# cite-finance

> Use this tool when you need to retrieve accurate and reliable financial data with verifiable sources. It solves problems of data hallucination and unreliability in AI applications by providing machine-readable citations from trusted sources like SEC EDGAR and FRED. It takes queries as input and returns verified financial data as output, making it ideal for use cases requiring trustworthy financial information.

Canonical page: https://skillsregistry.net/skills/spectating101-cite-finance  
JSON: https://api.skillsregistry.net/v1/skills/spectating101-cite-finance

## Description

Returns verified financial data (SEC EDGAR & FRED) with machine-readable citations. Guaranteed zero hallucinations for AI agents.

## Trust

- **Trust score (0–1):** 0.02
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/nntfqtu0k1)
- **Repository:** <https://github.com/Spectating101/cite-finance-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": "spectating101-cite-finance"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/spectating101-cite-finance` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/spectating101-cite-finance/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