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.
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
Version Information
Package version
0.19.78
Connector version
0.1.13
SDK commit
5b20f488dec0e8f29410823753106603c23a4b65
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Installation & Usage
1
Install Package
Using uv or pip
bash
uv pip install airbyte-agent-gong
2
Import
Initialize and use
python
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
@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
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| Entity | Actions |\n|--------|---------|\n| Users | [List](./REFERENCE.md#users-list), [Get](./REFERENCE.md#users-get) |\n| Calls | [List](./REFERENCE.md#calls-list), [Get](./REFERENCE.md#calls-get) |\n| Calls Extensive | [List](./REFERENCE.md#calls-extensive-list) |\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) |\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) |
Example Prompts
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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
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
🦜
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.
The Gong connector supports Access Key Authentication, which requires an API Access Key and Access Key Secret from your Gong account.
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 focuses on read operations only. Write operations like creating users, deleting call recordings, updating scorecards, or modifying trackers 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.
