# com.cleartracedata/cleartrace

> com.cleartracedata/cleartrace — com-cleartracedata-cleartrace. Use this tool when you need to measure the performance of on-chain executions, such as assessing slippage, revert rates, and MEV (Maximal Extractable Value) to optimize decentralized exchange (DEX) transactions. It provides neutral benchmarking and attribution insights for DEX frontends, helping to identify areas for improvement. Ideal for use cases requiring data-driven decision making in DeFi and cryptocurrency trading.

Canonical page: https://skillsregistry.net/skills/com-cleartracedata-cleartrace  
JSON: https://api.skillsregistry.net/v1/skills/com-cleartracedata-cleartrace

## Description

Neutral on-chain execution benchmarking: slippage, revert rates, MEV, and DEX frontend attribution.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Updated:** 2026-09-01

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.cleartracedata%2Fcleartrace)

## Use it

MCP endpoint published by the skill: `https://cleartracedata.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": "com-cleartracedata-cleartrace"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/com-cleartracedata-cleartrace` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/com-cleartracedata-cleartrace/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