# io.github.LembaGang/headless-oracle

> Use this tool when you need to verify market open and close times for major stock exchanges, such as NYSE, NASDAQ, and LSE, with Ed25519-signed receipts providing a secure and reliable source of market data, accepting exchange identifiers as input and producing digitally signed receipts as output. It solves problems related to market data validation and automation, particularly in financial applications requiring trusted and verifiable exchange data. This tool is ideal for use cases involving algorithmic trading, market monitoring, and regulatory compliance.

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

## Description

Cryptographically signed market state verification for autonomous financial agents.

## Trust

- **Trust score (0–1):** 0.79
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.LembaGang%2Fheadless-oracle)
- **Repository:** <https://github.com/LembaGang/headless-oracle-v5>

## Use it

MCP endpoint published by the skill: `https://api.headlessoracle.com/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-lembagang-headless-oracle"
    }
  }
}
```

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