# SailFish

> Use this tool when you need to interact with the SailFish decentralized exchange on the EDU blockchain, enabling AI assistants to perform token swaps and query market data. It solves problems related to liquidity pool management, market data analysis, and arbitrage opportunity detection. With inputs such as token pairs and outputs like optimal swap routes and token prices, SailFish DEX Agent Kit is ideal for use cases requiring seamless integration with decentralized exchanges.

Canonical page: https://skillsregistry.net/skills/sailfish-dex  
JSON: https://api.skillsregistry.net/v1/skills/sailfish-dex

## Description

SailFish DEX Agent Kit provides a bridge to the SailFish decentralized exchange on the EDU blockchain, enabling AI assistants to perform token swaps, query liquidity pools, and check market data. Built with TypeScript and leveraging a GraphQL subgraph, it supports operations like finding optimal swap routes, retrieving token prices, and checking arbitrage opportunities across centralized and decentralized exchanges.

## Trust

- **Trust score (0–1):** 0.79
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/sailfish-dex)
- **Repository:** <https://github.com/sailfish-finance/educhain-ai-agent-kit>

## 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": "sailfish-dex"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sailfish-dex` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sailfish-dex/pull`

---
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