Skip to content
Panshi
EN / /
← Panshi Sentinel
B
Panshi Sentinel · point-in-time verification

Unity2.ai

Verified B · All 3 mainstream models passed verification

api.unity2.ai · checked 2026-06-22 · engine v0.8

Provider info

Name
Unity2.ai
API endpoint
https://api.unity2.ai/v1
Last checked
2026-06-22
75
trust index
Verified B verify rate 3/3
Authenticity75
Crypto / cloud confirm0
Coverage100
Availability100

Per-model verdict

Each model is judged independently — one verified model never speaks for the whole relay. Models outside our reference set are marked "not yet covered" with no verdict.

claude-opus-4-8
detected: anthropic
75
Genuine · multi-dimensional confirmation
Behavioral fingerprint3 cross-checked signals
Multi-signal analysis consistent, no contradiction
claude-sonnet-4-6
detected: anthropic
75
Genuine · multi-dimensional confirmation
Behavioral fingerprint4 cross-checked signals
Multi-signal analysis consistent, no contradiction
gpt-5.5
detected: openai
75
Genuine · multi-dimensional confirmation
Behavioral fingerprint
Multi-signal analysis consistent, no contradiction
How to read this grade

🛡️ A · Panshi Certified — mainstream models verified with strong evidence (trust ≥ 90), no substitution or downgrade.

B · Verified — mainstream models are genuine (trust ≥ 75), no substitution or downgrade.

🟡 C · Partial — some models unconfirmed / downgrade suspected.

Not certified — at least one mainstream model did not pass verification. Capping rule: any cross-vendor mismatch caps the whole relay to "not certified"; any same-vendor downgrade caps it to B — so a few genuine models can never mask a substituted one.

How we test

1

Behavioral fingerprinting

A set of probes samples the model's answer-style distribution and compares it against our official-source reference fingerprints — identifying which model it behaves like, even when prompted to disguise itself as Claude.

2

Cryptographic-grade verification

Supported models undergo cryptographic-grade authenticity verification — the strongest evidence; genuine models resold through Bedrock / Vertex official cloud are cross-confirmed via channel fingerprint and multiple signals.

3

Multi-signal cross-check + per-model verdict

High confidence requires several independent signals (identity, latency, capability, rank tests) to agree. Each model is judged independently — one verified model never speaks for the whole relay.

⚠️ Results are probabilistic signals, not legal proof. This certification is a point-in-time snapshot; a relay's backend may change at any time, and continuous assurance requires paid monitoring. Models outside our reference set are marked "not yet covered" with no verdict. We only publish positive verification — those that do not pass are simply "not certified".

Full scoring method & grades →

Data looks wrong, or want your relay certified? Contact us.