What are agent credits?

Credits represent AI tokens consumed for queries, dashboard edits, and other agent actions. Usage depends on model and task complexity; roughly one credit equals one user turn.

What does Bring Your Own Keys (BYOK) mean?

You supply your own LLM API keys (OpenAI, Anthropic, etc.) and pay the provider directly. MinusX handles orchestration, hosting, and tooling; you control model costs.

Do you offer a free trial?

Yes. All plans include a 7-day free trial with no credit card required to start.

Which LLMs do you use?

MinusX uses state-of-the-art models from OpenAI, Anthropic, Google, and others chosen by internal accuracy and speed benchmarks. On BYOK, you pick the models.

How does MinusX learn my business context?

It maintains a shared knowledge base of metric definitions, docs, and corrections, auto-learns from interactions, and lets you test answers with Evals to catch drift.

Can I self-host and still use my own LLM keys?

Yes. The Apache 2.0 core can run in your environment with your own LLM keys, keeping warehouse data inside your network. You manage infra, upgrades, and model orchestration.

Directory/Analytics/Business Intelligence/MinusX

MinusX

MinusX is an open-source agentic business intelligence platform built from the ground up for AI agents rather than bolted onto a legacy BI tool. It connects to Postgres, BigQuery, Athena, DuckDB, Google Sheets and CSV uploads, then handles the full analyst workflow: ad-hoc questions, SQL analysis, dashboards, metrics, alerts, slides and data stories. Its differentiator is a self-improving knowledge base plus Evals. The agent auto-learns company-specific definitions (what ARR means, which test orders to exclude, fiscal year rules) from every interaction, and you can test answers before trusting them. MinusX claims #1 SOTA on UC Berkeley's DataAgentBench. Also ships Slack Q&A, an MCP server for Claude/ChatGPT-style agents, proactive alerts and scheduled reports. Self-host the Apache 2.0 core with your own LLM keys, or use the managed cloud. Aimed at founders, data teams and non-technical operators who need answers without writing SQL.

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Added on

Nov 4, 2026

Agentic BIOpen sourceApache 2.0Self-hostBYOKSlack botMCP serverData storiesProactive alertsEvals

Product information

Everything worth knowing about MinusX

The complete picture — from everyday features to the technical detail builders and IT folks dig for.

Core features

What it actually does

Agentic BI, not a chatbot

Ask ad-hoc questions in plain English and get real analysis back — SQL, charts, dashboards, metrics, alerts and docs. The agent covers the ~75% of analyst work that isn't writing SQL.

Slides & Data Stories

Turn any analysis into a boardroom-ready deck or a scrollable scrollytelling report — charts, annotations and takeaways drafted end-to-end by the agent.

Proactive alerts, reports & nudges

Scheduled KPI reports, threshold alerts and proactive nudges. MinusX watches your data and pings you in Slack when churn spikes or spend blows past forecast.

Knowledge Base & Evals

The agent auto-learns your business context — what ARR means, which test orders to exclude, your fiscal year — and you can test it with Evals so you know the answers are trustworthy.

Slack, MCPs & Skills

Ask questions from Slack, or expose the MCP server so Claude, ChatGPT and your other AI agents can query your warehouse through MinusX.

Technical capabilities

Self-host or cloud, BYO LLM keys

Apache 2.0 core you can inspect and run in your own environment, or a managed cloud runtime. Bring your own OpenAI/Anthropic/Google keys for 50% off any plan — you control model costs.

SQL GUI, viz builder & query caching

Full SQL editor, point-and-click query builder, advanced filters, maps/funnels/heatmaps, plus advanced query caching for team-scale performance.

Must watch videos

MinusX Product Demo 1: Google Sheets to dashboard in ~5 mins

5:07

Tutorial5:07

MinusX Product Demo 1: Google Sheets to dashboard in ~5 mins

0:00 Connecting a Google Sheet 1:05 Auto Context 2:50 Auto Dashboard 3:49 Dashboard edit with agent

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Tutorial0:31

See MinusX in Action

MinusX is the best AI analyst for Metabase. Get answers to your business questions, ask questions to your Dashboards, and so much more.

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Tutorial0:56

Artifactbin

Who uses it

Real use cases, no hype

Ad-hoc Data Q&A

Ask natural-language questions and get SQL, charts, and answers in app or Slack.

Auto Dashboards

Build and refine dashboards from warehouses, Sheets, or CSVs with a SQL GUI.

Proactive Alerts & Reports

Schedule KPI reports and trigger threshold alerts when metrics break.

Slides & Data Stories

Turn analyses into board-ready decks and scrollable narrative reports.

Business Context Learning

Teach metric definitions, docs, and exceptions via a shared knowledge base.

MCP Agent Integration

Expose MinusX analytics to Claude, ChatGPT, and other AI agents via MCP.

Cross-functional BI

Run growth, finance, product, ops, marketing, and B2B dashboards in one place.

What's great

Open-source core, self-hostable
Learns company-specific context over time
#1 on DataAgentBench (vendor claim)
Slack and MCP integrations built in

Technical strengths

Evals framework tests agent answers
Knowledge base stores metrics, docs, and corrections
Full SQL GUI plus query builder

Where it falls short

Young product; connector list is still short
Cloud agent credits are hard to budget
Self-hosting means you own infra and upgrades
SSO/SAML only on Enterprise

Technical limitations

Answer quality depends on curated metrics/docs
Token-based credit model adds cost opacity
Evals/debugging tools are Team-tier, not OSS

For technical folks

The deep-dive specs

License

Apache 2.0

Deployment

Self-hosted (private runtime) or managed MinusX Cloud; dedicated/on-prem for Enterprise

Benchmark

#1 on DataAgentBench (UC Berkeley EPIC lab, as of Jun 2026)

Compliance

SOC2 Type II, GDPR

LLM providers

OpenAI, Anthropic, Google and others; BYOK supported

Data sources

Postgres, BigQuery, Athena, DuckDB, Google Sheets, CSV uploads, Supabase

FAQ

Includes technical Q&A

MinusX is open source (Apache 2.0), so you can self-host and audit the code. The company says it never stores raw data or uses it for ML training; cloud users should still review the privacy policy.