# Hyperliquid Whale Position Tracker API

> Use this tool when you need to track top trader positions in Hyperliquid, providing insights into market sentiment and strategy. It solves problems related to market research, trading strategy, and risk management by offering real-time data on long/short positions, size, profit/loss, leverage, and sentiment. The API takes market data as input and outputs detailed position information, making it ideal for traders and analysts seeking to inform their investment decisions.

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

## Description

Top Hyperliquid trader positions — long/short, size, PnL, leverage, sentiment. x402.

## Trust

- **Trust score (0–1):** 0.89
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.Br0ski777%2Fhyperliquid-whales)
- **Repository:** <https://github.com/Br0ski777/hyperliquid-whales-x402>

## Use it

MCP endpoint published by the skill: `https://hyperliquid-whales.api.klymax402.com/mcp`

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": "io-github-br0ski777-hyperliquid-whales"
    }
  }
}
```

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