curl --request POST \
  --url https://api.{tenant}.getomneo.com/api/v3/profile/aggregations/batch.json \
  --header 'Content-Type: application/json' \
  --data '
{
  "aggregations": [
    {
      "profile_id": "<string>",
      "shop_days": 123,
      "shop_count": 123,
      "spend_12m": 123,
      "spend_12m_now": 123,
      "spend_all": 123,
      "spend_atv_12m": 123,
      "spend_atv_all": 123,
      "spend_first_date": "2023-11-07T05:31:56Z",
      "spend_last_date": "2023-11-07T05:31:56Z",
      "dimension_frequency": "<string>",
      "dimension_recency": "<string>",
      "dimension_join": "<string>",
      "channel": "<string>",
      "likely_country": "<string>",
      "likely_country_score": 123,
      "purchased_brands": [
        "<string>"
      ],
      "discount_avg": 123,
      "total_shop_days": 123,
      "first_shop_days": 123,
      "second_shop_days": 123,
      "latest_shop_days": 123,
      "average_shop_days": 123,
      "second_shop_date": "2023-11-07T05:31:56Z",
      "previous_shop_date": "2023-11-07T05:31:56Z",
      "at_risk_date": "2023-11-07T05:31:56Z",
      "latest_shop_spend": 123,
      "latest_shop_currency_id": 123,
      "latest_transacted_location_id": 123,
      "transacted_locations": [
        "<string>"
      ],
      "likely_country_iso": "<string>",
      "likely_country_iso_score": 123,
      "likely_state_iso": "<string>",
      "likely_state_iso_score": 123,
      "likely_region": "<string>",
      "likely_region_score": 123,
      "most_spend_location_id": 123,
      "most_spend_12m_location_id": 123,
      "top_historic_status_id": 123
    }
  ]
}
'

import requests

url = "https://api.{tenant}.getomneo.com/api/v3/profile/aggregations/batch.json"

payload = { "aggregations": [
        {
            "profile_id": "<string>",
            "shop_days": 123,
            "shop_count": 123,
            "spend_12m": 123,
            "spend_12m_now": 123,
            "spend_all": 123,
            "spend_atv_12m": 123,
            "spend_atv_all": 123,
            "spend_first_date": "2023-11-07T05:31:56Z",
            "spend_last_date": "2023-11-07T05:31:56Z",
            "dimension_frequency": "<string>",
            "dimension_recency": "<string>",
            "dimension_join": "<string>",
            "channel": "<string>",
            "likely_country": "<string>",
            "likely_country_score": 123,
            "purchased_brands": ["<string>"],
            "discount_avg": 123,
            "total_shop_days": 123,
            "first_shop_days": 123,
            "second_shop_days": 123,
            "latest_shop_days": 123,
            "average_shop_days": 123,
            "second_shop_date": "2023-11-07T05:31:56Z",
            "previous_shop_date": "2023-11-07T05:31:56Z",
            "at_risk_date": "2023-11-07T05:31:56Z",
            "latest_shop_spend": 123,
            "latest_shop_currency_id": 123,
            "latest_transacted_location_id": 123,
            "transacted_locations": ["<string>"],
            "likely_country_iso": "<string>",
            "likely_country_iso_score": 123,
            "likely_state_iso": "<string>",
            "likely_state_iso_score": 123,
            "likely_region": "<string>",
            "likely_region_score": 123,
            "most_spend_location_id": 123,
            "most_spend_12m_location_id": 123,
            "top_historic_status_id": 123
        }
    ] }
headers = {"Content-Type": "application/json"}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {'Content-Type': 'application/json'},
  body: JSON.stringify({
    aggregations: [
      {
        profile_id: '<string>',
        shop_days: 123,
        shop_count: 123,
        spend_12m: 123,
        spend_12m_now: 123,
        spend_all: 123,
        spend_atv_12m: 123,
        spend_atv_all: 123,
        spend_first_date: '2023-11-07T05:31:56Z',
        spend_last_date: '2023-11-07T05:31:56Z',
        dimension_frequency: '<string>',
        dimension_recency: '<string>',
        dimension_join: '<string>',
        channel: '<string>',
        likely_country: '<string>',
        likely_country_score: 123,
        purchased_brands: ['<string>'],
        discount_avg: 123,
        total_shop_days: 123,
        first_shop_days: 123,
        second_shop_days: 123,
        latest_shop_days: 123,
        average_shop_days: 123,
        second_shop_date: '2023-11-07T05:31:56Z',
        previous_shop_date: '2023-11-07T05:31:56Z',
        at_risk_date: '2023-11-07T05:31:56Z',
        latest_shop_spend: 123,
        latest_shop_currency_id: 123,
        latest_transacted_location_id: 123,
        transacted_locations: ['<string>'],
        likely_country_iso: '<string>',
        likely_country_iso_score: 123,
        likely_state_iso: '<string>',
        likely_state_iso_score: 123,
        likely_region: '<string>',
        likely_region_score: 123,
        most_spend_location_id: 123,
        most_spend_12m_location_id: 123,
        top_historic_status_id: 123
      }
    ]
  })
};

