Soroban testnet ledger reading… ledger close 5.000000 s ± 0.000050 · measured, not assumed read-only · these pages never sign or submit

Reference · read from the network, not from documentation

What the network says about archival

The configuration below is read live from testnet when the page loads. Rent is not a flat per-byte rate — the CLI prices it by simulating against the network precisely because that formula does not hold, so no such rate appears here.

ParameterLedgersAbout
max_entry_ttl3,110,400 No entry lives past this. Any figure above it is a live impossibility.
min_persistent_ttl120,960 Fresh instance, code and persistent entries start here — about seven days.
min_temporary_ttl720 Fresh temporary entries start here — about an hour. Two orders of magnitude below the rest.

Committed with this build, read at ledger 4,821,849. Refreshing live…

What happens at zero

An entry is still live at its final ledger — remaining zero means one ledger left, not expired. Past it, instance, code and persistent entries are archived: unusable until someone pays to restore them, slower and more expensive than a normal read. Temporary entries are deleted outright and cannot be restored at any price. Reporting those two fates the same way is a serious interface bug, so they are never the same chip anywhere on this site.

Measured, not read from documentation

Ledger close 5.000000 s, ± 0.000050 — sampled from 11 testnet closes 2,000 ledgers apart and run through the same measurement the CLI uses. The precision is the finding: across a full maximum TTL the uncertainty band is over an hour wide, so wall-clock dates are estimates and ledgers are the truth.

Temporary floor: the configured minimum is 720 ledgers, about an hour; our own temporary entry had 688 left when first sampled — the ~57 minutes. Those are two different things and they are stated together so they are not conflated.

Durability, not size: persistent rent measured about 1.95× temporary at byte-identical size. The price follows what the entry is, not only how big it is — which is itself the argument for simulating rather than computing.