Wren AI
Verified Oct 2, 2026 ActiveOpen-source GenBI agent that answers data questions in plain language and builds dashboards over your governed warehouse data.
Listed on EffectHub ·
Pricing
- Pricing model
- Freemium
- Paid options from
- $179/mo
- Billing
- Monthly
Cloud is priced by credits, not seats. Free gives 20 monthly credits and 80 trial credits for 14 days; Essential Cloud is $179/month billed annually with 13,200 annual credits, Enterprise Cloud $559/month billed annually, and self-hosted Enterprise Plus is quoted per concurrent session. Extra credits are $0.10 each.
Use tool ↗About Wren AI
Wren AI turns natural-language questions into governed SQL, charts and interactive dashboards across 20+ databases such as Snowflake, BigQuery, Postgres and ClickHouse, querying data in place. A shared context layer holds metric definitions, so people in the web app and external agents such as Claude or ChatGPT, calling it over MCP, get the same answer. It adds row- and column-level security, role-based access and audit logs. The core engine is Apache-2.0 on GitHub; Wren AI Cloud is the hosted product, with self-hosted Enterprise Plus for regulated setups.
- API
- Yes
- Last verified
- Oct 2, 2026
Verified sources
- Product overview: GenBI agent, MCP, 20+ sources, open sourcegetwren.ai ↗
- Pricing: Free, Essential Cloud $179/month annual, Enterprise Cloud $559/month annual, Enterprise Plus quotedgetwren.ai ↗
- Open-source repository, Apache-2.0 engine, created March 2024github.com ↗
- Privacy policy names Canner, Inc. (Wren AI), Lewes, Delawaregetwren.ai ↗
Is Wren AI 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
- On the market since
- 2024The vendor's own material, read by us
- Operated by
- Canner, Inc., United StatesOur research, card verified Oct 2, 2026
Pros & cons of Wren AI
A solid fit for data teams that want a governed text-to-SQL layer shared by analysts and AI agents, and that value an open-source core they can self-host. Cost is credit-based, so heavy use needs the plan sizing tool; the free tier is only enough for light testing.
Pros
- Apache-2.0 core that can run self-hosted or air-gapped
- One context layer gives the same answer in the app, Slack and over MCP
- Row- and column-level policy applied at query time with audit logs
- Unlimited users on paid plans, with usage billed in credits
Cons
- Credit billing makes monthly cost depend on model and question volume
- Row-level security, MCP and audit features start at the Enterprise Cloud tier
- Annual billing is the headline price, and the free tier is tight
Best for
- Data teams exposing warehouse data to Claude, ChatGPT or internal agents over MCP
- Companies that need row- and column-level security on natural-language queries
- Teams that want dashboards from a prompt without a seat-based BI license
Not for
- Solo users who only need a quick chart from a spreadsheet
- Teams without a cloud warehouse or SQL database to connect
Watch out: The $179 and $559 headline prices are per month but billed annually, and free credits expire at the end of each month without rolling over.
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