went into @SpaceandTime 's Proof of SQL thinking the hard part was checking if data was real. Then I realised the bigger question: what can you DO with trusted data?

Think of an AI agent about to move money. It needs your balances, protocol activity, and past transactions before it acts. But it cannot trust any number it sees.

Proof of SQL fixes that. It proves the query itself, a million rows in under a second on one GPU, while other ZK takes minutes. Even a protocol's recorded fees can be proven.

Fast and proven are two different things. A normal database is fast, but no one can check its answer. Enterprise launched 3 days ago, so companies can use the same proof on private data, without showing any record.

The same proof covers tokenization too, a fund's holdings, cashflows and valuations in one NAV report, and a tokenized stock's volume across pools in one figure. In DeFi, swap-fee discounts come from swap history.

$SXT pays for the network and secures it through staking.

Imagine an AI agent that only moves money on data it can prove. That is why I am watching $SXT .

#SXT

#sxt $SXT @SpaceandTime