fetch('https://api.{tenant}.getomneo.com/api/v3/profile/aggregations/batch.json', 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.{tenant}.getomneo.com/api/v3/profile/aggregations/batch.json",
  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([
    'aggregations' => [
        [
                'profile_id' => '<string>',
                'shop_days' => 123,
                'shop_count' => 123,
                'spend_12m' => 123,
                'spend_12m_now' => 123,
                'spend_all' => 123,
                'spend_atv_12m' => 123,
                'spend_atv_all' => 123,
                'spend_first_date' => '2023-11-07T05:31:56Z',
                'spend_last_date' => '2023-11-07T05:31:56Z',
                'dimension_frequency' => '<string>',
                'dimension_recency' => '<string>',
                'dimension_join' => '<string>',
                'channel' => '<string>',
                'likely_country' => '<string>',
                'likely_country_score' => 123,
                'purchased_brands' => [
                                '<string>'
                ],
                'discount_avg' => 123,
                'total_shop_days' => 123,
                'first_shop_days' => 123,
                'second_shop_days' => 123,
                'latest_shop_days' => 123,
                'average_shop_days' => 123,
                'second_shop_date' => '2023-11-07T05:31:56Z',
                'previous_shop_date' => '2023-11-07T05:31:56Z',
                'at_risk_date' => '2023-11-07T05:31:56Z',
                'latest_shop_spend' => 123,
                'latest_shop_currency_id' => 123,
                'latest_transacted_location_id' => 123,
                'transacted_locations' => [
                                '<string>'
                ],
                'likely_country_iso' => '<string>',
                'likely_country_iso_score' => 123,
                'likely_state_iso' => '<string>',
                'likely_state_iso_score' => 123,
                'likely_region' => '<string>',
                'likely_region_score' => 123,
                'most_spend_location_id' => 123,
                'most_spend_12m_location_id' => 123,
                'top_historic_status_id' => 123
        ]
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "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.{tenant}.getomneo.com/api/v3/profile/aggregations/batch.json"

	payload := strings.NewReader("{\n  \"aggregations\": [\n    {\n      \"profile_id\": \"<string>\",\n      \"shop_days\": 123,\n      \"shop_count\": 123,\n      \"spend_12m\": 123,\n      \"spend_12m_now\": 123,\n      \"spend_all\": 123,\n      \"spend_atv_12m\": 123,\n      \"spend_atv_all\": 123,\n      \"spend_first_date\": \"2023-11-07T05:31:56Z\",\n      \"spend_last_date\": \"2023-11-07T05:31:56Z\",\n      \"dimension_frequency\": \"<string>\",\n      \"dimension_recency\": \"<string>\",\n      \"dimension_join\": \"<string>\",\n      \"channel\": \"<string>\",\n      \"likely_country\": \"<string>\",\n      \"likely_country_score\": 123,\n      \"purchased_brands\": [\n        \"<string>\"\n      ],\n      \"discount_avg\": 123,\n      \"total_shop_days\": 123,\n      \"first_shop_days\": 123,\n      \"second_shop_days\": 123,\n      \"latest_shop_days\": 123,\n      \"average_shop_days\": 123,\n      \"second_shop_date\": \"2023-11-07T05:31:56Z\",\n      \"previous_shop_date\": \"2023-11-07T05:31:56Z\",\n      \"at_risk_date\": \"2023-11-07T05:31:56Z\",\n      \"latest_shop_spend\": 123,\n      \"latest_shop_currency_id\": 123,\n      \"latest_transacted_location_id\": 123,\n      \"transacted_locations\": [\n        \"<string>\"\n      ],\n      \"likely_country_iso\": \"<string>\",\n      \"likely_country_iso_score\": 123,\n      \"likely_state_iso\": \"<string>\",\n      \"likely_state_iso_score\": 123,\n      \"likely_region\": \"<string>\",\n      \"likely_region_score\": 123,\n      \"most_spend_location_id\": 123,\n      \"most_spend_12m_location_id\": 123,\n      \"top_historic_status_id\": 123\n    }\n  ]\n}")

