Dot
Verified Oct 2, 2026 ActiveAI data analyst that answers business questions from your warehouse in Slack, Teams or email, with SQL, charts and scheduled reports.
Listed on EffectHub ·
Pricing
- Pricing model
- Freemium
- Paid options from
- $180/mo
- Billing
- Monthly
Usage is metered in credits, roughly one credit per minute of analysis. A free plan gives 300 one-time credits with full Pro features; Pro is listed at $180 a month on annual billing ($200 monthly) with 150 credits a month and unlimited users, Team at $720 a month annual ($800 monthly) with 800 credits plus SSO and row-level security. Extra credits are sold separately and Enterprise is custom.
Use tool ↗About Dot
Dot connects to a company's data stack, including warehouses such as Snowflake and BigQuery, dbt and BI tools, and lets staff ask questions in plain English from Slack, Microsoft Teams, email or a web chat. It finds the right tables, writes the SQL, returns a chart and a written answer, and can run longer multi-step analyses or send slide-style reports on a schedule. A context agent collects metric definitions and documentation so answers follow the company's own rules, and access is governed through roles, SSO and row-level security. It is built by the German company Snowboard Software GmbH, trading as GetDot.
- API
- Yes
- Last verified
- Oct 2, 2026
Verified sources
- Product scope: Slack, Teams and email chat, deep analysis, automated reports, context agent, SOC 2 and zero data retention claimsgetdot.ai ↗
- Free, Pro and Team prices, credits and annual versus monthly billinggetdot.ai ↗
- Operating company Snowboard Software GmbH d/b/a GetDot, registered in Germanygetdot.ai ↗
Is Dot legit?
We don’t label tools safe or unsafe. Below are the records we checked ourselves, each with the date we read it.
- Last checked
- Oct 2, 2026The site answered
- Operated by
- Snowboard Software GmbH, GermanyOur research, card verified Oct 2, 2026
Pros & cons of Dot
Dot is a good fit for a company whose data already sits in a warehouse and whose non-technical staff keep asking an analyst for numbers. Putting the answer in Slack or Teams is the practical draw, and the governance features make it easier to approve than a loose chatbot over SQL. It is a poor fit for a team without a clean, documented data model, and the credit meter makes heavy use hard to forecast.
Pros
- Answers arrive in Slack, Teams or email, where questions are already asked
- Free plan includes full Pro features, so a real trial on company data is possible
- Role-based access, SSO and row-level security are on the paid tiers, with SOC 2 Type II and zero data retention at the LLM providers stated on the site
- Scheduled, presentation-style reports and a deeper multi-step analysis mode go beyond one-off SQL answers
Cons
- Entry paid price is high for a small team and the cheapest tier excludes SSO and row-level security
- Credit-based billing means cost depends on how long each analysis runs
- Answer quality relies on the effort put into training it with business rules and definitions
Best for
- Operations, sales and finance teams that need quick answers without waiting on an analyst
- Data teams that want to offload ad-hoc requests while keeping metric definitions governed
- Companies already running Snowflake or BigQuery with Slack or Teams as the daily workspace
Not for
- Individuals who want to chat with a single spreadsheet or CSV file
- Teams without a warehouse or without time to document metrics for the context agent
Watch out: The $180 and $720 headline prices are for annual billing; month-to-month is $200 and $800. The free plan's 300 credits are one-time, not monthly, and extra credits cost $2.00 each on Pro ($1.80 annual).
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