curl --request GET \
  --url https://api.erdo.ai/v1/experiments/{experimentSlug} \
  --header 'Authorization: Bearer <token>'

import requests

url = "https://api.erdo.ai/v1/experiments/{experimentSlug}"

headers = {"Authorization": "Bearer <token>"}

response = requests.get(url, headers=headers)

print(response.text)

const options = {method: 'GET', headers: {Authorization: 'Bearer <token>'}};

fetch('https://api.erdo.ai/v1/experiments/{experimentSlug}', 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.erdo.ai/v1/experiments/{experimentSlug}",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "GET",
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>"
  ],
]);

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

curl_close($curl);

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

package main

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

func main() {

	url := "https://api.erdo.ai/v1/experiments/{experimentSlug}"

	req, _ := http.NewRequest("GET", url, nil)

	req.Header.Add("Authorization", "Bearer <token>")

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

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

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.get("https://api.erdo.ai/v1/experiments/{experimentSlug}")
  .header("Authorization", "Bearer <token>")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.erdo.ai/v1/experiments/{experimentSlug}")

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

request = Net::HTTP::Get.new(url)
request["Authorization"] = 'Bearer <token>'

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

{
  "evidence_datasets": [
    {
      "created_at": "2023-11-07T05:31:56Z",
      "dataset_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
      "dataset_slug": "<string>",
      "experiment_run_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
      "id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
      "role": "<string>"
    }
  ],
  "experiment_run": {
    "created_at": "2023-11-07T05:31:56Z",
    "decided_at": "2023-11-07T05:31:56Z",
    "decision": "<string>",
    "decision_rule_markdown": "<string>",
    "guardrail_metrics": [
      "<string>"
    ],
    "hypothesis_markdown": "<string>",
    "id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
    "organization_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
    "outcome_markdown": "<string>",
    "primary_metric": "<string>",
    "primary_thread_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
    "project_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
    "scope": "<string>",
    "slug": "<string>",
    "started_at": "2023-11-07T05:31:56Z",
    "status": "<string>",
    "title": "<string>",
    "updated_at": "2023-11-07T05:31:56Z",
    "workstream_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a"
  },
  "policy_state": {
    "calibration_pairs": 123,
    "calibration_z_test_passed": true,
    "decision_reason": "<string>",
    "effects": [
      {
        "augmented_ci_high": 123,
        "augmented_ci_low": 123,
        "augmented_effect": 123,
        "naive_ci_high": 123,
        "naive_ci_low": 123,
        "naive_effect": 123,
        "variant_key": "<string>"
      }
    ],
    "large_step": true,
    "primary_metric": "<string>",
    "prior_pseudo_sessions": 123,
    "recommended_decision": "<string>",
    "recommended_variant": "<string>",
    "stepped_at": "2023-11-07T05:31:56Z",
    "total_movement": 123,
    "variants": [
      {
        "allocation": 123,
        "expected_loss": 123,
        "guardrail_veto": true,
        "is_control": true,
        "key": "<string>",
        "kill_eligible": true,
        "posterior_alpha": 123,
        "posterior_beta": 123,
        "posterior_mean_rate": 123,
        "predicted_rate": 123,
        "prob_beat_control": 123,
        "ship_eligible": true,
        "stopped": true,
        "successes": 123,
        "trials": 123,
        "win_frequency": 123
      }
    ]
  },
  "variants": [
    {
      "allocation_percent": -1,
      "created_at": "2023-11-07T05:31:56Z",
      "experiment_run_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
      "id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
      "is_control": true,
      "key": "<string>",
      "label": "<string>",
      "treatment_class": "<string>",
      "treatment_resource_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
      "treatment_resource_type": "<string>",
      "treatment_url": "<string>"
    }
  ]
}

{
  "code": "not_found",
  "details": {},
  "message": "<string>"
}