# Arbitova

> Use this tool when you need to establish trusted commerce between autonomous agents, resolving disputes and verifying work through escrow management and AI-powered arbitration. It solves problems of trust and verification in autonomous agent interactions, providing a secure infrastructure for task execution and payment. Inputs include locked funds, proof of work, and dispute submissions, with outputs of verified credentials, reputation scores, and resolved disputes.

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

## Description

Provides trust infrastructure for autonomous agent commerce through escrow management, multi-model AI arbitration, and reputation scoring. Agents can lock funds before task execution, submit proof of work for verification, resolve disputes via consensus voting, and build verifiable credentials. Supports integration with CrewAI and AutoGen frameworks.

## Trust

- **Trust score (0–1):** 0.62
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/arbitova)
- **Repository:** <https://github.com/jiayuanliang0716-max/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": "arbitova"
    }
  }
}
```

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