MIFID FIRDS

Parameter Description Default Options
isin
Optional
International Securities Identification Number
tradingVenue
Optional
Trading Venue
classificationType
Optional
Classification Type
index
Optional
Index
maturityDate
Optional
Maturity Date
currency
Optional
Currency USD AED , ARS , AUD , BRL , CAD , CHF , CLP , CNH , CNY , COP , CZK , DKK , EGP , EUR , GBP , GHS , HKD , HUF , IDR , ILS , INR , JPY , KRW , KZT , LBP , LKR , MXN , MYR , NGN , NOK , NZD , PEN , PHP , PKR , PLN , RUB , SAR , SEK , SGD , THB , TWD , USD , VEB , VNG , ZAR
import clarus

response = clarus.mifid.firds(isin='EZ1004CM2JX4')
print (response)
import com.clarusft.api.model.mifid.FIRDSRequest
import com.clarusft.api.model.mifid.FIRDSResponse

ApiClient clarus = ApiClient.getDefault();
FIRDSResponse response = clarus.request(new FIRDSRequest().withIsin("EZ1004CM2JX4"));
System.out.println(response);
import Clarus

response = Clarus.Mifid.firds(isin="EZ1004CM2JX4")
print(response)

##
##Need to install packages once, if not already installed
##install.packages('httr')
##install.packages('readr')
##

library('httr')
##library('readr')

## Manually edit and set key/secret here ##
apiKey <- '...'
apiSecret <-'...'

request <- function(category, functionName, ...){
  restUrl  =  paste0('https://apieval.clarusft.com/api/rest/v1/', category, '/',functionName, '.csv')
  response <- POST(url=restUrl, body=list(...), encode='json', authenticate(apiKey, apiSecret, type='basic'))
  if (response$status_code!=200){
      stop(paste0('Request to ', category, '/', functionName, ' failed with status code: ', response$status_code))
  }
  return (response)
}

dataframe <- function(response){
  return (read.csv(text=content(response, 'text'), sep=',', head=TRUE))
}
## filename <- file.path('C:', 'Temp', 'myfile.csv')
## myvalue <- <- read_file(filename)

r <- request('mifid', 'FIRDS', isin='EZ1004CM2JX4')
df <- dataframe(r)
print (df)

import requests
import sys
import pandas
import io
#import os

# Example of REST API call to Clarus Microservices #

# Manually edit and set key/secret here #
apiKey = ''
apiSecret = ''

print (sys.version)

def request(category, functionName, **params):
  restUrl = 'https://apieval.clarusft.com/api/rest/v1/' + category + '/' + functionName + '.json'
  r = requests.post(restUrl, json=params, auth=(apiKey, apiSecret))
  r.raise_for_status()
  return r.json()

def dataframe(results):
  return pandas.DataFrame(results['results'])

# filename = os.path.join('C:\\', 'Temp', 'myfile.csv')
# myvalue = open(filename).read()

r = request('mifid', 'FIRDS', isin='EZ1004CM2JX4')
df = dataframe(r)
print(pandas.DataFrame.head(df))


use strict;
use warnings;
use MIME::Base64;
use JSON;
use REST::Client;

# Example of REST API call to Clarus Microservices #

my $client = REST::Client->new();
$client->addHeader('Content-Type', 'application/json');

# Manually edit and set key/secret here 
my $apiKey = '';
my $apiSecret = '';

my $encoded_auth = encode_base64("$apiKey:$apiSecret", '');
$client->addHeader('Authorization', "Basic $encoded_auth");

my %params = ('isin' => 'EZ1004CM2JX4');

my $urlBase = 'https://apieval.clarusft.com/api/rest/v1/';
my $category = 'mifid/';
my $name = 'FIRDS';
my $outputFormat = '.csv'; #can also be '.json' or '.tsv'
my $fullRESTUrl  =  $urlBase . $category . $name . $outputFormat;

$client->POST($fullRESTUrl,encode_json(\%params));

print 'Response: ' . $client->responseContent() . "\n";
print 'Response status: ' . $client->responseCode() . "\n";


printf('Example of REST API call to Clarus Microservices\n');

function r = request(category, functionName, params)

# Manually edit and set key/secret here #
  apiKey = ''
  apiSecret = ''

  restUrl = ['https://' apiKey ":" apiSecret  "@" 'apieval.clarusft.com/api/rest/v1/' category '/' functionName '.csv'];
  [r, status, message] = urlread (restUrl, 'get', params);
  if (status!=1)
      error(['Failed on ' category '/' functionName ': ' message]);
  endif
end

function ca = toCellArray(csvStr)
  header_row = textscan (csvStr, "%s", 1, 'delimiter','\n');
  headers = strsplit(char(header_row), ",");
  numCols = size(headers)(2);
  format = repmat('%s ', [1 numCols]);
  ca = textscan (csvStr, format, 'delimiter',',', 'endofline',"\n");
end

params = {'isin', 'EZ1004CM2JX4'}

r = request('mifid', 'FIRDS', params)
ca = toCellArray(r);

ca

Request Body

Submit to generate...
Response

Submit to generate...

{
  "isin" : "EZ1004CM2JX4"
}