# FinFeedAPI Stock API

> Use this tool when you need to access comprehensive historical stock market data, such as price information and trading volumes, to inform investment decisions or analyze market trends. It solves problems related to financial data retrieval, providing reliable and accurate historical data for stocks and financial instruments. The FinFeedAPI Stock API takes query parameters as input and returns historical market data as output, making it ideal for use cases requiring detailed financial analysis and insight.

Canonical page: https://skillsregistry.net/skills/finfeed-historical-stock-data  
JSON: https://api.skillsregistry.net/v1/skills/finfeed-historical-stock-data

## Description

This server integrates with CoinAPI's financial data service to provide historical stock market information. Created by CoinAPI, it offers access to comprehensive historical stock data through their established financial data infrastructure. The server enables retrieval of historical price data, trading volumes, and other market metrics for stocks and financial instruments.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/finfeed-historical-stock-data)

## 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": "finfeed-historical-stock-data"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/finfeed-historical-stock-data` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/finfeed-historical-stock-data/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