AI & Agents
Arkor
Last updated 2026-07-22 · benchmark measured 2026-08-13 — deterministic & reproducible
Agent-native framework for fine-tuning and deploying open-weight models in TypeScript.
Is Arkor production-ready?
Legit.Show scores Arkor 90 out of 100 — the simple average of its 7 measured frames. Legit.Show ran its deterministic 7-Frame production-readiness benchmark on Arkor (public-surface assessment), measured from the public surface with no LLM in the scoring path. Its strongest frame is Accessibility; its weakest is Security. Every frame it averages is published with its evidence on the Legit.Show listing.
The 7 Frames
- Performance — 91/100
- Accessibility — 100/100
- Security — 65/100
- Privacy — 75/100
- Reliability — 100/100
- Standards — 97/100
- Discoverability — 100/100
What we measured
- Security headers present: CSP, HSTS.
- Served over HTTPS with a valid certificate.
- Real Lighthouse performance run — 421 ms to first byte.
- Returns a proper 404 for unknown routes.
- 3 of 3 sampled routes reachable.
- Has a reachable privacy policy.
- Sets cookies / loads scripts with no consent prompt.
- Discoverable: structured data, sitemap, OpenGraph image, canonical URL.
Who built it
Hina Nakahira (@soleil_colza_) · product account @arkorlab
Who it's for
TypeScript developers · Next.js teams · AI/ML engineers · Startups · Teams without Python expertise
Pricing
Free during alpha; pricing not yet published
Visit Arkor → · Alternatives to Arkor → · How this was measured →