Natural Language Over Onchain Data, With Receipts

Natural-language queries made onchain data easier to access. SXT makes the answers verifiable, proving they match real chain state before users or agents act.

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The Space and Time Blog

Stay in touch with our latest developments and announcement.

Institutional adoption, ZK research, product updates, and onchain trends. It’s all here.

Everyone Is Solving the Wrong Half of Explainability

Explainability shows how a model used its inputs, not whether those inputs were true. SXT adds verifiable data so AI decisions rest on provable facts.

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Proof of Execution: Trading Agents and the Audit Problem

Best execution depends on the prices an agent saw, not just the orders it sent. SXT gives trading agents verifiable market data firms can show regulators.

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Credit Decisions an Agent Can Defend

Credit explanations are only compliant if the data behind them is true. SXT lets lenders prove the onchain factors agents used before adverse action reasons are issued.

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Lineage is the New Audit Scope

Data lineage is becoming something institutions must prove, not just document. SXT creates verifiable lineage at query time, before agents act on regulated data.

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