# DeFi Liquidation Oracle API

> Use this tool when you need to assess real-time liquidation risk in DeFi markets, providing critical insights to inform investment decisions and mitigate potential losses. It solves problems related to portfolio management, risk assessment, and market monitoring by delivering accurate and up-to-date liquidation risk levels for various DeFi protocols and assets. The API accepts protocol and asset inputs and returns real-time risk level outputs, making it ideal for use cases requiring instant and reliable market data.

Canonical page: https://skillsregistry.net/skills/io-github-br0ski777-liquidation-oracle  
JSON: https://api.skillsregistry.net/v1/skills/io-github-br0ski777-liquidation-oracle

## Description

Real-time DeFi liquidation risk levels by protocol and asset. DeFiLlama-powered. x402.

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** verified
- **Last scanned:** 2026-08-23

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-23

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.Br0ski777%2Fliquidation-oracle)
- **Repository:** <https://github.com/Br0ski777/liquidation-oracle-x402>

## Use it

MCP endpoint published by the skill: `https://liquidation-oracle-x402-production.up.railway.app/mcp`

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": "io-github-br0ski777-liquidation-oracle"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-br0ski777-liquidation-oracle` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-br0ski777-liquidation-oracle/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