# ChainAnalyzer

> Use this tool when you need to analyze blockchain transactions for anti-money-laundering risks, identify suspicious activity, and screen for sanctions. ChainAnalyzer provides address risk scoring, transaction tracing, and batch processing across multiple chains, accepting API key authentication and micropayments. It is ideal for use cases requiring robust blockchain analysis and compliance, such as fintech applications and cryptocurrency exchanges.

Canonical page: https://skillsregistry.net/skills/rascal-3-chainanalyzer  
JSON: https://api.skillsregistry.net/v1/skills/rascal-3-chainanalyzer

## Description

ChainAnalyzer exposes blockchain anti-money-laundering analysis as MCP tools, integrating with the chain-analyzer.com API. It provides address risk scoring with 76+ detection rules, sanctions screening, transaction tracing, and batch address processing across five chains. Supports API key authentication, x402 USDC micropayments, and a developer mode for testing.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/rascal-3-chainanalyzer)
- **Repository:** <https://github.com/rascal-3/chainanalyzer-mcp>

## 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": "rascal-3-chainanalyzer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rascal-3-chainanalyzer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rascal-3-chainanalyzer/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