Gong Connector for AI Agents

Give agents tools for secure, real-time access to fetch, search, write, and sync across every system, with replication, entity mapping, and auth built-in.

20,000+
community members
6,000+
daily active companies
2PB+
synced/month
900+
contributors

About this 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.

CRM

Sales Analytics

Customer Data

revenue intelligence, sales analytics, call recording

Version Information

Package version

0.19.112

Connector version

0.1.18

SDK commit

cb4380e76ac5cbc67b9089f94522be1bbe9f8d73

Support Open Source

Check us out on Github and join the Airbyte community

Github

Installation & Usage

Get started with the Gong connector in minutes

1

Install Package

Using uv or pip

bash

Copy
uv pip install airbyte-agent-gong

2

Import

Initialize and use

python

Copy
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>"
    )
)

3

Tool

Add tools to your agent

python

Copy
@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 {})

Supported Entities & Actions

Access all your Gong data through a unified API

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| Entity | Actions |\n|--------|---------|\n| Users | [List](./REFERENCE.md#users-list), [Get](./REFERENCE.md#users-get), [Search](./REFERENCE.md#users-search) |\n| Calls | [List](./REFERENCE.md#calls-list), [Get](./REFERENCE.md#calls-get), [Search](./REFERENCE.md#calls-search) |\n| Calls Extensive | [List](./REFERENCE.md#calls-extensive-list), [Search](./REFERENCE.md#calls-extensive-search) |\n| Call Audio | [Download](./REFERENCE.md#call-audio-download) |\n| Call Video | [Download](./REFERENCE.md#call-video-download) |\n| Workspaces | [List](./REFERENCE.md#workspaces-list) |\n| Call Transcripts | [List](./REFERENCE.md#call-transcripts-list) |\n| Stats Activity Aggregate | [List](./REFERENCE.md#stats-activity-aggregate-list) |\n| Stats Activity Day By Day | [List](./REFERENCE.md#stats-activity-day-by-day-list) |\n| Stats Interaction | [List](./REFERENCE.md#stats-interaction-list) |\n| Settings Scorecards | [List](./REFERENCE.md#settings-scorecards-list), [Search](./REFERENCE.md#settings-scorecards-search) |\n| Settings Trackers | [List](./REFERENCE.md#settings-trackers-list) |\n| Library Folders | [List](./REFERENCE.md#library-folders-list) |\n| Library Folder Content | [List](./REFERENCE.md#library-folder-content-list) |\n| Coaching | [List](./REFERENCE.md#coaching-list) |\n| Stats Activity Scorecards | [List](./REFERENCE.md#stats-activity-scorecards-list), [Search](./REFERENCE.md#stats-activity-scorecards-search) |

Example Prompts

The Gong connector is optimized to handle prompts like these

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List all users in my Gong account - Show me calls from last week - Get the transcript for a recent call - List all workspaces in Gong - Show me the scorecard configurations - What trackers are set up in my account? - Get coaching metrics for a manager - What are the activity stats for our sales team? - Find calls mentioning \{keyword\} this month - Show me calls for rep \{user_id\} in the last 30 days - Which calls had the longest duration last week?

Why Airbyte for AI Agents?

Built for production AI workloads with enterprise-grade reliability

Agent-Native Design

Structured, LLM-friendly schemas optimized for AI agent consumption with natural language query support.

Secure Authentication

Built-in OAuth 2.0 handling with automatic token refresh. No hard-coded credentials.

Production Ready

Battle-tested connectors with comprehensive error handling, logging, and retry logic.

Open Source

Fully open source under the MIT license. Contribute, customize, and extend freely.

Works with your favorite frameworks

Use the Gong connector with any AI agent framework

🦜

LangChain

🦙

LlamaIndex

🤖

CrewAI

AutoGen

🧠

OpenAI Agents SDK

🔮

Claude Agents SDK

Frequently Asked Questions

Didn't find your answer? Please don't hesitate to reach out.

How do I authenticate with Gong?

The Gong connector supports Access Key authentication. You provide a Gong API Access Key and Access Key Secret directly via the GongAccessKeyAuthenticationAuthConfig model. In hosted mode, credentials are stored securely in Airbyte Cloud and you authenticate using your Airbyte client ID and secret instead.

Can I use this connector with any AI agent framework?

The connector is compatible with any Python-based AI agent framework including LangChain, LlamaIndex, CrewAI, Pydantic AI, and custom implementations.

Does this connector support write operations?

No, the Gong connector currently supports read operations only. Write operations such as creating users, deleting call recordings, updating scorecard questions, scheduling meetings, sending feedback, or modifying tracker keywords are not supported.

How is this different from the Airbyte data connector?

Agent connectors are specifically designed for AI agents and LLM applications. They provide natural language interfaces, optimized response formats, and seamless integration with agent frameworks, unlike traditional ETL-focused connectors.

Will there be a platform for agent connectors?

The hosted version with secure credential storage through Airbyte Cloud is already available. See the hosted usage section in the documentation for setup instructions.

20,000+
community members
6,000+
daily active companies
2PB+
synced/month
900+
contributors