Give an AI trading agent order-book context
Order-book data helps describe current liquidity and execution conditions. DXAP includes Hyperliquid order-book access among its documented tools. Use it to inform a decision, while recognizing that visible liquidity can change before an order executes.
Published by DXAP, a product of DX Research Group. Updated September 13, 2026.
Ask what the book adds
Define whether you want the agent to consider liquidity, spread or the feasibility of a proposed order. The book describes resting interest at a moment in time; it does not guarantee that liquidity will remain available or that price will move in a particular direction.
Separate a thesis from execution conditions
A thesis may look attractive while current execution conditions are unfavorable. Ask the agent to explain both. Keep order authority and configured limits explicit. A model’s interpretation of the book should not silently override the account’s permitted actions.
Compare intent with the fill
Review what the agent expected and what actually executed. If a fill differs from the expected price or size, inspect the order and market record rather than assuming the reasoning alone explains the result. This is not a promise of low-latency market making or queue-position control.
An instruction to adapt
Illustrative instruction: “Before proposing an order, describe relevant liquidity and execution concerns. Distinguish the market thesis from whether the current book supports the intended execution. Explain uncertainty rather than assuming visible liquidity will remain.”
Illustrative wording only. This page does not create an agent or configure its limits.
Questions about this workflow
Does order-book access guarantee a fill?
No. Liquidity and prices can change, and order type and execution conditions matter.
Is this a high-frequency market-making template?
No. It is an example of how to request order-book context in an agent’s reasoning, not a latency-sensitive execution system.
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Trading can lose money. Examples describe workflows, not expected returns.