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

	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.{tenant}.getomneo.com/api/v3/profile/aggregations/batch.json")
  .header("Content-Type", "application/json")
  .body("{\n  \"aggregations\": [\n    {\n      \"profile_id\": \"<string>\",\n      \"shop_days\": 123,\n      \"shop_count\": 123,\n      \"spend_12m\": 123,\n      \"spend_12m_now\": 123,\n      \"spend_all\": 123,\n      \"spend_atv_12m\": 123,\n      \"spend_atv_all\": 123,\n      \"spend_first_date\": \"2023-11-07T05:31:56Z\",\n      \"spend_last_date\": \"2023-11-07T05:31:56Z\",\n      \"dimension_frequency\": \"<string>\",\n      \"dimension_recency\": \"<string>\",\n      \"dimension_join\": \"<string>\",\n      \"channel\": \"<string>\",\n      \"likely_country\": \"<string>\",\n      \"likely_country_score\": 123,\n      \"purchased_brands\": [\n        \"<string>\"\n      ],\n      \"discount_avg\": 123,\n      \"total_shop_days\": 123,\n      \"first_shop_days\": 123,\n      \"second_shop_days\": 123,\n      \"latest_shop_days\": 123,\n      \"average_shop_days\": 123,\n      \"second_shop_date\": \"2023-11-07T05:31:56Z\",\n      \"previous_shop_date\": \"2023-11-07T05:31:56Z\",\n      \"at_risk_date\": \"2023-11-07T05:31:56Z\",\n      \"latest_shop_spend\": 123,\n      \"latest_shop_currency_id\": 123,\n      \"latest_transacted_location_id\": 123,\n      \"transacted_locations\": [\n        \"<string>\"\n      ],\n      \"likely_country_iso\": \"<string>\",\n      \"likely_country_iso_score\": 123,\n      \"likely_state_iso\": \"<string>\",\n      \"likely_state_iso_score\": 123,\n      \"likely_region\": \"<string>\",\n      \"likely_region_score\": 123,\n      \"most_spend_location_id\": 123,\n      \"most_spend_12m_location_id\": 123,\n      \"top_historic_status_id\": 123\n    }\n  ]\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.{tenant}.getomneo.com/api/v3/profile/aggregations/batch.json")

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

request = Net::HTTP::Post.new(url)
request["Content-Type"] = 'application/json'
request.body = "{\n  \"aggregations\": [\n    {\n      \"profile_id\": \"<string>\",\n      \"shop_days\": 123,\n      \"shop_count\": 123,\n      \"spend_12m\": 123,\n      \"spend_12m_now\": 123,\n      \"spend_all\": 123,\n      \"spend_atv_12m\": 123,\n      \"spend_atv_all\": 123,\n      \"spend_first_date\": \"2023-11-07T05:31:56Z\",\n      \"spend_last_date\": \"2023-11-07T05:31:56Z\",\n      \"dimension_frequency\": \"<string>\",\n      \"dimension_recency\": \"<string>\",\n      \"dimension_join\": \"<string>\",\n      \"channel\": \"<string>\",\n      \"likely_country\": \"<string>\",\n      \"likely_country_score\": 123,\n      \"purchased_brands\": [\n        \"<string>\"\n      ],\n      \"discount_avg\": 123,\n      \"total_shop_days\": 123,\n      \"first_shop_days\": 123,\n      \"second_shop_days\": 123,\n      \"latest_shop_days\": 123,\n      \"average_shop_days\": 123,\n      \"second_shop_date\": \"2023-11-07T05:31:56Z\",\n      \"previous_shop_date\": \"2023-11-07T05:31:56Z\",\n      \"at_risk_date\": \"2023-11-07T05:31:56Z\",\n      \"latest_shop_spend\": 123,\n      \"latest_shop_currency_id\": 123,\n      \"latest_transacted_location_id\": 123,\n      \"transacted_locations\": [\n        \"<string>\"\n      ],\n      \"likely_country_iso\": \"<string>\",\n      \"likely_country_iso_score\": 123,\n      \"likely_state_iso\": \"<string>\",\n      \"likely_state_iso_score\": 123,\n      \"likely_region\": \"<string>\",\n      \"likely_region_score\": 123,\n      \"most_spend_location_id\": 123,\n      \"most_spend_12m_location_id\": 123,\n      \"top_historic_status_id\": 123\n    }\n  ]\n}"

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

{
  "message": "<string>"
}

{
  "message": "<string>"
}

{
  "message": "<string>"
}

{
  "message": "<string>",
  "errors": {}
}