# CoinAPI Exchange Rates - Historical

> Use this tool when you need to access historical exchange rate data for cryptocurrencies and traditional currencies to inform financial analysis, backtesting, and market research. It provides reliable and accurate data through a clean interface, solving problems related to data inconsistencies and limited market insights. Ideal for use cases requiring precise historical pricing data, such as portfolio optimization and risk assessment.

Canonical page: https://skillsregistry.net/skills/coinapi-historical-exchange-rates  
JSON: https://api.skillsregistry.net/v1/skills/coinapi-historical-exchange-rates

## Description

This server provides access to CoinAPI's comprehensive historical exchange rate data for cryptocurrencies and traditional currencies. Built by CoinAPI, it offers reliable access to historical pricing data that can be used for financial analysis, backtesting, and market research. The implementation focuses on delivering accurate historical exchange rate information through a clean interface.

## 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/coinapi-historical-exchange-rates)

## 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": "coinapi-historical-exchange-rates"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/coinapi-historical-exchange-rates` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/coinapi-historical-exchange-rates/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