Code · SQL

AI SQL query generator — from question to query

Describe the data you need and Muse writes the SQL — joins, aggregates, window functions and all. Or paste a slow or broken query and get it fixed and explained.

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Example

Queries that read like the question

SQL mode writes clear, formatted queries, uses ranges that can hit indexes, and explains joins and grouping in one sentence each.

PostgreSQL, MySQL, SQLite, SQL Server, BigQuery dialects
Fix errors and explain slow queries
Window functions and CTEs
Paste your schema for exact column names

Muse · Code · SQL

Top 10 customers by revenue in 2026 from orders(customer_id, total, created_at) and customers(id, name).

SELECT c.name, SUM(o.total) AS revenue
FROM orders o
JOIN customers c ON c.id = o.customer_id
WHERE o.created_at >= '2026-01-01' AND o.created_at < '2027-01-01'
GROUP BY c.name
ORDER BY revenue DESC
LIMIT 10;

How to use it

SQL in three steps

Switch to Code

Open Muse and tap Code in the mode switcher.

Pick “SQL”

Choose the task and, optionally, the language.

Paste and send

Paste your code or describe what you need — then ask follow-ups.

Try these prompts

Things to ask

Monthly active users from an events tableFix this GROUP BY errorRewrite this subquery as a JOINRunning total with a window function

FAQ

SQL: common questions

Which SQL dialects does Muse support?

Tell Muse your database — PostgreSQL, MySQL, SQLite, SQL Server, BigQuery, Snowflake and others — and it uses the right syntax.

Does Muse connect to my database?

No. Muse never connects to databases. Paste your schema or sample rows and run the query yourself.

Can it optimize a slow query?

Yes. Paste the query (and the EXPLAIN output if you have it) and Muse suggests rewrites and indexes.

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