CoinMetrics JSON REST API (free as well as paid) with access to market data. Also CSV data file download available.

04.03.2024
CoinMetrics JSON REST API (free as well as paid) with access to market data. Also CSV data file download available.

CoinMetrics.io is a cryptocurrency data platform that provides a wide range of market data and analysis tools. One of the key features of the platform is its JSON REST API, which allows developers to access market data in real-time.

The CoinMetrics.io JSON REST API provides both free and paid access to market data. The free version of the API includes basic market data, such as price and volume, for a limited number of cryptocurrencies. The paid version of the API includes more advanced data, such as order book data and historical price data, for a wider range of cryptocurrencies.

One of the benefits of using the CoinMetrics.io JSON REST API is that it provides real-time market data, allowing developers to build applications that can respond to market changes in real-time. This can be particularly useful for traders and investors who need to stay up-to-date with market movements.

In addition to the JSON REST API, CoinMetrics.io also provides CSV data file downloads. These files contain historical market data for a wide range of cryptocurrencies, and can be used for analysis and research purposes.

Overall, the CoinMetrics.io JSON REST API and CSV data file downloads are valuable tools for developers, traders, and investors who need access to real-time and historical market data. Whether you are building a trading application, conducting research, or simply staying up-to-date with market movements, CoinMetrics.io has the data and tools you need to succeed.

CoinMetrics.io is a platform that provides cryptocurrency market data to investors, traders, and researchers. It offers both free and paid access to its JSON REST API, which allows users to retrieve market data for various cryptocurrencies and exchanges.

The free version of the API provides access to historical market data for Bitcoin, Ethereum, and Litecoin, as well as data for the top 100 cryptocurrencies by market capitalization. The paid version, on the other hand, offers real-time market data for over 8,000 cryptocurrencies across more than 80 exchanges.

The API allows users to retrieve data on various aspects of the cryptocurrency market, including prices, trading volumes, market capitalizations, and exchange rates. It also provides data on market trends, such as the performance of various cryptocurrencies over time.

In addition to the JSON REST API, CoinMetrics.io also offers CSV data file downloads for users who prefer to work with data in a spreadsheet format. These files contain the same data as the API, and can be downloaded for free or purchased as part of a subscription.

Overall, CoinMetrics.io is a valuable resource for anyone who needs access to cryptocurrency market data. Its JSON REST API and CSV data file downloads make it easy to retrieve and analyze data on various aspects of the market, and its free and paid options make it accessible to a wide range of users.

the coinmetrics json rest api provides real-time and historical cryptocurrency data, including market prices, trading volumes, and other metrics. the api is designed to be easy to use and integrate into existing applications or websites. it supports a wide range of programming languages, including python, javascript, and php.

the platform also offers csv data file downloads, which can be used to analyze data offline. this feature is particularly useful for researchers and analysts who want to perform their own analysis on the data.

the free plan provides access to limited data, while the paid plans offer more comprehensive access to data. the platform’s pricing is based on the number of api calls made per month, with different plans available for different usage levels.

in conclusion, coinmetrics is a powerful tool for developers, researchers, and analysts who need access to cryptocurrency market data. its json rest api and csv data file download features make it easy to integrate into existing applications and perform offline analysis. with both free and paid plans available, it’s a flexible solution for a wide range of use cases.

Python code that demonstrates how to use the CoinMetrics.io JSON REST API:

import requests
import json

# Set the API endpoint URL and query parameters
url = 'https://pro.coinmetrics.io/api/v1/exchange/aggregated/trades/BTC-USD'
params = {
    'from': '2021-01-01',
    'to': '2021-12-31',
    'symbols': 'BTC-USD',
    'limit': 1000
}

# Send a GET request to the API endpoint with the query parameters
response = requests.get(url, params=params)

# Check if the API request was successful
if response.status_code == 200:
    # Extract the data from the API response
    data = response.json()['data']

    # Print the data
    print(json.dumps(data, indent=4))
else:
    # Print an error message
    print('API request failed with status code:', response.status_code)

This code sends a GET request to the CoinMetrics.io API endpoint for aggregated trades of BTC-USD for the year 2021, with a limit of 1000 results. The API response is then parsed as JSON and printed to the console. Note that you will need to sign up for a CoinMetrics.io account and obtain an API key in order to use the API.

Python code for using the CoinMetrics.io JSON REST API:

import requests
import pandas as pd

api_key = "YOUR_API_KEY"
url = "https://pro.coinmetrics.io/api/v1/bitcoin/historical/csv/aggregated"
params = {
    "start_date": "2017-01-01",
    "end_date": "2021-12-31",
    "metrics": "price,mcap,supply",
    "time_interval": "daily",
    "sort_by": "date",
    "api_key": api_key
}

response = requests.get(url, params=params)
data = response.json()

df = pd.DataFrame(data["rows"], columns=data["columns"])
df.to_csv("bitcoin_data.csv", index=False)

In this code, we are using the requests library to make a GET request to the CoinMetrics.io API endpoint for historical Bitcoin data. We are specifying the start and end dates, the metrics we want to retrieve (price, market cap, and supply), the time interval (daily), and the API key.

