
An AI data analyst agent that works inside analytics tools to answer questions, modify dashboards, and automate analysis.
MinusX is an agentic data platform focused on helping teams analyze data directly inside the tools they already use, especially Metabase and Jupyter-based workflows. Its official site describes a Data Analyst Agent that can answer questions using governed data models and team-specific context, modify dashboards, change SQL queries, and perform ad hoc analysis without requiring users to switch to a separate analytics product. MinusX also documents multiple specialized data agents and positions itself as an end-to-end AI data scientist that can operate applications by clicking and typing like a human user. The platform is aimed at teams that want faster self-serve analytics, lower data-team bottlenecks, and more practical AI-driven analysis within existing business intelligence environments.
AI Agent Store research
MinusX is an agentic business-intelligence platform that pairs data-analysis agents with dashboards, reports, slides, alerts, and shared business context. It is available as source-available self-hosted software and as a managed cloud service.
Last reviewed August 15, 2026
MinusX handles SQL analysis, dashboards, metrics, documentation, reports, slides, data stories, and evaluations inside a shared BI environment.[1]
The platform maintains shared company context from interactions and lets teams test expected analytics behavior with evaluations.[1]
Agents can run scheduled reports, threshold alerts, and proactive metric nudges rather than waiting for an ad-hoc question.[1]
The self-hosted Open Source edition is free. Managed Founders is $40 per user per month, Team is $600 per month for 20 users, and Enterprise is custom. The checked page offers a seven-day trial without a credit card and a 50% discount for bringing your own LLM keys.[2]
Platforms: MinusX Cloud, Self-hosted web application, Slack, MCP server[1], [2]
Deployment: Self-hosted private runtime, Managed cloud runtime, Dedicated or on-premises Enterprise deployment[1], [2]
We record only claims tied to public sources checked by our team or listing workflow. Counts above are derived directly from this profile, not a subjective rating.
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