity": "agents",
    "action": "context_store_search",
    "params": {
        "query": {"filter": {"eq": {"id": 0}}}
    }
}'

Parameters

Parameter Name	Type	Required	Description
`query`	`object`	Yes	Filter and sort conditions. Supports operators: eq, neq, gt, gte, lt, lte, in, startswith, endswith, contains, array_contains, fuzzy, keyword, not, and, or
`query.filter`	`object`	No	Filter conditions
`query.sort`	`array`	No	Sort conditions
`limit`	`integer`	No	Maximum results to return (default 1000)
`cursor`	`string`	No	Pagination cursor from previous response's `meta.cursor`
`fields`	`array`	No	Field paths to include in results

Searchable Fields

Field Name	Type	Description
`id`	`integer`	Unique agent identifier
`email`	`string`	Agent email address
`display_name`	`string`	Agent display name
`first_name`	`string`	Agent first name
`last_name`	`string`	Agent last name
`enabled`	`boolean`	Whether agent is enabled
`role_id`	`integer`	Agent role ID
`departments`	`array`	Department IDs agent belongs to
`create_date`	`string`	When agent was created

Response Schema

Field Name	Type	Description
`data`	`array`	List of matching records
`meta`	`object`	Pagination metadata
`meta.has_more`	`boolean`	Whether additional pages are available
`meta.cursor`	`string \| null`	Cursor for next page of results
`meta.took_ms`	`number \| null`	Query execution time in milliseconds
`data[].id`	`integer`	Unique agent identifier
`data[].email`	`string`	Agent email address
`data[].display_name`	`string`	Agent display name
`data[].first_name`	`string`	Agent first name
`data[].last_name`	`string`	Agent last name
`data[].enabled`	`boolean`	Whether agent is enabled
`data[].role_id`	`integer`	Agent role ID
`data[].departments`	`array`	Department IDs agent belongs to
`data[].create_date`	`string`	When agent was created

Agents Context Store SQL Query

Run a SQL query against agents records in the Airbyte Context Store. SQL projections may return any set of columns, so each result row is a dictionary matching the query's selected fields. Only available in hosted mode.

Use the hosted server documentation to find the qualified Context Store table name and SQL guidance.

CLI

airbyte-agent connectors execute --json '{
  "workspace": "<your_workspace_name>",
  "name": "zendesk-chat",
  "entity": "agents",
  "action": "context_store_sql_query",
  "params": {
    "sql": "SELECT * FROM <qualified_context_store_table> LIMIT 100"
  }
}'

Python SDK

await zendesk_chat.agents.context_store_sql_query(
    sql="SELECT * FROM <qualified_context_store_table> LIMIT 100"
)

API

curl --location 'https://api.airbyte.ai/api/v1/integrations/connectors/{your_connector_id}/execute' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer {your_auth_token}' \
--data '{
    "entity": "agents",
    "action": "context_store_sql_query",
    "params": {
        "sql": "SELECT * FROM <qualified_context_store_table> LIMIT 100"
    }
}'

Parameters

Parameter Name	Type	Required	Description
`sql`	`string`	Yes	SQL query to execute against this entity's Context Store data
`limit`	`integer`	No	Maximum results to return

Response Schema

Field Name	Type	Description
`data`	`array`	Projected rows, with dictionary keys matching the selected columns
`meta`	`object`	Query metadata
`meta.has_more`	`boolean`	Whether the result was limited and more rows are available
`meta.cursor`	`null`	SQL query results do not use cursor pagination
`meta.took_ms`	`number \| null`	Query execution time in milliseconds

Agent Timeline

Agent Timeline List

List agent timeline (incremental export)

CLI

airbyte-agent connectors execute --json '{
  "workspace": "<your_workspace_name>",
  "name": "zendesk-chat",
  "entity": "agent_timeline",
  "action": "list"
}'

Python SDK

await zendesk_chat.agent_timeline.list()

API

curl --location 'https://api.airbyte.ai/api/v1/integrations/connectors/{your_connector_id}/execute' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer {your_auth_token}' \
--data '{
    "entity": "agent_timeline",
    "action": "list"
}'

Parameters

Parameter Name	Type	Required
`start_time`	`integer`	No
`limit`	`integer`	No
`fields`	`string`	No

Response Schema

Records

Field Name	Type	Description
`agent_id`	`integer`
`start_time`	`string \| null`
`status`	`string \| null`
`duration`	`number \| null`
`engagement_count`	`integer \| null`

Field Name	Type	Description
`next_page`	`string \| null`
`count`	`integer`

Bans

Bans List

List all bans

CLI

airbyte-agent connectors execute --json '{
  "workspace": "<your_workspace_name>",
  "name": "zendesk-chat",
  "entity": "bans",
  "action": "list"
}'

Python SDK

await zendesk_chat.bans.list()

API

curl --location 'https://api.airbyte.ai/api/v1/integrations/connectors/{your_connector_id}/execute' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer {your_auth_token}' \
--data '{
    "entity": "bans",
    "action": "list"
}'

Parameters

Parameter Name	Type	Required	Description
`limit`	`integer`	No
`since_id`	`integer`	No

