For AI

AI makes claims cheap to fake. MIZAN makes them expensive to fake and free to check.

Model scores, agent track records, uptime, identity, conduct: proven or recorded from evidence the agent does not control, with the model never revealed. One signed answer any lab, platform, buyer or contract can rely on.

We prove named, measurable facts about the past. We never claim a system is safe, aligned or honest in general.

Every claimFor AI labs
IThe problems

What AI cannot prove about itself, and what MIZAN does.

Marked honestly: live, next, beside (partners do it) or never claimed.

AI problemMIZANStatus
Fake agent track recordsOnly proven records pass; everything else says which rung it stands onLive
Impersonated agentsIdentity linked by proof of control (domain, endpoint, keys, passkey), bound into every receiptLive
Retraining hides failuresEvery committed model version counts against the claimLive
Paying unproven agents at machine speedThe check sits inside the payment step, MCP, A2A and your own codeLive
"Why did the agent pay that one?"A signed reason per decision, in a log anchored to BitcoinLive
Agent forecast claimsForecasts locked before they resolve, scored on all of themLive · logged
Agent reliabilityUnannounced probes, every result chained and anchoredLive · logged
Your own bar for agentsPlain words in, a standard out, enforced clause by clauseLive
Benchmark claims and contaminationEvery run and version counted, the benchmark committed firstNext · new era
Model substitutionWeights hash bound to identity; inference attestedNext · partners
Mandate and conductRules proven over the agent's committed action logNext
Training-data claimsAttested dataset commitments; never "no other data"Next · bounded
Prompt injection, hallucination in generalMIZAN limits the damage (only proven counterparties get paid); it does not fix model behaviourBeside
"This AI is safe / aligned / honest"Not measurable as statedNever claimed