docket Codex Plugin
Codex PluginCodexProductivitySales, Marketing & Business OpsThe explanation below is AI-generated. Please verify it against the sources.
Docket is a Productivity-category plugin that connects Claude to Docket AI, a sales enablement platform, so sales reps can ask questions and get answers drawn from company sales data. According to the plugin manifest, it lets users query things such as product details, competitive information, technical specifications, and customer history through a unified knowledge base called the Sales Knowledge Lake. The homepage material describes Docket AI more broadly as an AI agent platform used by marketing and sales teams to engage website visitors, qualify leads, and sync conversation data into CRM systems like Salesforce or HubSpot. The plugin itself is scoped to the sales-knowledge lookup use case, with an example prompt showing a rep checking on a partnership detail. Pricing and deployment details for the broader Docket AI platform are described on the homepage, though the plugin's own operation depends on that external service being connected.
About the service
Docket AI is a sales and marketing SaaS platform that ingests data from many business sources (CRM systems, call recordings, chat tools, document repositories) into a unified knowledge base and uses it to power an AI agent for website visitor engagement, lead qualification, and CRM syncing. The plugin acts as an interface into this Docket AI service, pulling verified sales knowledge into Claude conversations rather than operating as a standalone local tool.
What you can do with docket
- Ask sales-related questions and receive answers sourced from company data
- Look up product, competitive, technical, or customer information
- Query historical account or partnership details, as shown in the example prompt
- Rely on answers drawn from data connected through Docket AI's knowledge base (e.g., CRM records, call recordings, chat history, documents), provided those sources are configured on the Docket AI platform