Bans Get

Get a ban

CLI

airbyte-agent connectors execute --json '{
  "workspace": "<your_workspace_name>",
  "name": "zendesk-chat",
  "entity": "bans",
  "action": "get",
  "params": {
    "ban_id": 0
  }
}'

Python SDK

await zendesk_chat.bans.get(
    ban_id=0
)

API

curl --location 'https://api.airbyte.ai/api/v1/integrations/connectors/{your_connector_id}/execute' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer {your_auth_token}' \
--data '{
    "entity": "bans",
    "action": "get",
    "params": {
        "ban_id": 0
    }
}'

Parameters

Parameter Name	Type	Required	Description
`ban_id`	`integer`	Yes

Response Schema

Records

Field Name	Type	Description
`id`	`integer`
`type`	`string \| null`
`ip_address`	`string \| null`
`visitor_id`	`string \| null`
`visitor_name`	`string \| null`
`reason`	`string \| null`
`created_at`	`string \| null`

Chats

Chats List

List chats (incremental export)

CLI

airbyte-agent connectors execute --json '{
  "workspace": "<your_workspace_name>",
  "name": "zendesk-chat",
  "entity": "chats",
  "action": "list"
}'

Python SDK

await zendesk_chat.chats.list()

API

curl --location 'https://api.airbyte.ai/api/v1/integrations/connectors/{your_connector_id}/execute' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer {your_auth_token}' \
--data '{
    "entity": "chats",
    "action": "list"
}'

Parameters

Parameter Name	Type	Required
`start_time`	`integer`	No
`limit`	`integer`	No
`fields`	`string`	No

Response Schema

Records

Field Name	Type	Description
`id`	`string`
`type`	`string \| null`
`timestamp`	`string \| null`
`update_timestamp`	`string \| null`
`duration`	`integer \| null`
`department_id`	`integer \| null`
`department_name`	`string \| null`
`agent_ids`	`array \| null`
`agent_names`	`array \| null`
`visitor`	`object \| any`
`session`	`object \| any`
`history`	`array \| null`
`history[].type`	`string \| null`
`history[].timestamp`	`string \| null`
`history[].name`	`string \| null`
`history[].nick`	`string \| null`
`history[].msg`	`string \| null`
`history[].msg_id`	`string \| null`
`history[].channel`	`string \| null`
`history[].department_id`	`integer \| null`
`history[].department_name`	`string \| null`
`history[].rating`	`string \| null`
`history[].new_rating`	`string \| null`
`history[].tags`	`array \| null`
`history[].new_tags`	`array \| null`
`history[].options`	`string \| null`
`engagements`	`array \| null`
`engagements[].id`	`string \| null`
`engagements[].agent_id`	`string \| null`
`engagements[].agent_name`	`string \| null`
`engagements[].agent_full_name`	`string \| null`
`engagements[].department_id`	`integer \| null`
`engagements[].timestamp`	`string \| null`
`engagements[].duration`	`number \| null`
`engagements[].accepted`	`boolean \| null`
`engagements[].assigned`	`boolean \| null`
`engagements[].started_by`	`string \| null`
`engagements[].rating`	`string \| null`
`engagements[].comment`	`string \| null`
`engagements[].count`	`object \| any`
`engagements[].response_time`	`object \| any`
`engagements[].skills_requested`	`array \| null`
`engagements[].skills_fulfilled`	`boolean \| null`
`conversions`	`array \| null`
`conversions[].id`	`string \| null`
`conversions[].goal_id`	`integer \| null`
`conversions[].goal_name`	`string \| null`
`conversions[].timestamp`	`string \| null`
`conversions[].attribution`	`object \| any`
`count`	`object \| any`
`response_time`	`object \| any`
`rating`	`string \| null`
`comment`	`string \| null`
`tags`	`array \| null`
`started_by`	`string \| null`
`triggered`	`boolean \| null`
`triggered_response`	`boolean \| null`
`missed`	`boolean \| null`
`unread`	`boolean \| null`
`deleted`	`boolean \| null`
`message`	`string \| null`
`webpath`	`array \| null`
`webpath[].from`	`string \| null`
`webpath[].timestamp`	`string \| null`
`zendesk_ticket_id`	`integer \| null`

Field Name	Type	Description
`next_page`	`string \| null`
`count`	`integer`

Chats Get

Get a chat

CLI

airbyte-agent connectors execute --json '{
  "workspace": "<your_workspace_name>",
  "name": "zendesk-chat",
  "entity": "chats",
  "action": "get",
  "params": {
    "chat_id": "<str>"
  }
}'

Python SDK

await zendesk_chat.chats.get(
    chat_id="<str>"
)

API

curl --location 'https://api.airbyte.ai/api/v1/integrations/connectors/{your_connector_id}/execute' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer {your_auth_token}' \
--data '{
    "entity": "chats",
    "action": "get",
    "params": {
        "chat_id": "<str>"
    }
}'

