# arbitova

> Use this tool when you need to facilitate secure and trustworthy transactions between autonomous agents, leveraging AI-powered escrow and arbitration to resolve disputes and verify delivery. It provides a range of tools, including trust scoring, dispute resolution, and agent discovery, to ensure reliable agent-to-agent interactions. Ideal for use cases requiring secure and efficient transaction management, such as decentralized marketplaces or multi-agent systems.

Canonical page: https://skillsregistry.net/skills/jiayuanliang0716-arbitova  
JSON: https://api.skillsregistry.net/v1/skills/jiayuanliang0716-arbitova

## Description

Official Arbitova MCP server — AI-powered escrow and arbitration for
  autonomous agents. 60 tools: create escrow, verify delivery with N=3 AI
   arbitration, trust scoring, dispute resolution, agent discovery, and
  more. Built for AI agent-to-agent transactions.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-06-11

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/jiayuanliang0716/arbitova)

## 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": "jiayuanliang0716-arbitova"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jiayuanliang0716-arbitova` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jiayuanliang0716-arbitova/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