Developer Tools
MUS
Last updated 2026-07-05 · benchmark measured 2026-08-09 — deterministic & reproducible
MUS adds inline user feedback tools to AI outputs, dashboards, and reports.
Is MUS production-ready?
Legit.Show scores MUS 76 out of 100 — the simple average of its 7 measured frames. Legit.Show ran its deterministic 7-Frame production-readiness benchmark on MUS (public-surface assessment), measured from the public surface with no LLM in the scoring path. Its strongest frame is Reliability; its weakest is Privacy. Every frame it averages is published with its evidence on the Legit.Show listing.
The 7 Frames
- Performance — 98/100
- Accessibility — 94/100
- Security — 45/100
- Privacy — 25/100
- Reliability — 100/100
- Standards — 92/100
- Discoverability — 75/100
What we measured
- Security headers present: X-Content-Type-Options, Referrer-Policy.
- No Content-Security-Policy and no HSTS.
- Served over HTTPS with a valid certificate.
- Real Lighthouse performance run — 109 ms to first byte.
- Returns a proper 404 for unknown routes.
- 2 of 2 sampled routes reachable.
- No privacy policy found.
- Sets cookies / loads scripts with no consent prompt.
Who it's for
AI product teams · Dashboard and analytics platforms · E-learning platforms · Internal tool builders · Product teams managing user feedback
Pricing
Open source · MIT license · No pricing stated
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