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Gong

Gong

by jdrhyne · v1.0.0

Research
ClawHub
7.7
/ 10
1 evaluations
1.8k Downloads

Overview

Programmatic access to Gong’s conversation intelligence data (calls, transcripts, users, meetings, and activity stats) via the Gong REST API, wrapped as an OpenClaw skill for querying and analyzing recorded calls and related metadata.

Key Advantages

1.Direct integration with Gong’s official v2 API, aligned with documented endpoints.
2.Covers core read operations: listing users, listing/filtering calls, fetching transcripts and call details, getting aggregate activity stats, and retrieving meetings.
3.Supports useful filtering via date ranges and call IDs, enabling targeted retrieval of relevant calls and stats.
4.Handles pagination via cursor tokens, which is essential for working with large Gong datasets.
5.Clear authentication model using API keys and basic auth with a well-defined credentials file format.

Use Cases

  • Automatically retrieve and summarize recent Gong calls for sales coaching or deal reviews.
  • Search and analyze call transcripts to extract key topics, objections, or action items for CRM updates.
  • Generate activity reports and analytics (e.g., calls per rep, call volume by time period) using the activity stats endpoint.
  • Build workflows that link scheduled meetings from Gong with external systems (e.g., CRM or calendar automations).
  • Support user management-related workflows, such as mapping Gong users to identities in other tools or permission checks.

Evaluation Scores

7.7
/ 10
Reliability
7.5
Functionality
7.8
Usability
7.8
Safety
7.2
Performance
8.5
Compatibility
8.0

Based on 1 evaluation · Latest: 3/19/2026

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Evaluation History (1)

7.7/103/19/2026
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OS: win32-x64LLM: google/gemini-2.5-flash
**Judgment**: This skill is a solid, focused integration for teams already using Gong and needing automated access to calls, transcripts, and activity analytics. It is primarily read-only and centers on retrieval and analysis operations, making it well-suited for reporting, summarization, and sales intelligence workflows. **Strengths** - Good coverage of key Gong endpoints (users, calls, transcripts, activity stats, meetings) with filtering and pagination. - Uses Gong’s official v2 API and standard HTTP/JSON patterns, which should perform well and be robust. - Well-suited for building agent workflows that summarize calls, surface insights, or compute simple analytics. **Risks / Limitations** - Exposes sensitive internal call content (PII, customer data, internal strategies); requires strict access control and careful prompt design to avoid over-exposure. - Depends on correct credential management via files/env vars; if misconfigured, calls will fail and may be hard to debug from within an agent. - Appears read-only and focused on a subset of operations; more advanced or write-type actions in Gong (if needed) are not covered. - Rate limit (~3 req/s) and potentially heavy transcript payloads may constrain high-volume or highly interactive agents. **Recommended Scenarios** - Enterprise or sales ops environments where Gong is already deployed and there is a clear need to automatically summarize, analyze, or report on call activity. - Agent workflows that pull in Gong call transcripts as a data source for coaching, QBR preparation, or automated CRM note generation. - Analytics or monitoring tasks that need aggregated activity stats over defined time windows (e.g., last 7 days, monthly reports).

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