curl --request POST \
  --url https://api.fincept.in/quantlib/ml/regression/lgd \
  --header 'Content-Type: application/json' \
  --header 'X-API-Key: <api-key>' \
  --data '
{
  "X": [
    [
      80000,
      1,
      5000
    ],
    [
      120000,
      0,
      3000
    ],
    [
      50000,
      1,
      7000
    ]
  ],
  "y": [
    0.25,
    0.65,
    0.18
  ],
  "predict_X": [
    [
      95000,
      1,
      4500
    ]
  ]
}
'

import requests

url = "https://api.fincept.in/quantlib/ml/regression/lgd"

payload = {
    "X": [[80000, 1, 5000], [120000, 0, 3000], [50000, 1, 7000]],
    "y": [0.25, 0.65, 0.18],
    "predict_X": [[95000, 1, 4500]]
}
headers = {
    "X-API-Key": "<api-key>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {'X-API-Key': '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    X: [[80000, 1, 5000], [120000, 0, 3000], [50000, 1, 7000]],
    y: [0.25, 0.65, 0.18],
    predict_X: [[95000, 1, 4500]]
  })
};

fetch('https://api.fincept.in/quantlib/ml/regression/lgd', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.fincept.in/quantlib/ml/regression/lgd",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'X' => [
        [
                80000,
                1,
                5000
        ],
        [
                120000,
                0,
                3000
        ],
        [
                50000,
                1,
                7000
        ]
    ],
    'y' => [
        0.25,
        0.65,
        0.18
    ],
    'predict_X' => [
        [
                95000,
                1,
                4500
        ]
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "Content-Type: application/json",
    "X-API-Key: <api-key>"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://api.fincept.in/quantlib/ml/regression/lgd"

	payload := strings.NewReader("{\n  \"X\": [\n    [\n      80000,\n      1,\n      5000\n    ],\n    [\n      120000,\n      0,\n      3000\n    ],\n    [\n      50000,\n      1,\n      7000\n    ]\n  ],\n  \"y\": [\n    0.25,\n    0.65,\n    0.18\n  ],\n  \"predict_X\": [\n    [\n      95000,\n      1,\n      4500\n    ]\n  ]\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("X-API-Key", "<api-key>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://api.fincept.in/quantlib/ml/regression/lgd")
  .header("X-API-Key", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"X\": [\n    [\n      80000,\n      1,\n      5000\n    ],\n    [\n      120000,\n      0,\n      3000\n    ],\n    [\n      50000,\n      1,\n      7000\n    ]\n  ],\n  \"y\": [\n    0.25,\n    0.65,\n    0.18\n  ],\n  \"predict_X\": [\n    [\n      95000,\n      1,\n      4500\n    ]\n  ]\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.fincept.in/quantlib/ml/regression/lgd")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["X-API-Key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"X\": [\n    [\n      80000,\n      1,\n      5000\n    ],\n    [\n      120000,\n      0,\n      3000\n    ],\n    [\n      50000,\n      1,\n      7000\n    ]\n  ],\n  \"y\": [\n    0.25,\n    0.65,\n    0.18\n  ],\n  \"predict_X\": [\n    [\n      95000,\n      1,\n      4500\n    ]\n  ]\n}"

response = http.request(request)
puts response.read_body

{
  "success": true,
  "data": {
    "predictions": [
      0.22
    ]
  }
}

{
  "detail": "Invalid API key"
}

{
  "detail": "Insufficient credits. This endpoint requires 5 credits."
}

{
  "detail": [
    {
      "loc": [
        "<string>"
      ],
      "msg": "<string>",
      "type": "<string>"
    }
  ]
}