API易 (apiyi)
Verified B · All 4 mainstream models passed verification, 2 at cryptographic / official-cloud grade
api.apiyi.com · checked 2026-06-21 · engine v0.8
Provider info
- Name
- API易 (apiyi)
- Website
- api.apiyi.com
- API endpoint
- https://api.apiyi.com/v1
- Protocol
- OpenAI / Anthropic Messages compatible
- Models
- 310+ models
- Last checked
- 2026-06-21
An established multi-model aggregation relay, compatible with both OpenAI and Anthropic protocols. Its Claude models in this check are resold via AWS Bedrock official cloud and cross-confirmed genuine by multiple signals.
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.
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
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.
Cryptographic signature / official replay
Models supporting native signatures are verified via official replay; genuine models resold through Bedrock / Vertex official cloud lack native signatures but are cross-confirmed via channel fingerprint and multiple signals.
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 →
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