curl --request POST \
  --url https://api.ontora.com/v1/people/recommendations \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "workspace_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "interview_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "limit": 5,
  "campaign": {
    "name": "<string>",
    "description": "<string>",
    "goal": "<string>",
    "interview_context_for_employee": "<string>",
    "success_criteria": "<string>",
    "topics": [
      "<string>"
    ],
    "questions": [
      "<string>"
    ]
  },
  "existing_person_ids": [
    "3c90c3cc-0d44-4b50-8888-8dd25736052a"
  ],
  "existing_emails": [
    "<string>"
  ]
}
'

import requests

url = "https://api.ontora.com/v1/people/recommendations"

payload = {
    "workspace_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
    "interview_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
    "limit": 5,
    "campaign": {
        "name": "<string>",
        "description": "<string>",
        "goal": "<string>",
        "interview_context_for_employee": "<string>",
        "success_criteria": "<string>",
        "topics": ["<string>"],
        "questions": ["<string>"]
    },
    "existing_person_ids": ["3c90c3cc-0d44-4b50-8888-8dd25736052a"],
    "existing_emails": ["<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({
    workspace_id: '3c90c3cc-0d44-4b50-8888-8dd25736052a',
    interview_id: '3c90c3cc-0d44-4b50-8888-8dd25736052a',
    limit: 5,
    campaign: {
      name: '<string>',
      description: '<string>',
      goal: '<string>',
      interview_context_for_employee: '<string>',
      success_criteria: '<string>',
      topics: ['<string>'],
      questions: ['<string>']
    },
    existing_person_ids: ['3c90c3cc-0d44-4b50-8888-8dd25736052a'],
    existing_emails: ['<string>']
  })
};

fetch('https://api.ontora.com/v1/people/recommendations', 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.ontora.com/v1/people/recommendations",
  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([
    'workspace_id' => '3c90c3cc-0d44-4b50-8888-8dd25736052a',
    'interview_id' => '3c90c3cc-0d44-4b50-8888-8dd25736052a',
    'limit' => 5,
    'campaign' => [
        'name' => '<string>',
        'description' => '<string>',
        'goal' => '<string>',
        'interview_context_for_employee' => '<string>',
        'success_criteria' => '<string>',
        'topics' => [
                '<string>'
        ],
        'questions' => [
                '<string>'
        ]
    ],
    'existing_person_ids' => [
        '3c90c3cc-0d44-4b50-8888-8dd25736052a'
    ],
    'existing_emails' => [
        '<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.ontora.com/v1/people/recommendations"

	payload := strings.NewReader("{\n  \"workspace_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n  \"interview_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n  \"limit\": 5,\n  \"campaign\": {\n    \"name\": \"<string>\",\n    \"description\": \"<string>\",\n    \"goal\": \"<string>\",\n    \"interview_context_for_employee\": \"<string>\",\n    \"success_criteria\": \"<string>\",\n    \"topics\": [\n      \"<string>\"\n    ],\n    \"questions\": [\n      \"<string>\"\n    ]\n  },\n  \"existing_person_ids\": [\n    \"3c90c3cc-0d44-4b50-8888-8dd25736052a\"\n  ],\n  \"existing_emails\": [\n    \"<string>\"\n  ]\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.ontora.com/v1/people/recommendations")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"workspace_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n  \"interview_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n  \"limit\": 5,\n  \"campaign\": {\n    \"name\": \"<string>\",\n    \"description\": \"<string>\",\n    \"goal\": \"<string>\",\n    \"interview_context_for_employee\": \"<string>\",\n    \"success_criteria\": \"<string>\",\n    \"topics\": [\n      \"<string>\"\n    ],\n    \"questions\": [\n      \"<string>\"\n    ]\n  },\n  \"existing_person_ids\": [\n    \"3c90c3cc-0d44-4b50-8888-8dd25736052a\"\n  ],\n  \"existing_emails\": [\n    \"<string>\"\n  ]\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.ontora.com/v1/people/recommendations")

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  \"workspace_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n  \"interview_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n  \"limit\": 5,\n  \"campaign\": {\n    \"name\": \"<string>\",\n    \"description\": \"<string>\",\n    \"goal\": \"<string>\",\n    \"interview_context_for_employee\": \"<string>\",\n    \"success_criteria\": \"<string>\",\n    \"topics\": [\n      \"<string>\"\n    ],\n    \"questions\": [\n      \"<string>\"\n    ]\n  },\n  \"existing_person_ids\": [\n    \"3c90c3cc-0d44-4b50-8888-8dd25736052a\"\n  ],\n  \"existing_emails\": [\n    \"<string>\"\n  ]\n}"

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

{
  "recommendations": [
    {
      "id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
      "workspace_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
      "name": "<string>",
      "person_type": "<string>",
      "source": "<string>",
      "created_at": "2023-11-07T05:31:56Z",
      "updated_at": "2023-11-07T05:31:56Z",
      "score": 123,
      "user_id": "<string>",
      "email": "<string>",
      "phone": "<string>",
      "job_title": "<string>",
      "department": "<string>",
      "seniority_level": 123,
      "seniority_label": "<string>",
      "audience_filter_attributes": {},
      "image_url": "<string>",
      "group_ids": [
        "3c90c3cc-0d44-4b50-8888-8dd25736052a"
      ],
      "group_names": [
        "<string>"
      ],
      "campaign_count": 0,
      "completed_count": 0,
      "last_participated_at": "2023-11-07T05:31:56Z",
      "channels": [
        "<string>"
      ],
      "reasons": [
        "<string>"
      ],
      "matched_campaigns": [
        "<string>"
      ]
    }
  ]
}

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