Postgres Query Generator: The AI PostgreSQL Query Builder That Runs Your Query Read-Only
Ask in plain English. Agentsql reads your Postgres schema, writes the query for your real tables, runs it through a read-only role, and shows you the SQL next to the answer.
PostgreSQL · read-only role · SQL shown every time · Last updated September 2026
Ask your data a question:
Writing SQL… Running (read‑only)… SQL Agentsql wrote
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Click a question. Agentsql writes the SQL, runs it read-only, and answers.
Direct answer
A Postgres query generator turns a plain-English question into PostgreSQL. Most of the tools ranking for the term print a query you still have to paste into psql and run yourself. The useful kind reads your schema first, runs the query, and shows you both the SQL and the result. Agentsql connects to Postgres through a read-only role, writes SQL against your real tables, runs it, and returns a chart, a table and a one-line answer with the query beside them. Running the query is the part that matters, because Postgres has several habits that return a wrong number instead of an error. The best known: dividing two integers returns an integer, so a count of paid accounts divided by a count of all accounts comes back as 0 for any conversion rate under 100 percent.
›_ how the postgres query generator works
Four steps from question to a number you can check.
A generator that skips step one is guessing at your table names. One that skips step four is asking you to trust a number you cannot see the working for.
01
Connect a read-only role
Paste a connection string for a role that holds SELECT and nothing else. Production or a read replica both work. The setup takes a few minutes and is shown further down this page.
02
Read the schema
Agentsql reads your schemas, tables, column types and foreign keys, including mixed-case names an ORM created, so the query uses what is actually there.
03
Write PostgreSQL, not generic SQL
The query is written in Postgres's own dialect: date_trunc, FILTER, ILIKE, DISTINCT ON, generate_series and explicit numeric casts where integer division would bite.
04
Run it and show the SQL
You get a chart, a table and a one-line answer, with the exact query next to them. Copy it into psql, a dashboard or a pull request if you want to keep it.
›_ postgresql query generator, the part that goes wrong
Six ordinary questions where Postgres returns a wrong number, not an error.
Each behavior is documented in the PostgreSQL manual (version 18.6, read 10 September 2026). A query that fails is cheap. A query that runs and is wrong reaches a board deck.
| The question | What quietly goes wrong | What the Postgres query needs |
|---|---|---|
| What is our trial to paid conversion rate? | Integer division truncates. count() returns a bigint, and Postgres documents 5 / 2 as 2, so paid / total returns 0 for any rate under 100 percent. No error, just a zero. | (count(*) FILTER (WHERE paid))::numeric / count(*) |
| How much revenue did we book each day? | date_trunc on a timestamptz column truncates in the session TimeZone. A connection set to UTC puts a 9pm New York order on the next day, so daily totals shift. | date_trunc('day', created_at, 'America/New_York') |
| Show the most recent order for each customer. | DISTINCT ON keeps the first row per group, and the docs say that row is unpredictable unless ORDER BY puts the one you want first. | DISTINCT ON (customer_id) ... ORDER BY customer_id, created_at DESC |
| Find every account with "acme" in the name. | LIKE is case sensitive in Postgres, so it misses "ACME Corp". Teams coming from MySQL, where the default collations ignore case, get a short list and assume it is complete. | name ILIKE '%acme%' |
| How many users signed up last week? | Unquoted identifiers fold to lower case. If an ORM created the table as "User", an unquoted User is read as user, which is a reserved word and not your table. | SELECT count(*) FROM "User" ... |
| Chart orders per day for the last 30 days. | GROUP BY only returns days that have rows. A day with zero orders disappears, and the line chart quietly joins the days on either side of it. | generate_series(now() - interval '29 days', now(), interval '1 day') |
The first row is the one worth remembering. Ask a generator for a conversion rate and you will often get something like sum(CASE WHEN paid THEN 1 ELSE 0 END) / count(*). On MySQL, where the / operator always returns a decimal, that gives you 0.0412. On Postgres it returns 0, because both sides are integers and the manual is explicit that integer division truncates toward zero. Nothing errors. A person reading only the number sees a zero percent conversion rate and either panics or, more likely, stops trusting the tool. A person who can see the SQL spots the missing cast in a second.
