curl --request POST \
  --url https://parea-ai-backend-us-9ac16cdbc7a7b006.onporter.run/api/parea/v1/api/parea/v1/experiment/{experiment_uuid}/finished \
  --header 'Content-Type: application/json' \
  --header 'x-user-id: <api-key>' \
  --data '
{
  "dataset_level_stats": [
    {
      "name": "pearson_correlation",
      "score": 0.8
    }
  ],
  "status": "completed"
}
'

import requests

url = "https://parea-ai-backend-us-9ac16cdbc7a7b006.onporter.run/api/parea/v1/api/parea/v1/experiment/{experiment_uuid}/finished"

payload = {
    "dataset_level_stats": [
        {
            "name": "pearson_correlation",
            "score": 0.8
        }
    ],
    "status": "completed"
}
headers = {
    "x-user-id": "<api-key>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {'x-user-id': '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    dataset_level_stats: [{name: 'pearson_correlation', score: 0.8}],
    status: 'completed'
  })
};

fetch('https://parea-ai-backend-us-9ac16cdbc7a7b006.onporter.run/api/parea/v1/api/parea/v1/experiment/{experiment_uuid}/finished', 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://parea-ai-backend-us-9ac16cdbc7a7b006.onporter.run/api/parea/v1/api/parea/v1/experiment/{experiment_uuid}/finished",
  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([
    'dataset_level_stats' => [
        [
                'name' => 'pearson_correlation',
                'score' => 0.8
        ]
    ],
    'status' => 'completed'
  ]),
  CURLOPT_HTTPHEADER => [
    "Content-Type: application/json",
    "x-user-id: <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://parea-ai-backend-us-9ac16cdbc7a7b006.onporter.run/api/parea/v1/api/parea/v1/experiment/{experiment_uuid}/finished"

	payload := strings.NewReader("{\n  \"dataset_level_stats\": [\n    {\n      \"name\": \"pearson_correlation\",\n      \"score\": 0.8\n    }\n  ],\n  \"status\": \"completed\"\n}")

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

	req.Header.Add("x-user-id", "<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://parea-ai-backend-us-9ac16cdbc7a7b006.onporter.run/api/parea/v1/api/parea/v1/experiment/{experiment_uuid}/finished")
  .header("x-user-id", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"dataset_level_stats\": [\n    {\n      \"name\": \"pearson_correlation\",\n      \"score\": 0.8\n    }\n  ],\n  \"status\": \"completed\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://parea-ai-backend-us-9ac16cdbc7a7b006.onporter.run/api/parea/v1/api/parea/v1/experiment/{experiment_uuid}/finished")

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

request = Net::HTTP::Post.new(url)
request["x-user-id"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"dataset_level_stats\": [\n    {\n      \"name\": \"pearson_correlation\",\n      \"score\": 0.8\n    }\n  ],\n  \"status\": \"completed\"\n}"

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

{
  "parent_trace_stats": [
    {
      "trace_id": "<string>",
      "latency": 0,
      "input_tokens": 0,
      "output_tokens": 0,
      "total_tokens": 0,
      "cost": 123,
      "scores": [
        {
          "name": "<string>",
          "score": 123,
          "evaluation_metric_id": 123,
          "reason": "<string>"
        }
      ]
    }
  ]
}

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