A registry can be accurate today and still leave you with no independent way to prove what it recorded yesterday.
That is the part of GoDaddy’s Agent Name Service I find most interesting.
ANS uses a Merkle-tree transparency log to record agent lifecycle events. The important property is not simply storing the records, but making changes to the history detectable through cryptographic proofs. GoDaddy’s design even uses consistency proofs to show that a newer tree extends the previous one rather than rewriting it.
But I think there is a deeper trust question:
Who gives the registry’s history an independent point of reference?
That is where @hashgraph becomes relevant.
HCS-27 proposes publishing periodic Merkle-root checkpoints to Hedera’s consensus layer. The registry data does not need to be placed On-chain. The public network records the cryptographic commitment, while the underlying log and metadata remain off ledger.
To me, that creates a clean separation.
GoDaddy maintains the registry.
Merkle proofs make its state auditable.
Hedera provides an independent timeline for those commitments.
There is also an important limitation here.
A checkpoint does not prove that the original identity claim was true. It helps prove that the registry’s later history is consistent with a state that was already committed. The original verification and trust model still matter.
That distinction is easy to miss when talking about AI-agent identity.
As agents start representing companies, holding permissions and triggering actions across systems, knowing who an agent is will not be enough.
I think the more important question becomes.
Can I independently verify what changed, and when?
That is where verifiable history starts becoming infrastructure rather than metadata. 👍
$HBAR $ONT $AMP #Hedera #HBAR #AI