Introducing the Basedash Agent

Today we’re launching the Basedash Agent — your AI data analyst.

Ask a question and the agent answers it: it explores your database, writes and runs the SQL, builds the visualization, and explains what it found. It understands your schema, your custom business context, and your team. It’s the power of a dedicated data analyst with the ease of ChatGPT.

Just ask. The agent does the analysis.

Why we built the agent

Most companies have far more questions than analysts to answer them. So the important ones get asked, and everything else — the small, curious, “I wonder if…” questions that actually move a product forward — never gets answered at all. The bottleneck isn’t curiosity. It’s the number of people who can write SQL and know the schema.

Text-to-SQL tools tried to solve this, but they mostly produce a single query and hope it’s right. Real analysis isn’t one query. It’s exploring the schema, trying something, noticing the result looks off, fixing the query, and following the thread until you have a real answer.

The Basedash Agent works the way an analyst works. It plans, queries, checks its own work, and iterates — so the answer you get is one you can actually trust.

Generate charts, no technical knowledge required

The agent meets you where you are. Ask for what you want in plain English and it generates the chart, the breakdown, or the summary — no SQL, no schema knowledge, no setup.

Ask “where are my signups coming from over the last 90 days?” and you get a real chart with the source breakdown, device split, and trend over time, ready to drop onto a dashboard or share with your team.

Chat with any business data

The agent works across everything you’ve connected to Basedash — SQL databases, warehouses, and the SaaS tools your business runs on.

Snowflake, Postgres, MySQL, Stripe, Salesforce, HubSpot, Google Analytics, Google Ads, and more — ask one question and the agent figures out where the answer lives.

Just mention @Basedash in Slack

The best analyst is the one you don’t have to context-switch to reach. The Basedash Agent lives in Slack, so anyone on the team can get an answer without leaving the conversation.

Mention @Basedash in a thread — “compare daily actives, retention rate, and churn vs last week” — and the agent looks through your data and replies right there, where the whole team can see it.

Teach it your business

Every company has its own language: what a metric means, which accounts to exclude, how the team is structured, what an initiative is called. The agent gets sharper the more of that context you give it.

Add documentation, KPIs, OKRs, goals, team structure, industry terminology, and any other context, and the agent uses it to answer questions the way someone on your team would.

Built to be trusted

An analyst is only useful if you can trust the numbers. We built the agent to be accurate and verifiable, with a workflow designed to catch and resolve its own errors before they reach you.

The result is a dramatically lower hallucination rate, a near-perfect SQL error resolution rate, and a setup that takes minutes instead of the engineering project that wiring up your own tooling usually requires.

Getting started

The Basedash Agent is available today for all Basedash users.

1. Sign up for Basedash (or log in)
2. Connect your data sources
3. Ask the agent your first question — or connect Slack and mention @Basedash
4. Add custom context so it answers the way your team would

For more on what’s possible, see the AI chat feature page.

What’s next

The Basedash Agent turns the question “I wish I knew…” into an answer anyone on the team can get in seconds. It’s a step toward a world where everyone has a data analyst, not just the teams big enough to hire one.

Try the Basedash Agent today and just ask your data.