# Revettr

> Use this tool when you need to assess counterparty risk for transactions on the Base blockchain via x402 protocol. Revettr analyzes domain intelligence, IP reputation, and other factors to score counterparties and provide risk tiers from low to critical. It enables AI agents to evaluate transaction risk and make informed decisions, supporting secure agentic commerce workflows.

Canonical page: https://skillsregistry.net/skills/gh-alexanderlawson17-revettr  
JSON: https://api.skillsregistry.net/v1/skills/gh-alexanderlawson17-revettr

## Description

Revettr provides counterparty risk assessment for AI agents transacting via x402 protocol on Base blockchain. The service scores counterparties by analyzing domain intelligence, IP reputation, on-chain wallet history, and sanctions lists. This MCP server enables AI assistants to evaluate transaction risk before sending money, supporting agentic commerce workflows with risk tiers from low to critical.

## Trust

- **Trust score (0–1):** 0.90
- **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/gh-alexanderlawson17-revettr)
- **Repository:** <https://github.com/alexanderlawson17/revettr-python>

## 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": "gh-alexanderlawson17-revettr"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gh-alexanderlawson17-revettr` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gh-alexanderlawson17-revettr/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