# Market intelligence for AI trading agents

Connect AI trading applications to structured market context, explicit data quality and request-level budgets.

Documentation preview · Execution: Testnet only

Content reviewed: 2026-10-24

Canonical: https://catalystdesk.ai/en/solutions/ai-trading-agents

Revision: discovery-2026-10-24.2

## At a glance

CatalystDesk turns supported market snapshots into versioned, descriptive context that an agent can inspect. A separate, approved Testnet workflow connects research to execution rehearsal.

## Build around evidence

Consume spread, local depth, imbalance, funding and eligible cross-market comparisons as named fields. Keep the source clocks, model revision and expiry alongside the observation instead of asking a language model to infer missing measurements.

## Choose the workflow that fits

Agent developers can integrate the SDK; quantitative teams can inspect the calculation method; community operators can write explainable briefs from permitted outputs. Start with the public synthetic example before requesting project access.

## Budget research separately from orders

A CatalystDesk project key authenticates the metered API. Credits pay for enabled data and model services; they do not grant trading approval. Execution rehearsal requires a configured Testnet account and independent approval. Descriptive context has no validated predictive performance.

## Inspect a structured sample

Illustrative workflow, not market data or a complete API response

Illustrative workflow only. No source data, private model parameters or execution logic are included.

```json
{
  "example": "illustrative workflow only",
  "question": "What could change this market assessment?",
  "evidence": "Source context and missing information are identified.",
  "decision_state": "Human review required",
  "limitations": "No current market observation or execution instruction."
}
```

## Check the service before integration

Check enabled capabilities in the authorized workspace before use. Public documentation does not activate a service. Simulation and testnet prototypes do not establish live trading availability.

## Protocol references

Venue documentation describes source protocols. It does not establish CatalystDesk deployment, integration endorsement or commercial availability.

- [Hyperliquid API: Info endpoint](https://hyperliquid.gitbook.io/hyperliquid-docs/for-developers/api/info-endpoint)
- [Hyperliquid API: WebSocket subscriptions](https://hyperliquid.gitbook.io/hyperliquid-docs/for-developers/api/websocket/subscriptions)

## Continue with the public documentation

- [Hyperliquid research and testnet workflows](https://catalystdesk.ai/en/integrations/hyperliquid)
- [Plan your first research workflow](https://catalystdesk.ai/en/developers/quickstart)
- [How to evaluate market context](https://catalystdesk.ai/en/methodology/market-context)
- [Product Credits and usage](https://catalystdesk.ai/en/pricing/api-credits)
- [From market observations to an agent review](https://catalystdesk.ai/en/research/hyperliquid-context-walkthrough)
- [Separate price differences from timing evidence](https://catalystdesk.ai/en/research/basis-and-source-clocks)
- [Budgets, receipts and independent execution approval](https://catalystdesk.ai/en/research/agent-budgets-and-approvals)
- [Understand Hyperliquid BTC and ETH with an AI agent](https://catalystdesk.ai/en/agents/hyperliquid-analysis)
- [Monitor crypto market changes with a bounded agent](https://catalystdesk.ai/en/agents/market-monitoring)
- [Simulate a BTC or ETH trade before taking risk](https://catalystdesk.ai/en/agents/trade-simulation)