AI & Agents
Labelbox
Last updated 2026-08-03 · benchmark measured 2026-08-03 — deterministic & reproducible
Labelbox is a reinforcement learning data engine for AI teams and frontier labs.
64/100
Legit Benchmark — the simple average of 7 measured frames. Frames we could not measure are left out of the average, never counted as zero. Every frame is shown below with its evidence.
Is Labelbox production-ready?
Legit.Show scores Labelbox 64 out of 100 — the simple average of its 7 measured frames. Legit.Show ran its deterministic 7-Frame production-readiness benchmark on Labelbox (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 — 38/100
- Accessibility — 80/100
- Security — 45/100
- Privacy — 25/100
- Reliability — 100/100
- Standards — 76/100
- Discoverability — 85/100
What we measured
- Security headers present: HSTS.
- No Content-Security-Policy.
- Served over HTTPS with a valid certificate.
- Real Lighthouse performance run — 119 ms to first byte.
- Returns a proper 404 for unknown routes.
- 3 of 3 sampled routes reachable.
- No privacy policy found.
- Sets cookies / loads scripts with no consent prompt.
Who built it
product account @labelbox
Who it's for
Frontier AI labs · Enterprise AI teams · Robotics researchers · AI safety teams · ML engineers