# keryx

> keryx — tang-vu-keryx. Use this tool when you need to reward content creators for their work and ensure accurate citations, as keryx enables automatic research and micropayments via the x402 protocol. It solves the problem of fair compensation for creators and provides grounded answers, with on-chain settlement for transparency. Ideal for use cases requiring verified information and secure payment processing.

Canonical page: https://skillsregistry.net/skills/tang-vu-keryx  
JSON: https://api.skillsregistry.net/v1/skills/tang-vu-keryx

## Description

Enables AI agents to pay creators for each citation via the x402 micropayment protocol, with automatic research, grounded answers, and on-chain settlement.

## Trust

- **Trust score (0–1):** 0.51
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jns3fvhsl6)
- **Repository:** <https://github.com/tang-vu/keryx>

## 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": "tang-vu-keryx"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tang-vu-keryx` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tang-vu-keryx/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