curl --request POST \
  --url https://api.erdo.ai/v1/experiments \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "decision_rule_markdown": "<string>",
  "evidence_datasets": [
    {
      "dataset_slug": "<string>",
      "role": "<string>"
    }
  ],
  "guardrail_metrics": [
    "<string>"
  ],
  "hypothesis_markdown": "<string>",
  "primary_metric": "<string>",
  "project_slug": "<string>",
  "scope": "<string>",
  "slug": "<string>",
  "title": "<string>",
  "variants": [
    {
      "allocation_percent": -1,
      "is_control": true,
      "key": "<string>",
      "label": "<string>",
      "treatment_class": "<string>",
      "treatment_resource_id": "<string>",
      "treatment_resource_type": "<string>",
      "treatment_url": "<string>"
    }
  ],
  "workstream_slug": "<string>"
}
'

import requests

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

payload = {
    "decision_rule_markdown": "<string>",
    "evidence_datasets": [
        {
            "dataset_slug": "<string>",
            "role": "<string>"
        }
    ],
    "guardrail_metrics": ["<string>"],
    "hypothesis_markdown": "<string>",
    "primary_metric": "<string>",
    "project_slug": "<string>",
    "scope": "<string>",
    "slug": "<string>",
    "title": "<string>",
    "variants": [
        {
            "allocation_percent": -1,
            "is_control": True,
            "key": "<string>",
            "label": "<string>",
            "treatment_class": "<string>",
            "treatment_resource_id": "<string>",
            "treatment_resource_type": "<string>",
            "treatment_url": "<string>"
        }
    ],
    "workstream_slug": "<string>"
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    decision_rule_markdown: '<string>',
    evidence_datasets: [{dataset_slug: '<string>', role: '<string>'}],
    guardrail_metrics: ['<string>'],
    hypothesis_markdown: '<string>',
    primary_metric: '<string>',
    project_slug: '<string>',
    scope: '<string>',
    slug: '<string>',
    title: '<string>',
    variants: [
      {
        allocation_percent: -1,
        is_control: true,
        key: '<string>',
        label: '<string>',
        treatment_class: '<string>',
        treatment_resource_id: '<string>',
        treatment_resource_type: '<string>',
        treatment_url: '<string>'
      }
    ],
    workstream_slug: '<string>'
  })
};

fetch('https://api.erdo.ai/v1/experiments', 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",
  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([
    'decision_rule_markdown' => '<string>',
    'evidence_datasets' => [
        [
                'dataset_slug' => '<string>',
                'role' => '<string>'
        ]
    ],
    'guardrail_metrics' => [
        '<string>'
    ],
    'hypothesis_markdown' => '<string>',
    'primary_metric' => '<string>',
    'project_slug' => '<string>',
    'scope' => '<string>',
    'slug' => '<string>',
    'title' => '<string>',
    'variants' => [
        [
                'allocation_percent' => -1,
                'is_control' => true,
                'key' => '<string>',
                'label' => '<string>',
                'treatment_class' => '<string>',
                'treatment_resource_id' => '<string>',
                'treatment_resource_type' => '<string>',
                'treatment_url' => '<string>'
        ]
    ],
    'workstream_slug' => '<string>'
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "Content-Type: application/json"
  ],
]);

$response = curl_exec($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.erdo.ai/v1/experiments"

	payload := strings.NewReader("{\n  \"decision_rule_markdown\": \"<string>\",\n  \"evidence_datasets\": [\n    {\n      \"dataset_slug\": \"<string>\",\n      \"role\": \"<string>\"\n    }\n  ],\n  \"guardrail_metrics\": [\n    \"<string>\"\n  ],\n  \"hypothesis_markdown\": \"<string>\",\n  \"primary_metric\": \"<string>\",\n  \"project_slug\": \"<string>\",\n  \"scope\": \"<string>\",\n  \"slug\": \"<string>\",\n  \"title\": \"<string>\",\n  \"variants\": [\n    {\n      \"allocation_percent\": -1,\n      \"is_control\": true,\n      \"key\": \"<string>\",\n      \"label\": \"<string>\",\n      \"treatment_class\": \"<string>\",\n      \"treatment_resource_id\": \"<string>\",\n      \"treatment_resource_type\": \"<string>\",\n      \"treatment_url\": \"<string>\"\n    }\n  ],\n  \"workstream_slug\": \"<string>\"\n}")

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

	req.Header.Add("Authorization", "Bearer <token>")
	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.erdo.ai/v1/experiments")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"decision_rule_markdown\": \"<string>\",\n  \"evidence_datasets\": [\n    {\n      \"dataset_slug\": \"<string>\",\n      \"role\": \"<string>\"\n    }\n  ],\n  \"guardrail_metrics\": [\n    \"<string>\"\n  ],\n  \"hypothesis_markdown\": \"<string>\",\n  \"primary_metric\": \"<string>\",\n  \"project_slug\": \"<string>\",\n  \"scope\": \"<string>\",\n  \"slug\": \"<string>\",\n  \"title\": \"<string>\",\n  \"variants\": [\n    {\n      \"allocation_percent\": -1,\n      \"is_control\": true,\n      \"key\": \"<string>\",\n      \"label\": \"<string>\",\n      \"treatment_class\": \"<string>\",\n      \"treatment_resource_id\": \"<string>\",\n      \"treatment_resource_type\": \"<string>\",\n      \"treatment_url\": \"<string>\"\n    }\n  ],\n  \"workstream_slug\": \"<string>\"\n}")
  .asString();

require 'uri'
require 'net/http'

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

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

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"decision_rule_markdown\": \"<string>\",\n  \"evidence_datasets\": [\n    {\n      \"dataset_slug\": \"<string>\",\n      \"role\": \"<string>\"\n    }\n  ],\n  \"guardrail_metrics\": [\n    \"<string>\"\n  ],\n  \"hypothesis_markdown\": \"<string>\",\n  \"primary_metric\": \"<string>\",\n  \"project_slug\": \"<string>\",\n  \"scope\": \"<string>\",\n  \"slug\": \"<string>\",\n  \"title\": \"<string>\",\n  \"variants\": [\n    {\n      \"allocation_percent\": -1,\n      \"is_control\": true,\n      \"key\": \"<string>\",\n      \"label\": \"<string>\",\n      \"treatment_class\": \"<string>\",\n      \"treatment_resource_id\": \"<string>\",\n      \"treatment_resource_type\": \"<string>\",\n      \"treatment_url\": \"<string>\"\n    }\n  ],\n  \"workstream_slug\": \"<string>\"\n}"

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>"
}