The time zone row catches more US teams than any other. Most hosted Postgres defaults to UTC, so a query grouping orders by day puts everything after 7pm Eastern (8pm in summer) on tomorrow's total. If your finance team closes the day in New York time, the daily numbers will never match theirs until the query passes a time zone to date_trunc. The same logic applies to week and month boundaries, just less often.
›_ best postgres query generator tools compared
Seven tools that rank for this query, and what each one charges you for.
Prices read from each vendor's own pricing page on 10 September 2026, monthly unless marked. Chat2DB is left out of the price column because its page renders prices with script and we would rather not guess.
| Tool | Connects to your Postgres | Runs the query | What you pay for | Published price | Best for |
|---|---|---|---|---|---|
| AI2SQL | Pro and Team only. Start writes SQL for MySQL and PostgreSQL without a connection. | Pro and Team run read-only queries on connected databases, including from Claude, ChatGPT, Cursor and VS Code | Queries per month (100 on Start), unlimited on Pro | Start $9, Pro $19, Team $39 a month (5 users). Yearly $84, $168, $348. | A developer who wants SQL written inside the editor they already use |
| SQLAI.ai | Yes, custom data sources on every plan | Yes, AI-generated queries run against the connected source | Queries per month: 50, 200, 1,000 or 3,000 | Hobby $4, Starter $6, Explorer $10, Pro $20 a month | One person who writes SQL and wants a fast assistant at low volume |
| AskYourDatabase | Yes. Desktop connects locally; the website chatbot connects from a fixed IP server | Yes | Seats on desktop; questions per month on the chatbot (1,000 or 1,500) | Desktop $49 a seat a month (the page says it moves to $69); chatbot $149 and $329 a month | Putting a data chatbot in front of your own customers |
| BlazeSQL | Yes, including a desktop app for private database connections | Yes, with dashboards and Slack or Teams delivery | Users | Individual Pro $150, Advanced $250 a month. Team $400 a month for 3 users, then $50 a user | A larger team that wants dashboards and chat integrations in one tool |
| Draxlr | Yes, host, port and credentials | Yes, into SQL dashboards | Databases and users, plus AI credits | Lite $25 (1 database, 1 user), Premium $75 (2, 10), Power $125 (5, 30), Enterprise $500 | SQL dashboards for a small team on a tight budget |
| Workik | Works from your schema | Offers a mock data environment for testing queries | Plan tier plus your own OpenAI API key and tokens | Starter $15, Premium $30, Elite $80 a month billed yearly ($25, $50, $150 monthly) | Developers generating queries and code alongside schema design |
| Agentsql | Yes, through a read-only Postgres role you create | Yes, read-only, and returns a chart, a table and a one-line answer with the SQL shown | Database connections and seats. No question cap | Starter $39 a month billed yearly ($49 monthly), 1 connection. Team $99 ($119), 5 connections, up to 10 seats | Teammates who do not write SQL asking questions of a production Postgres database |
Seven tools, five billing units
Queries, questions, users, databases and your own API tokens. Not one of these vendors meters the same thing as the next, which is why a headline price tells you so little. Work out which unit your team will actually use up first.
Five people, priced honestly
AI2SQL Team is $39 a month and Draxlr Premium $75, both cheaper than our Team plan at $99 billed yearly. AskYourDatabase Desktop is $245 at $49 a seat. BlazeSQL Team is $500: $400 for three users plus two more at $50.
When we are the wrong pick
If you write SQL all day and want help inside your editor, AI2SQL or SQLAI.ai cost less and fit that job better. If you want a chatbot facing your own customers, that is AskYourDatabase's product, not ours.
Where Agentsql fits is narrower and, for the people it fits, more valuable: a founder, an ops lead or a product manager who needs a number from the production database today and does not write SQL. For that person the generator is not the product. The answer is, and the SQL on screen is what lets the engineer on the team trust it without rewriting it. There is no cap on questions, so a busy month does not push anyone onto a bigger plan. If you are comparing us against the category more broadly, the text to SQL guide covers what separates these tools across all four engines, and the AskYourDatabase alternative page goes deeper on that one comparison.
›_ how to connect ai to postgresql safely
The read-only role, in seven statements.
Run these as a superuser or the database owner. Swap app for your database name and public for each schema the tool should see.