Parameters

Parameter Name	Type	Required	Description
`chat_id`	`string`	Yes

Response Schema

Records

Field Name	Type	Description
`id`	`string`
`type`	`string \| null`
`timestamp`	`string \| null`
`update_timestamp`	`string \| null`
`duration`	`integer \| null`
`department_id`	`integer \| null`
`department_name`	`string \| null`
`agent_ids`	`array \| null`
`agent_names`	`array \| null`
`visitor`	`object \| any`
`session`	`object \| any`
`history`	`array \| null`
`history[].type`	`string \| null`
`history[].timestamp`	`string \| null`
`history[].name`	`string \| null`
`history[].nick`	`string \| null`
`history[].msg`	`string \| null`
`history[].msg_id`	`string \| null`
`history[].channel`	`string \| null`
`history[].department_id`	`integer \| null`
`history[].department_name`	`string \| null`
`history[].rating`	`string \| null`
`history[].new_rating`	`string \| null`
`history[].tags`	`array \| null`
`history[].new_tags`	`array \| null`
`history[].options`	`string \| null`
`engagements`	`array \| null`
`engagements[].id`	`string \| null`
`engagements[].agent_id`	`string \| null`
`engagements[].agent_name`	`string \| null`
`engagements[].agent_full_name`	`string \| null`
`engagements[].department_id`	`integer \| null`
`engagements[].timestamp`	`string \| null`
`engagements[].duration`	`number \| null`
`engagements[].accepted`	`boolean \| null`
`engagements[].assigned`	`boolean \| null`
`engagements[].started_by`	`string \| null`
`engagements[].rating`	`string \| null`
`engagements[].comment`	`string \| null`
`engagements[].count`	`object \| any`
`engagements[].response_time`	`object \| any`
`engagements[].skills_requested`	`array \| null`
`engagements[].skills_fulfilled`	`boolean \| null`
`conversions`	`array \| null`
`conversions[].id`	`string \| null`
`conversions[].goal_id`	`integer \| null`
`conversions[].goal_name`	`string \| null`
`conversions[].timestamp`	`string \| null`
`conversions[].attribution`	`object \| any`
`count`	`object \| any`
`response_time`	`object \| any`
`rating`	`string \| null`
`comment`	`string \| null`
`tags`	`array \| null`
`started_by`	`string \| null`
`triggered`	`boolean \| null`
`triggered_response`	`boolean \| null`
`missed`	`boolean \| null`
`unread`	`boolean \| null`
`deleted`	`boolean \| null`
`message`	`string \| null`
`webpath`	`array \| null`
`webpath[].from`	`string \| null`
`webpath[].timestamp`	`string \| null`
`zendesk_ticket_id`	`integer \| null`

Chats Context Store Search

Search and filter chats records powered by Airbyte's data sync. This often provides additional fields and operators beyond what the API natively supports, making it easier to narrow down results before performing further operations. Only available in hosted mode.

CLI

airbyte-agent connectors execute --json '{
  "workspace": "<your_workspace_name>",
  "name": "zendesk-chat",
  "entity": "chats",
  "action": "context_store_search",
  "params": {
    "query": {
      "filter": {
        "eq": {
          "id": "<str>"
        }
      }
    }
  }
}'

Python SDK

await zendesk_chat.chats.context_store_search(
    query={"filter": {"eq": {"id": "<str>"}}}
)

API

curl --location 'https://api.airbyte.ai/api/v1/integrations/connectors/{your_connector_id}/execute' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer {your_auth_token}' \
--data '{
    "entity": "chats",
    "action": "context_store_search",
    "params": {
        "query": {"filter": {"eq": {"id": "<str>"}}}
    }
}'

Parameters

Parameter Name	Type	Required	Description
`query`	`object`	Yes	Filter and sort conditions. Supports operators: eq, neq, gt, gte, lt, lte, in, startswith, endswith, contains, array_contains, fuzzy, keyword, not, and, or
`query.filter`	`object`	No	Filter conditions
`query.sort`	`array`	No	Sort conditions
`limit`	`integer`	No	Maximum results to return (default 1000)
`cursor`	`string`	No	Pagination cursor from previous response's `meta.cursor`
`fields`	`array`	No	Field paths to include in results

Searchable Fields

Field Name	Type	Description
`id`	`string`	Unique chat identifier
`timestamp`	`string`	Chat start timestamp
`update_timestamp`	`string`	Last update timestamp
`department_id`	`integer`	Department ID
`department_name`	`string`	Department name
`duration`	`integer`	Chat duration in seconds
`rating`	`string`	Satisfaction rating
`missed`	`boolean`	Whether chat was missed
`agent_ids`	`array`	IDs of agents in chat

Response Schema

Field Name	Type	Description
`data`	`array`	List of matching records
`meta`	`object`	Pagination metadata
`meta.has_more`	`boolean`	Whether additional pages are available
`meta.cursor`	`string \| null`	Cursor for next page of results
`meta.took_ms`	`number \| null`	Query execution time in milliseconds
`data[].id`	`string`	Unique chat identifier
`data[].timestamp`	`string`	Chat start timestamp
`data[].update_timestamp`	`string`	Last update timestamp
`data[].department_id`	`integer`	Department ID
`data[].department_name`	`string`	Department name
`data[].duration`	`integer`	Chat duration in seconds
`data[].rating`	`string`	Satisfaction rating
`data[].missed`	`boolean`	Whether chat was missed
`data[].agent_ids`	`array`	IDs of agents in chat

Chats Context Store SQL Query

Run a SQL query against chats records in the Airbyte Context Store. SQL projections may return any set of columns, so each result row is a dictionary matching the query's selected fields. Only available in hosted mode.