We are then parsing the JSON response and converting it to a pandas DataFrame, which we can save to a CSV file using the to_csv() method.

Note that you will need to replace “YOUR_API_KEY” with your own API key, which you can obtain by signing up for a free or paid account on the CoinMetrics.io website.

python code for accessing the coinmetrics.io json rest api. here is a sample code that you can use as a starting point:

import requests
import pandas as pd

# define the endpoint url and parameters
url = 'https://api.coinmetrics.io/v1/markets/{}/{}/{}/{}'
params = {'start': '2020-01-01', 'end': '2022-01-01', 'agg': 'd'}

# define the headers
headers = {'authorization': 'your_api_key_here'}

# define the function for making api requests
def get_coinmetrics_data(currency, quote_currency, interval):
    url = url.format(currency, quote_currency, interval, 'price')
    response = requests.get(url, headers=headers)
    return response.json()

# make api requests and store data in a dataframe
df = pd.dataframe()
for currency in ['btc', 'eth']:
    for quote_currency in ['usd', 'eur']:
        for interval in ['1d', '1w', '1m']:
            data = get_coinmetrics_data(currency, quote_currency, interval)
            df = pd.concat([df, pd.dataframe(data['prices'], columns=['date', 'price'])], ignore_index=true)

# print the dataframe
print(df)

this code defines a function get_coinmetrics_data() that takes three parameters: currencyquote_currency, and interval. it constructs the api endpoint url using these parameters, and sends a get request to the api using the requests library. the response is then converted into a json object using response.json().

the code then loops over all possible combinations of currencyquote_currency, and interval, and calls the get_coinmetrics_data() function for each combination. the data is stored in a pandas dataframe, which is concatenated with the previous dataframes for each iteration.

finally, the resulting dataframe is printed to the console.

python code for the article “coinmetrics.io json rest api” that you mentioned. here’s an example code that demonstrates how to use the coinmetrics api to retrieve bitcoin price data:

import requests
import json

# define api endpoint and parameters
api_url = "https://pro-api.coinmetrics.io/v1/cryptocurrency/metrics"
params = {
    "symbol": "btc",
    "currency": "usd",
    "function": "price",
    "start_date": "2021-01-01",
    "end_date": "2021-12-31"
}

# send api request and retrieve data
response = requests.get(api_url, params=params)
data = json.loads(response.text)

# process data and print results
for metric in data["metrics"]:
    print(metric["date"], metric["value"])

in this code, we first define the api endpoint and parameters for retrieving bitcoin price data. we then send an api request to the coinmetrics server using the requests library and parse the response data using the json library. finally, we loop through the data and print out the date and price values for each day in the specified date range.

note that this is just a basic example and there are many other metrics and parameters available in the coinmetrics api. you can refer to the api documentation for more information on how to use the api and customize your requests.

python code for accessing the coinmetrics.io json rest api. here is an example code snippet:

import requests

# set the api endpoint and headers
endpoint = 'https://pro.coinmetrics.io/api/v1'
headers = {
    'content-type': 'application/json',
    'x-api-key': 'your_api_key_here'
}

# set the api endpoint and headers
endpoint = 'https://pro.coinmetrics.io/api/v1'
headers = {
    'content-type': 'application/json',
    'x-api-key': 'your_api_key_here'
}

# make a get request to the api
response = requests.get(endpoint, headers=headers)

# parse the json response
data = response.json()

# access the data you need
price = data['price']
volume = data['volume']

# do something with the data
print('current price:', price)
print('24h volume:', volume)

in this example, we first set the api endpoint and headers, including our api key. we then make a get request to the api, passing in the endpoint and headers.

next, we parse the json response and access the data we need. in this case, we’re accessing the current price and 24h volume of a cryptocurrency.

finally, we do something with the data, such as printing it to the console.

note that you will need to replace ‘your_api_key_here’ with your actual api key, which you can obtain by signing up for a coinmetrics account.

python code to use the coinmetrics json rest api. here’s a sample code to retrieve bitcoin price data using the api:

import requests

# replace 'your-api-key' with your actual api key
api_key = 'your-api-key'

# set the url for the api endpoint
url = 'https://pro.coinmetrics.io/api/v1/exchange/bitfinex/btc-usd/ohlcv/daily'

# set the headers for the api request
headers = {
    'x-api-key': api_key,
    'content-type': 'application/json'
}

# send a get request to the api endpoint
response = requests.get(url, headers=headers)

# check if the api request was successful
if response.status_code == 200:
    # parse the json response
    data = response.json()

    # extract the bitcoin price data from the response
    price = data['prices']
    date = data['dates']

    # print the bitcoin price data
    print('bitcoin price data:')
    for i in range(len(price)):
        print('{}: {}'.format(date[i], price[i]))
else:
    print('error: api request failed with status code {}'.format(response.status_code))

this code sends a get request to the coinmetrics api endpoint to retrieve bitcoin price data for the bitfinex exchange. the data is returned as a json object, which is then parsed and the bitcoin price data is extracted and printed to the console.

note that you will need to replace ‘your-api-key’ with your actual api key obtained from coinmetrics.io. you can also modify the code to retrieve different types of data or for different exchanges.