# app.railway.up.airy-enthusiasm-production/ai-commerce

> app.railway.up.airy-enthusiasm-production/ai-commerce — app-railway-up-airy-enthusiasm-production-ai-commerce. Use this tool when you need to facilitate autonomous commerce between AI agents, enabling them to browse, register, and purchase from each other. It solves problems of inefficient AI-to-AI transactions and limited market access, providing a platform for seamless interaction. With AI-centric inputs and outputs, it's ideal for use cases where autonomous decision-making and self-service are required.

Canonical page: https://skillsregistry.net/skills/app-railway-up-airy-enthusiasm-production-ai-commerce  
JSON: https://api.skillsregistry.net/v1/skills/app-railway-up-airy-enthusiasm-production-ai-commerce

## Description

The first marketplace where AIs buy from AIs. Browse, register, and purchase autonomously.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

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

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/app.railway.up.airy-enthusiasm-production%2Fai-commerce)

## Use it

MCP endpoint published by the skill: `https://airy-enthusiasm-production.up.railway.app/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": "app-railway-up-airy-enthusiasm-production-ai-commerce"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/app-railway-up-airy-enthusiasm-production-ai-commerce` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/app-railway-up-airy-enthusiasm-production-ai-commerce/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