# FinFeedAPI FX Historical

> Use this tool when you need to access historical cryptocurrency and financial market data for analysis and research. It solves problems related to backtesting trading strategies, market analysis, and financial research by providing comprehensive market data coverage across hundreds of exchanges and thousands of trading pairs. The FinFeedAPI FX Historical tool takes query inputs and returns historical price data, trading volumes, and other market metrics as output.

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

## Description

This MCP server provides access to CoinAPI's historical cryptocurrency and financial market data. CoinAPI offers comprehensive market data coverage across hundreds of exchanges and thousands of trading pairs. The server enables retrieval of historical price data, trading volumes, and other market metrics for cryptocurrency analysis and research purposes. It's particularly useful for backtesting trading strategies, market analysis, and financial research applications.

## 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-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-data"
    }
  }
}
```

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