# Coin Railz

> Use this tool when you need to access blockchain data, trading intelligence, and crypto analytics to inform your investment decisions. Coin Railz provides a range of tools and services, including trading signals, DEX analytics, and market sentiment analysis, with support for multiple blockchains and autonomous AI agent payments. It is ideal for use cases requiring real-time data and insights, such as cryptocurrency trading, market research, and investment strategy development.

Canonical page: https://skillsregistry.net/skills/coinrailz  
JSON: https://api.skillsregistry.net/v1/skills/coinrailz

## Description

Coin Railz provides access to blockchain data, trading intelligence, prediction markets, and crypto analytics through x402 micropayment infrastructure. The server offers tools across trading signals, DEX analytics, traditional market sentiment, real estate data, and banking services. Built on the x402 protocol for autonomous AI agent payments using USDC on Base chain, with support for multiple blockchains including Ethereum, Polygon, and Arbitrum.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **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/coinrailz)
- **Repository:** <https://github.com/tdnupe3/mcp-server-coinrailz>

## 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": "coinrailz"
    }
  }
}
```

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