Use the hosted server documentation to find the qualified Context Store table name and SQL guidance.

CLI

airbyte-agent connectors execute --json '{
  "workspace": "<your_workspace_name>",
  "name": "zendesk-chat",
  "entity": "chats",
  "action": "context_store_sql_query",
  "params": {
    "sql": "SELECT * FROM <qualified_context_store_table> LIMIT 100"
  }
}'

Python SDK

await zendesk_chat.chats.context_store_sql_query(
    sql="SELECT * FROM <qualified_context_store_table> LIMIT 100"
)

API

curl --location 'https://api.airbyte.ai/api/v1/integrations/connectors/{your_connector_id}/execute' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer {your_auth_token}' \
--data '{
    "entity": "chats",
    "action": "context_store_sql_query",
    "params": {
        "sql": "SELECT * FROM <qualified_context_store_table> LIMIT 100"
    }
}'

Parameters

Parameter Name	Type	Required	Description
`sql`	`string`	Yes	SQL query to execute against this entity's Context Store data
`limit`	`integer`	No	Maximum results to return

Response Schema

Field Name	Type	Description
`data`	`array`	Projected rows, with dictionary keys matching the selected columns
`meta`	`object`	Query metadata
`meta.has_more`	`boolean`	Whether the result was limited and more rows are available
`meta.cursor`	`null`	SQL query results do not use cursor pagination
`meta.took_ms`	`number \| null`	Query execution time in milliseconds

Departments

Departments List

List all departments

CLI

airbyte-agent connectors execute --json '{
  "workspace": "<your_workspace_name>",
  "name": "zendesk-chat",
  "entity": "departments",
  "action": "list"
}'

Python SDK

await zendesk_chat.departments.list()

API

curl --location 'https://api.airbyte.ai/api/v1/integrations/connectors/{your_connector_id}/execute' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer {your_auth_token}' \
--data '{
    "entity": "departments",
    "action": "list"
}'

Response Schema

Records

Field Name	Type	Description
`id`	`integer`
`name`	`string \| null`
`description`	`string \| null`
`enabled`	`boolean \| null`
`members`	`array \| null`
`settings`	`object \| any`

Departments Get

Get a department

CLI

airbyte-agent connectors execute --json '{
  "workspace": "<your_workspace_name>",
  "name": "zendesk-chat",
  "entity": "departments",
  "action": "get",
  "params": {
    "department_id": 0
  }
}'

Python SDK

await zendesk_chat.departments.get(
    department_id=0
)

API

curl --location 'https://api.airbyte.ai/api/v1/integrations/connectors/{your_connector_id}/execute' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer {your_auth_token}' \
--data '{
    "entity": "departments",
    "action": "get",
    "params": {
        "department_id": 0
    }
}'

Parameters

Parameter Name	Type	Required	Description
`department_id`	`integer`	Yes

Response Schema

Records

Field Name	Type	Description
`id`	`integer`
`name`	`string \| null`
`description`	`string \| null`
`enabled`	`boolean \| null`
`members`	`array \| null`
`settings`	`object \| any`

Departments Context Store Search

Search and filter departments records powered by Airbyte's data sync. This often provides additional fields and operators beyond what the API natively supports, making it easier to narrow down results before performing further operations. Only available in hosted mode.

CLI

airbyte-agent connectors execute --json '{
  "workspace": "<your_workspace_name>",
  "name": "zendesk-chat",
  "entity": "departments",
  "action": "context_store_search",
  "params": {
    "query": {
      "filter": {
        "eq": {
          "id": 0
        }
      }
    }
  }
}'

Python SDK

await zendesk_chat.departments.context_store_search(
    query={"filter": {"eq": {"id": 0}}}
)

API

curl --location 'https://api.airbyte.ai/api/v1/integrations/connectors/{your_connector_id}/execute' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer {your_auth_token}' \
--data '{
    "entity": "departments",
    "action": "context_store_search",
    "params": {
        "query": {"filter": {"eq": {"id": 0}}}
    }
}'

Parameters

Parameter Name	Type	Required	Description
`query`	`object`	Yes	Filter and sort conditions. Supports operators: eq, neq, gt, gte, lt, lte, in, startswith, endswith, contains, array_contains, fuzzy, keyword, not, and, or
`query.filter`	`object`	No	Filter conditions
`query.sort`	`array`	No	Sort conditions
`limit`	`integer`	No	Maximum results to return (default 1000)
`cursor`	`string`	No	Pagination cursor from previous response's `meta.cursor`
`fields`	`array`	No	Field paths to include in results

Searchable Fields

Field Name	Type	Description
`id`	`integer`	Department ID
`name`	`string`	Department name
`enabled`	`boolean`	Whether department is enabled
`members`	`array`	Agent IDs in department

Response Schema

Field Name	Type	Description
`data`	`array`	List of matching records
`meta`	`object`	Pagination metadata
`meta.has_more`	`boolean`	Whether additional pages are available
`meta.cursor`	`string \| null`	Cursor for next page of results
`meta.took_ms`	`number \| null`	Query execution time in milliseconds
`data[].id`	`integer`	Department ID
`data[].name`	`string`	Department name
`data[].enabled`	`boolean`	Whether department is enabled
`data[].members`	`array`	Agent IDs in department

Departments Context Store SQL Query

Run a SQL query against departments records in the Airbyte Context Store. SQL projections may return any set of columns, so each result row is a dictionary matching the query's selected fields. Only available in hosted mode.

