# lion-x402

> Use this tool when you need to access keyless MCP enrichment and real-world CPG/retail price intelligence for informed decision-making. It solves problems related to market research, pricing strategy, and compliance by providing company firmographics, SEC financials, and OFAC/VAT compliance data. With pay-per-call functionality and Ed25519-attested responses, it offers a secure and reliable interface for AI agents to retrieve verified data without requiring an API key or subscription.

Canonical page: https://skillsregistry.net/skills/lionmaster-operations-lion-x402  
JSON: https://api.skillsregistry.net/v1/skills/lionmaster-operations-lion-x402

## Description

Keyless MCP enrichment + real-world CPG/retail price intel for AI agents. Pay-per-call in USDC on Base (x402) — no API key, no account, no subscription. Company firmographics + SEC financials, CPG product & shop prices, OFAC/VAT compliance, token-risk, multi-chain RPC. Every response Ed25519-attested so agents can verify it offline. Free to try: lion_declare_need, lion_quick_intel.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/lionmaster-operations/lion-x402)

## 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": "lionmaster-operations-lion-x402"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lionmaster-operations-lion-x402` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lionmaster-operations-lion-x402/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
