curl --request POST \
  --url https://api.erdo.ai/v1/datasets/{datasetSlug}/query \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "apply_default_filters": true,
  "create_snapshot": true,
  "dataset_slug": "<string>",
  "filter_names": [
    "<string>"
  ],
  "limit": 123,
  "query": "<string>",
  "resource_key": "<string>",
  "snapshot_id": "<string>"
}
'

import requests

url = "https://api.erdo.ai/v1/datasets/{datasetSlug}/query"

payload = {
    "apply_default_filters": True,
    "create_snapshot": True,
    "dataset_slug": "<string>",
    "filter_names": ["<string>"],
    "limit": 123,
    "query": "<string>",
    "resource_key": "<string>",
    "snapshot_id": "<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({
    apply_default_filters: true,
    create_snapshot: true,
    dataset_slug: '<string>',
    filter_names: ['<string>'],
    limit: 123,
    query: '<string>',
    resource_key: '<string>',
    snapshot_id: '<string>'
  })
};

fetch('https://api.erdo.ai/v1/datasets/{datasetSlug}/query', 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/datasets/{datasetSlug}/query",
  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([
    'apply_default_filters' => true,
    'create_snapshot' => true,
    'dataset_slug' => '<string>',
    'filter_names' => [
        '<string>'
    ],
    'limit' => 123,
    'query' => '<string>',
    'resource_key' => '<string>',
    'snapshot_id' => '<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/datasets/{datasetSlug}/query"

	payload := strings.NewReader("{\n  \"apply_default_filters\": true,\n  \"create_snapshot\": true,\n  \"dataset_slug\": \"<string>\",\n  \"filter_names\": [\n    \"<string>\"\n  ],\n  \"limit\": 123,\n  \"query\": \"<string>\",\n  \"resource_key\": \"<string>\",\n  \"snapshot_id\": \"<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/datasets/{datasetSlug}/query")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"apply_default_filters\": true,\n  \"create_snapshot\": true,\n  \"dataset_slug\": \"<string>\",\n  \"filter_names\": [\n    \"<string>\"\n  ],\n  \"limit\": 123,\n  \"query\": \"<string>\",\n  \"resource_key\": \"<string>\",\n  \"snapshot_id\": \"<string>\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.erdo.ai/v1/datasets/{datasetSlug}/query")

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  \"apply_default_filters\": true,\n  \"create_snapshot\": true,\n  \"dataset_slug\": \"<string>\",\n  \"filter_names\": [\n    \"<string>\"\n  ],\n  \"limit\": 123,\n  \"query\": \"<string>\",\n  \"resource_key\": \"<string>\",\n  \"snapshot_id\": \"<string>\"\n}"

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

{
  "columns": [
    "<string>"
  ],
  "row_count": 123,
  "rows": [
    [
      "<string>"
    ]
  ],
  "snapshot_id": "<string>"
}

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