AI agents for BigQuery
A Monmo agent works in BigQuery like an analyst who writes careful SQL. It answers a question in plain words by querying your datasets, explains a query someone else wrote, checks tables for duplicates and gaps, and turns a query into a weekly report in Google Sheets. It uses your own Google Cloud access, and asks before it creates a table, view or scheduled query.
Updated 2026-11-13 · Free to start. Paid plans from $15 a month.
What agents do in BigQuery
Answer a question with SQL
Ask how many customers bought twice in their first 60 days. It reads the table schemas, writes the query, runs it and gives you the number with the SQL beside it so anyone can check the logic.
AskHow many customers placed a second order within 60 days of their first, by signup month this year?
Explain a query someone else wrote
Paste a 200-line query or point to a saved one. It explains each step in plain language, names the tables and joins, and points out logic that may double-count or drop rows.
AskExplain what this revenue query does step by step and tell me if anything could double-count.
Check data quality
It checks a table for duplicate keys, null values in required columns, dates in the future and days with missing rows, and writes a short report with the query for each check.
AskCheck the orders table for duplicate order IDs, missing customer IDs and days with no rows.
Keep query size in check
Before running a large query it does a dry run to see how many bytes it would scan, suggests filters on partitioned or clustered columns, and asks you first when a query is bigger than the limit you set.
AskBefore running anything over 50 GB, show me the estimate and ask. Use the date partition where you can.
Analyse your GA4 export
If you export Google Analytics data to BigQuery, it queries the event tables directly for questions the standard reports cannot answer, such as paths before a purchase or behaviour of a custom segment.
AskUsing our GA4 export, show the three most common page paths in the session before a first purchase.
Build a recurring report
It writes the query once, then every Monday at 7 runs it, puts the result into Google Sheets or a Looker Studio data source, and notes anything unusual. Saving a scheduled query in your project asks first.
AskEvery Monday at 7, run the weekly revenue query and update the Revenue sheet. Tell me if anything looks off.
Document a dataset
For a dataset nobody documented, it lists the tables, what each column seems to hold, how tables join and which ones are stale, and writes it up as a Notion or Google Docs page your team can keep.
AskDocument the marketing dataset: what each table holds, how they join and which ones look unused.
How it connects
- 1You connect your own Google account, or a service account your administrator sets up, once. The agent works in the projects and datasets that identity can reach, with its IAM roles: data viewer and job user are enough for reading and querying.
- 2You choose which agents use BigQuery. A data or finance agent fits; keep write roles away from agents that only need to read.
- 3Reading schemas and running queries are treated as reading, within the size limit you set. Creating, changing or deleting tables, views, datasets or scheduled queries, and loading or exporting data, ask first.
More in Analytics and data
Other apps of this kind that agents work in, each with its own page.
Questions people ask
Can an AI agent write BigQuery SQL?
Yes. A Monmo agent reads your table schemas, writes standard SQL for BigQuery, runs it and shows you the result with the query beside it. It names its assumptions, such as which date column it used, so you can correct it before you rely on the number.
How do I stop an AI agent running expensive BigQuery queries?
Set a limit when you brief it, and use BigQuery's own controls. The AI agent checks the estimated bytes with a dry run and asks before going above your limit. For a hard stop, your administrator can set custom query quotas and give its account only the roles it needs.
Can it change tables in our warehouse?
Only with your approval, and only if its account has write permissions. Creating a table, rewriting a view, deleting data or saving a scheduled query each appear on a card first. It works through the BigQuery connection, or in its own browser when the connection does not cover something.
Is BigQuery the right place for small-business reports?
Often not. If your data fits in Google Sheets or comes straight from Google Analytics, those may be simpler. BigQuery earns its place when data is large, comes from several systems, or you need raw event data. The agent can tell you which fits your case.