AI Agents Are Getting Smarter But Their Financial Data Still Needs Proof
An AI agent can generate trading strategies or interact with DeFi contracts, but access to historical blockchain information remains a limitation. Smart contracts cannot efficiently process millions of historical records themselves.
The architecture developed by @SpaceandTime offers another approach. Prover nodes execute SQL queries outside the EVM and return cryptographic proofs that smart contracts can verify.
The network also indexes blockchain activity across ecosystems including Ethereum and Base. This gives developers a way to combine historical transactions, contract events and application data when building automated financial systems.
I find this direction particularly relevant as AI agents become more involved in financial operations. $SXT represents infrastructure aimed at making their data driven decisions independently verifiable, although proof of accurate computation does not guarantee a good financial decision.
#SXT #sxt $SXT
An AI agent can generate trading strategies or interact with DeFi contracts, but access to historical blockchain information remains a limitation. Smart contracts cannot efficiently process millions of historical records themselves.
The architecture developed by @SpaceandTime offers another approach. Prover nodes execute SQL queries outside the EVM and return cryptographic proofs that smart contracts can verify.
The network also indexes blockchain activity across ecosystems including Ethereum and Base. This gives developers a way to combine historical transactions, contract events and application data when building automated financial systems.
I find this direction particularly relevant as AI agents become more involved in financial operations. $SXT represents infrastructure aimed at making their data driven decisions independently verifiable, although proof of accurate computation does not guarantee a good financial decision.
#SXT #sxt $SXT