Use the hosted server documentation to find the qualified Context Store table name and SQL guidance.

CLI

airbyte-agent connectors execute --json '{
  "workspace": "<your_workspace_name>",
  "name": "zendesk-chat",
  "entity": "departments",
  "action": "context_store_sql_query",
  "params": {
    "sql": "SELECT * FROM <qualified_context_store_table> LIMIT 100"
  }
}'

Python SDK

await zendesk_chat.departments.context_store_sql_query(
    sql="SELECT * FROM <qualified_context_store_table> LIMIT 100"
)

API

curl --location 'https://api.airbyte.ai/api/v1/integrations/connectors/{your_connector_id}/execute' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer {your_auth_token}' \
--data '{
    "entity": "departments",
    "action": "context_store_sql_query",
    "params": {
        "sql": "SELECT * FROM <qualified_context_store_table> LIMIT 100"
    }
}'

Parameters

Parameter Name	Type	Required	Description
`sql`	`string`	Yes	SQL query to execute against this entity's Context Store data
`limit`	`integer`	No	Maximum results to return

Response Schema

Field Name	Type	Description
`data`	`array`	Projected rows, with dictionary keys matching the selected columns
`meta`	`object`	Query metadata
`meta.has_more`	`boolean`	Whether the result was limited and more rows are available
`meta.cursor`	`null`	SQL query results do not use cursor pagination
`meta.took_ms`	`number \| null`	Query execution time in milliseconds

Goals

Goals List

List all goals

CLI

airbyte-agent connectors execute --json '{
  "workspace": "<your_workspace_name>",
  "name": "zendesk-chat",
  "entity": "goals",
  "action": "list"
}'

Python SDK

await zendesk_chat.goals.list()

API

curl --location 'https://api.airbyte.ai/api/v1/integrations/connectors/{your_connector_id}/execute' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer {your_auth_token}' \
--data '{
    "entity": "goals",
    "action": "list"
}'

Response Schema

Records

Field Name	Type	Description
`id`	`integer`
`name`	`string \| null`
`description`	`string \| null`
`enabled`	`boolean \| null`
`attribution_model`	`string \| null`
`attribution_window`	`integer \| null`
`attribution_period`	`integer \| null`
`settings`	`object \| null`

Goals Get

Get a goal

CLI

airbyte-agent connectors execute --json '{
  "workspace": "<your_workspace_name>",
  "name": "zendesk-chat",
  "entity": "goals",
  "action": "get",
  "params": {
    "goal_id": 0
  }
}'

Python SDK

await zendesk_chat.goals.get(
    goal_id=0
)

API

curl --location 'https://api.airbyte.ai/api/v1/integrations/connectors/{your_connector_id}/execute' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer {your_auth_token}' \
--data '{
    "entity": "goals",
    "action": "get",
    "params": {
        "goal_id": 0
    }
}'

Parameters

Parameter Name	Type	Required	Description
`goal_id`	`integer`	Yes

Response Schema

Records

Field Name	Type	Description
`id`	`integer`
`name`	`string \| null`
`description`	`string \| null`
`enabled`	`boolean \| null`
`attribution_model`	`string \| null`
`attribution_window`	`integer \| null`
`attribution_period`	`integer \| null`
`settings`	`object \| null`

Roles

Roles List

List all roles

CLI

airbyte-agent connectors execute --json '{
  "workspace": "<your_workspace_name>",
  "name": "zendesk-chat",
  "entity": "roles",
  "action": "list"
}'

Python SDK

await zendesk_chat.roles.list()

API

curl --location 'https://api.airbyte.ai/api/v1/integrations/connectors/{your_connector_id}/execute' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer {your_auth_token}' \
--data '{
    "entity": "roles",
    "action": "list"
}'

Response Schema

Records

Field Name	Type	Description
`id`	`integer`
`name`	`string \| null`
`description`	`string \| null`
`enabled`	`boolean \| null`
`permissions`	`object \| null`
`members_count`	`integer \| null`

Roles Get

Get a role

CLI

airbyte-agent connectors execute --json '{
  "workspace": "<your_workspace_name>",
  "name": "zendesk-chat",
  "entity": "roles",
  "action": "get",
  "params": {
    "role_id": 0
  }
}'

Python SDK

await zendesk_chat.roles.get(
    role_id=0
)

API

curl --location 'https://api.airbyte.ai/api/v1/integrations/connectors/{your_connector_id}/execute' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer {your_auth_token}' \
--data '{
    "entity": "roles",
    "action": "get",
    "params": {
        "role_id": 0
    }
}'

