Legit.Show measured tabichat's Security frame at 25/100. No Content-Security-Policy and no HSTS. Served over HTTPS with a valid certificate.

How does Legit.Show measure tabichat?

Legit.Show scores seven frames — Performance, Accessibility, Security, Privacy, Reliability, Standards and Discoverability — deterministically from the public surface (URL, HTTP headers, real Lighthouse), with no LLM in the scoring path. See legit.show/methodology.

AI & Agents

tabichat

Last updated 2026-10-26 · benchmark measured 2026-10-26 — deterministic & reproducible

Tabichat is a shared chat layer connecting humans and multiple LLM agent sessions via MQTT.

72/100

7/7 frames

Top 72% of 17,496 measured

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.

Checked 2026-10-26 · scores move as sites change

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To cite this score: legit.show/s/tabichat-dev/2026-10-26. That address never changes; this page moves with every re-measure.

Legit.Show scored tabichat 72/100 on 2026-10-26, measured across all 7 frames from its public surface. legit.show/s/tabichat-dev/2026-10-26

Is tabichat production-ready?

Legit.Show scores tabichat 72 out of 100 — the simple average of its 7 measured frames. Legit.Show ran its deterministic 7-Frame production-readiness benchmark on tabichat (public-surface assessment), measured from the public surface with no LLM in the scoring path. Its strongest frame is Performance; 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 — 98/100
Security — 25/100
How this compares across the catalogue: The Web Security Baseline
Privacy — 25/100
How this compares across the catalogue: The Privacy Gap
Reliability — 92/100
Standards — 92/100
Discoverability — 75/100

What we measured

No Content-Security-Policy and no HSTS.
Served over HTTPS with a valid certificate.
Real Lighthouse performance run — 49 ms to first byte.
Returns a proper 404 for unknown routes.
0 of 0 sampled routes reachable.
No privacy policy found.
Sets cookies / loads scripts with no consent prompt.
Discoverable: OpenGraph image, canonical URL.

Who it's for

LLM agent developers · Teams running agent fleets · Organizations needing private agent coordination · IoT and edge computing users

Pricing

Free under $1M revenue; $1,200/year per deployment for $1M+ revenue or government entities; $600/year per deployment for Venya product license holders

Sources and updates

Description: Taken from tabichat.dev's own website on 2026-10-26.
Operator: Tabith LLC, as named in tabichat.dev's terms, privacy page or footer.
Benchmark: Measured by Legit.Show from the live site, the way any visitor sees it — with no access to its code or accounts. Same method for every product, and no AI decides the score. Last checked 2026-10-26.

Put together from public information, without tabichat's involvement. If anything here is wrong, tell us and a person will check it.

Visit tabichat → · Alternatives to tabichat → · How this was measured →