# Hyperliquid Whale Position Tracker

> Hyperliquid Whale Position Tracker — br0ski777-hyperliquid-whales-x402. Use this tool when you need to monitor and analyze the positions of top traders in the Hyperliquid market. It provides real-time data on profit/loss, direction, size, leverage, entry price, and unrealized profit/loss for the top 50 traders, solving problems related to market research and trading strategy development. The tool accepts x402 micropayments in USDC on Base L2 and returns detailed position data, making it ideal for use cases requiring timely and actionable market insights.

Canonical page: https://skillsregistry.net/skills/br0ski777-hyperliquid-whales-x402  
JSON: https://api.skillsregistry.net/v1/skills/br0ski777-hyperliquid-whales-x402

## Description

Track top 50 Hyperliquid trader positions by PnL, direction, size, leverage, entry price, and unrealized PnL. Pay-per-call via x402 micropayments (USDC on Base L2) — no API key or signup required.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/sg8yevjr6k)
- **Repository:** <https://github.com/Br0ski777/hyperliquid-whales-x402>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "br0ski777-hyperliquid-whales-x402"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/br0ski777-hyperliquid-whales-x402` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/br0ski777-hyperliquid-whales-x402/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