CREATE ROLE agentsql_ro LOGIN PASSWORD 'use-a-long-random-one'; GRANT CONNECT ON DATABASE app TO agentsql_ro; GRANT USAGE ON SCHEMA public TO agentsql_ro; GRANT SELECT ON ALL TABLES IN SCHEMA public TO agentsql_ro; ALTER DEFAULT PRIVILEGES IN SCHEMA public GRANT SELECT ON TABLES TO agentsql_ro; ALTER ROLE agentsql_ro SET default_transaction_read_only = on; ALTER ROLE agentsql_ro SET statement_timeout = '30s';
The grants do the real work: without INSERT, UPDATE, DELETE or any DDL privilege, the role cannot change a row whatever SQL it is handed. default_transaction_read_only is a second lock on the same door, and statement_timeout stops an exploratory query from holding resources for minutes.
You may see advice to grant the built-in pg_read_all_data role instead. It is shorter, but it reads every table, view and sequence in every schema, which is usually more than an analytics tool should see. The manual also notes it does not bypass row-level security, so if you use RLS, test the role before relying on it.
The Postgres connection guide covers replicas and TLS, and read-only security explains what Agentsql does on its side.
›_ who uses a postgres query generator
Four people whose question is sitting in a Postgres table right now.
SaaS founders
Signups, trial conversion and MRR by plan live in the app database. You know the business well enough to spot a wrong number, you just do not want to wait two days for it. More for founders.
Ops and support leads
Which accounts hit the error, how many orders are stuck, who has not logged in since the migration. Questions that arrive mid-incident and never fit a dashboard. More for ops.
Product managers
Did the new onboarding step change activation? Feature questions are one-offs by nature, which makes them a poor fit for a report someone built last quarter. More for product.
The engineer who owns the database
Every question above used to land in your queue. Now it arrives with the SQL attached, so you check it in five seconds instead of writing it in fifteen minutes. More for data people.
›_ frequently asked
Postgres query generator questions, answered.
Can AI write PostgreSQL queries?
Yes. Current models write correct PostgreSQL for joins, window functions, CTEs and JSONB operators without much trouble. Where they go wrong is your data, not the syntax: which column holds revenue, which join path is right, and Postgres behaviors like integer division that return a wrong number instead of an error. Reading your schema and showing the query fixes most of that.
How can I connect AI to my PostgreSQL?
Create a dedicated login role, grant it CONNECT, USAGE on the schemas it needs and SELECT on their tables, set default_transaction_read_only and a statement_timeout on the role, then paste the connection string into the tool. Agentsql connects over TLS with that role and only ever issues read queries, so the credential itself cannot write.
Is it safe to let AI query a production Postgres database?
It is safe when the database enforces read-only access, not the prompt. A role with SELECT and no write or DDL grants cannot change a row no matter what SQL is generated. Add a statement_timeout so an exploratory query cannot run for minutes, and point the tool at a read replica if your primary is busy.
What is the difference between a query generator and a query builder?
A query builder is usually a visual tool where you pick tables and filters by clicking, or a code library that assembles SQL for developers. A query generator takes a plain-English request and writes the SQL for you. The better generators also run the query and show the result, which is the step that saves real time.
Does a Postgres query generator need my schema?
It needs your schema to be right. Without it the tool guesses table and column names, and a guess like revenue instead of total_amount either fails or, worse, matches a different column. Agentsql reads your tables, columns and relationships when you connect, so every query it writes uses your real names.
How much does a PostgreSQL query generator cost?
Between $4 and $400 a month on the tools compared on this page, read from their pricing pages on 10 September 2026. The spread comes from what is metered: per-query plans are cheapest for one person at low volume, per-user plans cost the most for teams. Agentsql starts at $39 a month billed yearly with no question cap.
How do I query a PostgreSQL database without writing SQL?
Connect it to a natural-language tool through a read-only role and type the question the way you would ask a colleague. Agentsql reads your schema, writes the Postgres query, runs it, and returns a chart, a table and a one-line answer. You never open psql, but the exact SQL is on screen for anyone who wants to check it.
Which databases does Agentsql support besides Postgres?
Four in total: PostgreSQL, MySQL, Snowflake and BigQuery. Each gets SQL written for its own dialect. That matters here because the Postgres habits on this page do not carry over: MySQL has no DATE_TRUNC at all, and BigQuery takes the arguments to its DATE_TRUNC in the opposite order to Postgres and Snowflake.
›_ postgres and the product
›_ compare and price
Ask Postgres a question. See the SQL.
Connect a read-only role and get the answer, the chart and the query that produced them.