Use Case: AI agents and Smart Contract Vibe Coding

AI-generated smart contracts—produced by code-generating models or agents—are increasingly being deployed for predictable, domain-specific tasks in DeFi, staking rewards, and network automation. However, these contracts are limited by the scope of data natively accessible within EVM environments. On-chain state access is restricted to current balances, logs, and storage; historical queries, aggregates, or cross-chain metrics are not directly computable within smart contracts. This limitation prevents AI-generated contracts from making data-driven decisions that require access to rich or longitudinal data—capabilities traditionally handled by off-chain backends.

Space and Time solves this problem by acting as a decentralized ZK-verifiable data warehouse. Smart contracts initiated by AI agents can issue queries to the SXT network to retrieve precise historical, aggregate, or cross-chain data. These queries are executed off-chain by Prover nodes using SQL over tamperproof-indexed tables, and the resulting outputs are accompanied by a zero-knowledge Proof of SQL. The contract only needs to verify the lightweight proof on-chain, ensuring that the computation was correct, without processing or storing raw data.

Validator nodes in Space and Time do not store full data tables onchain—instead, they maintain cryptographic commitments to each table. These commitments are continuously updated as rows are inserted via DML/DDL transactions, enabling provers to later demonstrate the correctness of queries over a committed dataset. This model allows smart contracts to verify everything from a user’s one-year staking history to multi-chain liquidity conditions—without trusting a third-party oracle or centralized backend.

As AI agents become more autonomous, they will increasingly require authenticated data not just from blockchain networks, but from each other. Space and Time enables AI agents to exchange ZK proofs of their internal state (e.g., performance metrics, historical behavior, or risk assessments). These proofs allow agents to independently verify that their counterpart meets specific preconditions before engaging in cooperative logic or executing on-chain protocols. This lays the foundation for agent-to-agent trustless coordination protocols.

In short, Space and Time provides the missing verifiable data layer for the next generation of AI-native smart contracts and agent-driven systems—allowing for secure, proof-based access to complex data at scale.