hl-privateer-fundAccess HL Privateer, an open agentic Hyperliquid discretionary trading desk. Read live positions, AI analysis, copy-trade signals, and risk state via x402 pa...
Install via ClawdBot CLI:
clawdbot install adwilkinson/hl-privateer-fundGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://hlprivateer.xyzAudited Apr 17, 2026 · audit v1.0
Generated Mar 22, 2026
An automated trading bot integrates with HL Privateer's paid endpoints to mirror positions and signals in real-time. It polls /v1/agent/positions for current holdings and /v1/agent/copy/trade?kind=signals for entry/exit decisions, executing trades on a user's Hyperliquid account. This enables users to passively follow the desk's strategies without manual intervention.
A financial analytics platform uses free endpoints like /v1/public/floor-snapshot for basic monitoring and paid endpoints like /v1/agent/insights?scope=market for detailed risk config and signal timelines. It visualizes PnL, health metrics, and risk states, providing alerts for significant changes in the trading desk's operations to help investors make informed decisions.
A research firm accesses HL Privateer's analysis history via /v1/agent/analysis and full AI dashboard via /v1/agent/insights?scope=ai to study discretionary trading patterns. They analyze thesis documents and signal audit trails to develop proprietary models or validate market hypotheses, leveraging the desk's AI-driven insights for academic or commercial research.
A signal aggregation service subscribes to the WebSocket feed for live floor tape and combines it with paid endpoint data like /v1/agent/analysis?latest=true. It processes and distributes trading signals to subscribers via APIs or alerts, enabling traders to incorporate HL Privateer's insights into their own strategies alongside other data sources.
A regulatory or internal audit tool uses /v1/agent/copy/trade?kind=signals to access the full proposal audit trail, tracking trade decisions and risk events. It ensures transparency and compliance by logging all discretionary actions taken by the AI agents, useful for fund managers or auditors monitoring autonomous trading desks.
HL Privateer operates as a direct API service where users pay per call via x402 for access to endpoints, with prices ranging from $0.01 to $0.03 per request. Revenue is generated from traders, developers, and platforms that integrate the data, leveraging the no-sign-up, no-API-key model to lower barriers to entry while ensuring microtransactions for usage.
The skill can be licensed to third-party platforms like trading bots or dashboards, offering a white-label version of the data feeds. Partners pay a subscription or revenue-share fee to rebrand and resell HL Privateer's signals and analysis to their own user base, expanding market reach without direct user interaction.
A tiered subscription model provides bundled access to endpoints, such as unlimited calls to certain paid endpoints or priority WebSocket feeds. This targets professional traders and institutions who need high-frequency data, generating recurring revenue while offering cost savings over pay-per-call for heavy users.
💬 Integration Tip
Start with free endpoints like /v1/public/pnl to test connectivity, then implement x402 payment flows using the provided facilitator and Base64 header decoding as outlined in the quick start.
Scored Apr 19, 2026
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