Tokenized assets need more than ownership records 🔍
As financial assets move onchain, applications may need to calculate information that depends on large or changing datasets.
Think asset reporting calculations, historical performance, or aggregating the trading volume of a tokenized stock across multiple liquidity pools.
Running every calculation directly onchain isn't always practical.
Space and Time's Proof of SQL allows supported SQL queries to be executed against committed data while generating a cryptographic proof that the computation was performed correctly.
That result can then be verified by smart contracts or offchain applications.
This gives tokenized applications a way to make complex data calculations verifiable without treating every result as something users simply have to trust.
Through its $SXT network, Space and Time provides the infrastructure supporting these verifiable data workloads.
It doesn't verify custody or replace an audit of the underlying asset.
It verifies the computation performed against the committed data.
#Tokenization
As financial assets move onchain, applications may need to calculate information that depends on large or changing datasets.
Think asset reporting calculations, historical performance, or aggregating the trading volume of a tokenized stock across multiple liquidity pools.
Running every calculation directly onchain isn't always practical.
Space and Time's Proof of SQL allows supported SQL queries to be executed against committed data while generating a cryptographic proof that the computation was performed correctly.
That result can then be verified by smart contracts or offchain applications.
This gives tokenized applications a way to make complex data calculations verifiable without treating every result as something users simply have to trust.
Through its $SXT network, Space and Time provides the infrastructure supporting these verifiable data workloads.
It doesn't verify custody or replace an audit of the underlying asset.
It verifies the computation performed against the committed data.
#Tokenization