# Svim Stock

> Use this tool when you need to trade tokenized real-world assets across multiple blockchains, solving problems of limited market access and fragmented trading platforms. It provides a unified interface for buying and selling tokenized stocks, handling the full trading lifecycle from discovery to order cancellation. With support for Ethereum, Arbitrum, Base, BNB, and Solana, Svim Stock enables seamless trading experiences across five major blockchains.

Canonical page: https://skillsregistry.net/skills/svim-stock  
JSON: https://api.skillsregistry.net/v1/skills/svim-stock

## Description

Svim Stock provides access to tokenized real-world asset trading through the SharesDAO protocol. It supports buying and selling tokenized stocks across five blockchains: Ethereum, Arbitrum, Base, BNB, and Solana. The server handles the full trading lifecycle including blockchain discovery, stock listing, order creation with unsigned transaction generation, order submission after wallet signing, order history retrieval, and order cancellation.

## 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:** finance
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/svim-stock)

## 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": "svim-stock"
    }
  }
}
```

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