Parameters

Parameter Name	Type	Required	Description
`role_id`	`integer`	Yes

Response Schema

Records

Field Name	Type	Description
`id`	`integer`
`name`	`string \| null`
`description`	`string \| null`
`enabled`	`boolean \| null`
`permissions`	`object \| null`
`members_count`	`integer \| null`

Routing Settings

Routing Settings Get

Get routing settings

CLI

airbyte-agent connectors execute --json '{
  "workspace": "<your_workspace_name>",
  "name": "zendesk-chat",
  "entity": "routing_settings",
  "action": "get"
}'

Python SDK

await zendesk_chat.routing_settings.get()

API

curl --location 'https://api.airbyte.ai/api/v1/integrations/connectors/{your_connector_id}/execute' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer {your_auth_token}' \
--data '{
    "entity": "routing_settings",
    "action": "get"
}'

Response Schema

Records

Field Name	Type	Description
`routing_mode`	`string \| null`
`chat_limit`	`object \| null`
`skill_routing`	`object \| null`
`reassignment`	`object \| null`
`auto_idle`	`object \| null`
`auto_accept`	`object \| null`

Shortcuts

Shortcuts List

List all shortcuts

CLI

airbyte-agent connectors execute --json '{
  "workspace": "<your_workspace_name>",
  "name": "zendesk-chat",
  "entity": "shortcuts",
  "action": "list"
}'

Python SDK

await zendesk_chat.shortcuts.list()

API

curl --location 'https://api.airbyte.ai/api/v1/integrations/connectors/{your_connector_id}/execute' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer {your_auth_token}' \
--data '{
    "entity": "shortcuts",
    "action": "list"
}'

Response Schema

Records

Field Name	Type	Description
`id`	`string`
`name`	`string \| null`
`message`	`string \| null`
`options`	`string \| null`
`tags`	`array \| null`
`departments`	`array \| null`
`agents`	`array \| null`
`scope`	`string \| null`

Shortcuts Get

Get a shortcut

CLI

airbyte-agent connectors execute --json '{
  "workspace": "<your_workspace_name>",
  "name": "zendesk-chat",
  "entity": "shortcuts",
  "action": "get",
  "params": {
    "shortcut_id": 0
  }
}'

Python SDK

await zendesk_chat.shortcuts.get(
    shortcut_id=0
)

API

curl --location 'https://api.airbyte.ai/api/v1/integrations/connectors/{your_connector_id}/execute' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer {your_auth_token}' \
--data '{
    "entity": "shortcuts",
    "action": "get",
    "params": {
        "shortcut_id": 0
    }
}'

Parameters

Parameter Name	Type	Required	Description
`shortcut_id`	`integer`	Yes

Response Schema

Records

Field Name	Type	Description
`id`	`string`
`name`	`string \| null`
`message`	`string \| null`
`options`	`string \| null`
`tags`	`array \| null`
`departments`	`array \| null`
`agents`	`array \| null`
`scope`	`string \| null`

Shortcuts Context Store Search

Search and filter shortcuts records powered by Airbyte's data sync. This often provides additional fields and operators beyond what the API natively supports, making it easier to narrow down results before performing further operations. Only available in hosted mode.

CLI

airbyte-agent connectors execute --json '{
  "workspace": "<your_workspace_name>",
  "name": "zendesk-chat",
  "entity": "shortcuts",
  "action": "context_store_search",
  "params": {
    "query": {
      "filter": {
        "eq": {
          "id": 0
        }
      }
    }
  }
}'

Python SDK

await zendesk_chat.shortcuts.context_store_search(
    query={"filter": {"eq": {"id": 0}}}
)

API

curl --location 'https://api.airbyte.ai/api/v1/integrations/connectors/{your_connector_id}/execute' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer {your_auth_token}' \
--data '{
    "entity": "shortcuts",
    "action": "context_store_search",
    "params": {
        "query": {"filter": {"eq": {"id": 0}}}
    }
}'

Parameters

Parameter Name	Type	Required	Description
`query`	`object`	Yes	Filter and sort conditions. Supports operators: eq, neq, gt, gte, lt, lte, in, startswith, endswith, contains, array_contains, fuzzy, keyword, not, and, or
`query.filter`	`object`	No	Filter conditions
`query.sort`	`array`	No	Sort conditions
`limit`	`integer`	No	Maximum results to return (default 1000)
`cursor`	`string`	No	Pagination cursor from previous response's `meta.cursor`
`fields`	`array`	No	Field paths to include in results

Searchable Fields

Field Name	Type	Description
`id`	`integer`	Shortcut ID
`name`	`string`	Shortcut name/trigger
`message`	`string`	Shortcut message content
`tags`	`array`	Tags applied when shortcut is used

Response Schema

Field Name	Type	Description
`data`	`array`	List of matching records
`meta`	`object`	Pagination metadata
`meta.has_more`	`boolean`	Whether additional pages are available
`meta.cursor`	`string \| null`	Cursor for next page of results
`meta.took_ms`	`number \| null`	Query execution time in milliseconds
`data[].id`	`integer`	Shortcut ID
`data[].name`	`string`	Shortcut name/trigger
`data[].message`	`string`	Shortcut message content
`data[].tags`	`array`	Tags applied when shortcut is used

Shortcuts Context Store SQL Query

Run a SQL query against shortcuts records in the Airbyte Context Store. SQL projections may return any set of columns, so each result row is a dictionary matching the query's selected fields. Only available in hosted mode.

