Gong agent connector

Gong is a revenue intelligence platform that captures and analyzes customer interactions across calls, emails, and web conferences. This connector provides access to users, recorded calls with transcripts, activity statistics, scorecards, trackers, workspaces, coaching metrics, and library content for sales performance analysis and revenue insights.

Example questions

The Gong connector is optimized to handle prompts like these.

• List all users in my Gong account
• Show me calls from last week
• Get the transcript for call abc123
• What are the activity stats for our sales team?
• List all workspaces in Gong
• Show me the scorecard configurations
• What trackers are set up in my account?
• Get coaching metrics for manager user123

Unsupported questions

The Gong connector isn't currently able to handle prompts like these.

• Create a new user in Gong
• Delete a call recording
• Update scorecard questions
• Schedule a new meeting
• Send feedback to a team member
• Modify tracker keywords

Installation

uv pip install airbyte-agent-gong

Usage

Connectors can run in open source or hosted mode.

Open source

In open source mode, you provide API credentials directly to the connector.

from airbyte_agent_gong import GongConnector
from airbyte_agent_gong.models import GongAccessKeyAuthenticationAuthConfig

connector = GongConnector(
    auth_config=GongAccessKeyAuthenticationAuthConfig(
        access_key="<Your Gong API Access Key>",
        access_key_secret="<Your Gong API Access Key Secret>"
    )
)

@agent.tool_plain # assumes you're using Pydantic AI
@GongConnector.tool_utils
async def gong_execute(entity: str, action: str, params: dict | None = None):
    return await connector.execute(entity, action, params or {})

Hosted

In hosted mode, API credentials are stored securely in Airbyte Cloud. You provide your Airbyte credentials instead.

This example assumes you've already authenticated your connector with Airbyte. See Authentication to learn more about authenticating. If you need a step-by-step guide, see the hosted execution tutorial.

from airbyte_agent_gong import GongConnector

connector = GongConnector(
    external_user_id="<your-scoped-token>",
    airbyte_client_id="<your-client-id>",
    airbyte_client_secret="<your-client-secret>"
)

@agent.tool_plain # assumes you're using Pydantic AI
@GongConnector.tool_utils
async def gong_execute(entity: str, action: str, params: dict | None = None):
    return await connector.execute(entity, action, params or {})

Full documentation

This connector supports the following entities and actions.

Entity	Actions
Users	List, Get
Calls	List, Get
Calls Extensive	List
Call Audio	Download
Call Video	Download
Workspaces	List
Call Transcripts	List
Stats Activity Aggregate	List
Stats Activity Day By Day	List
Stats Interaction	List
Settings Scorecards	List
Settings Trackers	List
Library Folders	List
Library Folder Content	List
Coaching	List
Stats Activity Scorecards	List

For all authentication options, see the connector's authentication documentation.

For detailed documentation on available actions and parameters, see this connector's full reference documentation.

For the service's official API docs, see the Gong API reference.

Version information

• Package version: 0.19.65
• Connector version: 0.1.12
• Generated with Connector SDK commit SHA: 609c1d86c76b36ff699b57123a5a8c2050d958c3