# WattCoin

> Use this tool when you need to automate task management and payment processing for AI agents, solving problems such as skill discovery, task allocation, and secure payment processing. WattCoin provides an interface for browsing available work, claiming tasks, and submitting results, with outputs including automatic USDC-equivalent WATT token payments. It is ideal for use cases involving LLM inference, web scraping, and GitHub issue resolution, where users can earn fees by staking WATT tokens.

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

## Description

WattCoin provides an MCP server for interacting with the WattCoin agent task marketplace on Solana. AI agents can browse the skills marketplace, discover available work, claim tasks, submit results, and receive automatic USDC-equivalent WATT token payments. The platform also supports LLM inference, web scraping, bounties for GitHub issue resolution, and a node network where users earn 70% of job fees by staking WATT tokens.

## Trust

- **Trust score (0–1):** 0.43
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/wattcoin)
- **Repository:** <https://github.com/wattcoin-org/wattcoin>

## 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": "wattcoin"
    }
  }
}
```

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

---
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