Use the hosted server documentation to find the qualified Context Store table name and SQL guidance.

CLI

airbyte-agent connectors execute --json '{
  "workspace": "<your_workspace_name>",
  "name": "zendesk-chat",
  "entity": "shortcuts",
  "action": "context_store_sql_query",
  "params": {
    "sql": "SELECT * FROM <qualified_context_store_table> LIMIT 100"
  }
}'

Python SDK

await zendesk_chat.shortcuts.context_store_sql_query(
    sql="SELECT * FROM <qualified_context_store_table> LIMIT 100"
)

API

curl --location 'https://api.airbyte.ai/api/v1/integrations/connectors/{your_connector_id}/execute' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer {your_auth_token}' \
--data '{
    "entity": "shortcuts",
    "action": "context_store_sql_query",
    "params": {
        "sql": "SELECT * FROM <qualified_context_store_table> LIMIT 100"
    }
}'

Parameters

Parameter Name	Type	Required	Description
`sql`	`string`	Yes	SQL query to execute against this entity's Context Store data
`limit`	`integer`	No	Maximum results to return

Response Schema

Field Name	Type	Description
`data`	`array`	Projected rows, with dictionary keys matching the selected columns
`meta`	`object`	Query metadata
`meta.has_more`	`boolean`	Whether the result was limited and more rows are available
`meta.cursor`	`null`	SQL query results do not use cursor pagination
`meta.took_ms`	`number \| null`	Query execution time in milliseconds

Skills

Skills List

List all skills

CLI

airbyte-agent connectors execute --json '{
  "workspace": "<your_workspace_name>",
  "name": "zendesk-chat",
  "entity": "skills",
  "action": "list"
}'

Python SDK

await zendesk_chat.skills.list()

API

curl --location 'https://api.airbyte.ai/api/v1/integrations/connectors/{your_connector_id}/execute' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer {your_auth_token}' \
--data '{
    "entity": "skills",
    "action": "list"
}'

Response Schema

Records

Field Name	Type	Description
`id`	`integer`
`name`	`string \| null`
`description`	`string \| null`
`enabled`	`boolean \| null`
`members`	`array \| null`

Skills Get

Get a skill

CLI

airbyte-agent connectors execute --json '{
  "workspace": "<your_workspace_name>",
  "name": "zendesk-chat",
  "entity": "skills",
  "action": "get",
  "params": {
    "skill_id": 0
  }
}'

Python SDK

await zendesk_chat.skills.get(
    skill_id=0
)

API

curl --location 'https://api.airbyte.ai/api/v1/integrations/connectors/{your_connector_id}/execute' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer {your_auth_token}' \
--data '{
    "entity": "skills",
    "action": "get",
    "params": {
        "skill_id": 0
    }
}'

Parameters

Parameter Name	Type	Required	Description
`skill_id`	`integer`	Yes

Response Schema

Records

Field Name	Type	Description
`id`	`integer`
`name`	`string \| null`
`description`	`string \| null`
`enabled`	`boolean \| null`
`members`	`array \| null`

Triggers

Triggers List

List all triggers

CLI

airbyte-agent connectors execute --json '{
  "workspace": "<your_workspace_name>",
  "name": "zendesk-chat",
  "entity": "triggers",
  "action": "list"
}'

Python SDK

await zendesk_chat.triggers.list()

API

curl --location 'https://api.airbyte.ai/api/v1/integrations/connectors/{your_connector_id}/execute' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer {your_auth_token}' \
--data '{
    "entity": "triggers",
    "action": "list"
}'

Response Schema

Records

Field Name	Type	Description
`id`	`integer`
`name`	`string \| null`
`description`	`string \| null`
`enabled`	`boolean \| null`
`run_once`	`boolean \| null`
`conditions`	`array \| null`
`actions`	`array \| null`
`departments`	`array \| null`
`definition`	`object \| null`

Triggers Context Store Search

Search and filter triggers records powered by Airbyte's data sync. This often provides additional fields and operators beyond what the API natively supports, making it easier to narrow down results before performing further operations. Only available in hosted mode.

