--- title: "Jiminny Integration for Rig: Query Jiminny Data in Plain English" description: "Connect Jiminny to Rig and query your Jiminny data in plain English, or ask it in Claude, ChatGPT and Cursor. Governed, validated answers from your warehouse." canonical: "https://rig.so/integrations/jiminny" format: markdown --- Browse integrations ![Jiminny logo](https://img.logo.dev/jiminny.com?token=pk_AdkTbLWDS1iunmvTK2qm1g&size=112&format=png&retina=true) Files & productivity Supported # Jiminny integration for Rig ## The easiest way to connect Jiminny to Claude and other AI tools Jiminny is a conversation intelligence platform that records and analyses sales calls, capturing talk ratios, topics, coaching scores and linked deals. [Try Rig](https://app.rig.so/signup)[Book a demo](https://rig.so/book-demo) ## What Rig syncs from Jiminny Once connected, Rig models these objects so questions resolve to the right tables and joins: - Call recordings - Transcripts - Conversation metrics - Talk ratios - Topics - Deals linked - Coaching scores ## How Jiminny connects to Rig Rig Ingest syncs your Jiminny calls, transcripts, conversation metrics and linked deals into your warehouse on a schedule. Rig models talk ratios, topics and coaching scores so conversation analysis can be joined to deal outcomes. [Read the step-by-step Jiminny setup guide](https://rig.so/guides/connect-jiminny) ## Run conversation intelligence on sales calls Jiminny scores individual calls, but the insight comes from looking across all of them. Rig loads conversation metrics and transcripts into your warehouse, so you can analyse talk patterns, topics and outcomes across the whole team at once. Ask Rig - What is the average talk ratio across calls this quarter? - Which topics dominate our discovery calls? - Show conversation metrics by rep over the last month ## Coach on talk-ratio and call quality Rig reads Jiminny talk ratios and coaching scores, so managers can see who talks too much, who runs balanced calls and how scores trend. That turns coaching into something measured rather than anecdotal. Ask Rig - Which reps have a talk ratio above the team target? - How have coaching scores trended by rep this quarter? - Show reps whose call quality scores are improving ## Track competitor and objection mentions Rig searches across Jiminny transcripts and topics, so you can count how often competitors come up and which objections recur. Sales and product teams use it to spot patterns in what prospects push back on. Ask Rig - How often was each competitor mentioned this quarter? - Which objections come up most in late-stage calls? - Find calls where a specific competitor was raised ## Link calls to deal outcomes Because Jiminny links calls to deals, Rig can join conversation metrics to pipeline in your warehouse. You can see whether talk ratio, topic coverage or call frequency correlate with deals that close. Ask Rig - Do deals with more discovery time close at a higher rate? - Compare talk ratios on won versus lost deals - Which call patterns appear most in closed-won deals? ## Ask your Jiminny data in Claude, ChatGPT or Cursor Rig serves your Jiminny data to AI assistants over MCP. Once Jiminny is synced into your warehouse, you can ask questions in plain English from the tool you already use, and every answer is backed by validated, governed SQL. - [Claude](https://rig.so/integrations/claude) - [Claude Code](https://rig.so/integrations/claude-code) - [Cursor](https://rig.so/integrations/cursor) - [ChatGPT](https://rig.so/integrations/chatgpt) - [Codex](https://rig.so/integrations/codex) - [Gemini](https://rig.so/integrations/gemini) ## Frequently asked questions What Jiminny data does Rig sync? Call recording metadata, transcripts, conversation metrics, talk ratios, topics, linked deals and coaching scores, synced into your warehouse on a schedule. Can Rig link Jiminny calls to deal outcomes? Yes. Rig joins conversation metrics and linked deals to pipeline in your warehouse, so you can see how talk ratio and topics relate to won and lost deals. Can I query Jiminny data in Claude or ChatGPT? Yes. Once Jiminny is synced to your warehouse, Rig serves it to Claude, ChatGPT, Cursor and other AI tools over MCP. How often does Jiminny data refresh? Rig Ingest syncs on a schedule you set and picks up new calls, metrics and coaching scores automatically. ## Related integrations [![Airspeed logo](https://img.logo.dev/airspeed.com?token=pk_AdkTbLWDS1iunmvTK2qm1g&size=72&format=png&retina=true)AirspeedSales calls with transcripts, summaries and MEDDIC and BANT deal signals.](https://rig.so/integrations/airspeed)[![Airtable logo](https://img.logo.dev/airtable.com?token=pk_AdkTbLWDS1iunmvTK2qm1g&size=72&format=png&retina=true)AirtableBring the operational tables your team maintains into the warehouse.](https://rig.so/integrations/airtable)[![Box logo](https://img.logo.dev/box.com?token=pk_AdkTbLWDS1iunmvTK2qm1g&size=72&format=png&retina=true)BoxIngest a Box folder tree: spreadsheets become tables, PDFs become text.](https://rig.so/integrations/box)[![Calendly logo](https://img.logo.dev/calendly.com?token=pk_AdkTbLWDS1iunmvTK2qm1g&size=72&format=png&retina=true)CalendlyMeeting booking, no-show and conversion analytics from Calendly.](https://rig.so/integrations/calendly)[![Dropbox logo](https://img.logo.dev/dropbox.com?token=pk_AdkTbLWDS1iunmvTK2qm1g&size=72&format=png&retina=true)DropboxIngest data files and partner drops from Dropbox into your warehouse.](https://rig.so/integrations/dropbox)[![Fathom logo](https://img.logo.dev/fathom.video?token=pk_AdkTbLWDS1iunmvTK2qm1g&size=72&format=png&retina=true)FathomMeeting recordings, transcripts, AI summaries and action items.](https://rig.so/integrations/fathom) ## Connect Jiminny data to AI tools like Claude Rig builds a governed context layer over your data so every team, and every AI tool, asks questions and gets answers they can trust. [Try Rig](https://app.rig.so/signup)[Book a demo](https://rig.so/book-demo) --- - [This page as HTML](https://rig.so/integrations/jiminny) - [Site map for language models](https://rig.so/llms.txt) - [API and agent documentation](https://rig.so/developers)