# MaximumSats

> Use this tool when you need to leverage AI-powered Bitcoin and Lightning Network analysis, or perform Nostr Web of Trust evaluations without requiring accounts or subscriptions. It solves problems related to Bitcoin knowledge queries, image generation, trust scoring, and network analysis, providing outputs such as results and scores in exchange for pay-per-use Lightning L402 payments. Invoke MaximumSats to access a range of tools and capabilities, from Sybil detection to influence simulation, with flexible and secure payment options.

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

## Description

Provides Bitcoin and Lightning Network AI tools alongside Nostr Web of Trust analysis, all accessible via pay-per-use Lightning L402 payments. Includes Bitcoin knowledge queries, image generation, trust scoring, Sybil detection, network analysis, and influence simulation. No accounts or subscriptions required -- invoke a tool, pay the Lightning invoice, and get results.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

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

## 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": "maximumsats"
    }
  }
}
```

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