CLI

airbyte-agent connectors execute --json '{
  "workspace": "<your_workspace_name>",
  "name": "zendesk-chat",
  "entity": "triggers",
  "action": "context_store_search",
  "params": {
    "query": {
      "filter": {
        "eq": {
          "id": 0
        }
      }
    }
  }
}'

Python SDK

await zendesk_chat.triggers.context_store_search(
    query={"filter": {"eq": {"id": 0}}}
)

API

curl --location 'https://api.airbyte.ai/api/v1/integrations/connectors/{your_connector_id}/execute' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer {your_auth_token}' \
--data '{
    "entity": "triggers",
    "action": "context_store_search",
    "params": {
        "query": {"filter": {"eq": {"id": 0}}}
    }
}'

Parameters

Parameter Name	Type	Required	Description
`query`	`object`	Yes	Filter and sort conditions. Supports operators: eq, neq, gt, gte, lt, lte, in, startswith, endswith, contains, array_contains, fuzzy, keyword, not, and, or
`query.filter`	`object`	No	Filter conditions
`query.sort`	`array`	No	Sort conditions
`limit`	`integer`	No	Maximum results to return (default 1000)
`cursor`	`string`	No	Pagination cursor from previous response's `meta.cursor`
`fields`	`array`	No	Field paths to include in results

Searchable Fields

Field Name	Type	Description
`id`	`integer`	Trigger ID
`name`	`string`	Trigger name
`enabled`	`boolean`	Whether trigger is enabled

Response Schema

Field Name	Type	Description
`data`	`array`	List of matching records
`meta`	`object`	Pagination metadata
`meta.has_more`	`boolean`	Whether additional pages are available
`meta.cursor`	`string \| null`	Cursor for next page of results
`meta.took_ms`	`number \| null`	Query execution time in milliseconds
`data[].id`	`integer`	Trigger ID
`data[].name`	`string`	Trigger name
`data[].enabled`	`boolean`	Whether trigger is enabled

Triggers Context Store SQL Query

Run a SQL query against triggers records in the Airbyte Context Store. SQL projections may return any set of columns, so each result row is a dictionary matching the query's selected fields. Only available in hosted mode.

Use the hosted server documentation to find the qualified Context Store table name and SQL guidance.

CLI

airbyte-agent connectors execute --json '{
  "workspace": "<your_workspace_name>",
  "name": "zendesk-chat",
  "entity": "triggers",
  "action": "context_store_sql_query",
  "params": {
    "sql": "SELECT * FROM <qualified_context_store_table> LIMIT 100"
  }
}'

Python SDK

await zendesk_chat.triggers.context_store_sql_query(
    sql="SELECT * FROM <qualified_context_store_table> LIMIT 100"
)

API

curl --location 'https://api.airbyte.ai/api/v1/integrations/connectors/{your_connector_id}/execute' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer {your_auth_token}' \
--data '{
    "entity": "triggers",
    "action": "context_store_sql_query",
    "params": {
        "sql": "SELECT * FROM <qualified_context_store_table> LIMIT 100"
    }
}'

Parameters

Parameter Name	Type	Required	Description
`sql`	`string`	Yes	SQL query to execute against this entity's Context Store data
`limit`	`integer`	No	Maximum results to return

Response Schema

Field Name	Type	Description
`data`	`array`	Projected rows, with dictionary keys matching the selected columns
`meta`	`object`	Query metadata
`meta.has_more`	`boolean`	Whether the result was limited and more rows are available
`meta.cursor`	`null`	SQL query results do not use cursor pagination
`meta.took_ms`	`number \| null`	Query execution time in milliseconds

Supported entities and actions​

Accounts​

Accounts Get​

CLI​

Python SDK​

API​

Records​

Agents​

Agents List​

CLI​

Python SDK​

API​

Parameters​

Records​

Agents Get​

CLI​

Python SDK​

API​

Parameters​

Records​

Agents Context Store Search​

CLI​

Python SDK​

API​

Parameters​

Searchable Fields​

Agents Context Store SQL Query​

CLI​

Python SDK​

API​

Parameters​

Agent Timeline​

Agent Timeline List​

CLI​

Python SDK​

API​

Parameters​

Records​

Meta​

Bans​

Bans List​

CLI​

Python SDK​

API​

Parameters​

Bans Get​

CLI​

Python SDK​

API​

Parameters​

Records​

Chats​

Chats List​

CLI​

Python SDK​

API​

Parameters​

Records​

Meta​

Chats Get​

CLI​

Python SDK​

API​

Parameters​

Records​

Chats Context Store Search​

CLI​

Python SDK​

API​

Parameters​

Searchable Fields​

Chats Context Store SQL Query​

CLI​

Python SDK​

API​

Parameters​

Departments​

Departments List​

CLI​

Python SDK​

Supported entities and actions

Accounts

Accounts Get

CLI

Python SDK

API

Records

Agents

Agents List

CLI

Python SDK

API

Parameters

Records

Agents Get

CLI

Python SDK

API

Parameters

Records

Agents Context Store Search

CLI

Python SDK

API

Parameters

Searchable Fields

Agents Context Store SQL Query

CLI

Python SDK

API

Parameters

Agent Timeline

Agent Timeline List

CLI

Python SDK

API

Parameters

Records

Meta

Bans

Bans List

CLI

Python SDK

API

Parameters

Bans Get

CLI

Python SDK

API

Parameters

Records

Chats

Chats List

CLI

Python SDK

API

Parameters

Records

Meta

Chats Get

CLI

Python SDK

API

Parameters

Records

Chats Context Store Search

CLI

Python SDK

API

Parameters

Searchable Fields

Chats Context Store SQL Query

CLI

Python SDK

API

Parameters

Departments

Departments List

CLI

Python SDK