From the experiment

Do coding agents recommend Metabase?

Metabase was chosen in 6% of 598 judged product analytics sessions, ranking second. Measured with Claude Code, Codex, Cursor, Grok Build CLI and Muse Code.

Published September 28, 2026 Updated September 29, 2026 Read as Markdown

Metabase was chosen in 6% of 598 judged product analytics sessions, ranking second. It was also raised as a candidate in 218 further sessions without being chosen.

This page reports what happened when Claude Code, Codex, Cursor, Grok Build CLI and Muse Code had to solve a problem in product analytics inside a realistic codebase. Not what a chat assistant says about Metabase. What an agent actually installed.

The numbers

CategoryProduct analytics
Sessions in the category598
Sessions where Metabase was chosen37
Install share6%
Rank in category2 of 20
Codebases it won in8
Raised as a candidate, not chosen218
Chosen when considered15%
Sitemetabase.com

By agent

Claude Code, Codex, Cursor and Muse Code land within 9 points of each other on Metabase, which is closer than most products in this experiment manage. Grok Build CLI ran fewer than 30 sessions here, too few to compare.

AgentSessionsChose MetabaseShare
Claude Code15043%
Codex18063%
Cursor14964%
Grok Build CLI291034%
Muse Code901112%

By who was asking

Metabase performs similarly across the four kinds of buyer, from 1% to 11%. That is unusual: the category leader changed with the persona in 23 of the 31 categories we measured.

Who is askingSessionsChose MetabaseShare
Vibe coder6047%
Junior developer24031%
Senior engineer2382711%
Enterprise team6035%

What Metabase was up against

The full ranking in product analytics, from the same sessions:

#ProductRuns wonShare
1PostHog33256%
2Built in-house (no product adopted)8214%
3Metabase (this page)376%
4Vercel Analytics275%
5Mixpanel193%
6Amplitude193%
7Segment183%
8Looker Studio122%

What this means

This is an integration problem, not a presence problem. Agents raised Metabase in 218 sessions and chose it in 37, so it reaches the shortlist and then loses. Something at the last step is costing the session, and in our data that is usually a quickstart that does not run when pasted, documentation describing an interface that changed, or a package name that does not match the product name.

That is the cheaper of the two problems to have. The reason is written down in each losing transcript.

Where these numbers come from

The 598 sessions in product analytics are part of a published set of 15,051, run with real coding agents inside realistic codebases and judged blind. The full method is on one page: how we measured this.

Every product analytics run can be replayed on the board.

If you work on Metabase: the judge recorded a reason for every session where it was raised and passed over. Those reasons are in the transcripts.

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Common questions

Do coding agents recommend Metabase?

Yes. Metabase was chosen in 37 of the 598 judged sessions in product analytics, a 6% install share, ranking second in its category.

Does Claude Code recommend Metabase?

In 4 of the 150 sessions in product analytics run with Claude Code, which is 3%.

Do different coding agents treat Metabase differently?

Not much. Claude Code, Codex, Cursor and Muse Code chose it at similar rates, between 3% and 12% of their runs.

How was this measured?

Real coding agents at pinned versions were run in sandboxes inside 92 realistic codebases and asked to solve real tasks. A simulated project owner approved or questioned each recommendation before any code was written, and a judge from a model family that builds none of the agents read every session blind.

How often is Metabase considered but not chosen?

It was raised as a candidate in 218 sessions without being chosen, and chosen in 37. That is a 15% conversion from considered to chosen.

Where this comes from

Armature ran 15,051 judged sessions with Claude Code, Codex, Cursor, Grok Build CLI and Muse Code inside 92 realistic codebases, and published every run. The numbers on this page come from that work.

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