curl --request POST \
  --url https://app.uselamina.ai/v1/content/score \
  --header 'Content-Type: application/json' \
  --header 'x-api-key: <api-key>' \
  --data '
{
  "platform": "instagram",
  "modality": "image",
  "limit": 10
}
'

import requests

url = "https://app.uselamina.ai/v1/content/score"

payload = {
    "platform": "instagram",
    "modality": "image",
    "limit": 10
}
headers = {
    "x-api-key": "<api-key>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {'x-api-key': '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({platform: 'instagram', modality: 'image', limit: 10})
};

fetch('https://app.uselamina.ai/v1/content/score', 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://app.uselamina.ai/v1/content/score",
  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([
    'platform' => 'instagram',
    'modality' => 'image',
    'limit' => 10
  ]),
  CURLOPT_HTTPHEADER => [
    "Content-Type: application/json",
    "x-api-key: <api-key>"
  ],
]);

$response = curl_exec($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://app.uselamina.ai/v1/content/score"

	payload := strings.NewReader("{\n  \"platform\": \"instagram\",\n  \"modality\": \"image\",\n  \"limit\": 10\n}")

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

	req.Header.Add("x-api-key", "<api-key>")
	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://app.uselamina.ai/v1/content/score")
  .header("x-api-key", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"platform\": \"instagram\",\n  \"modality\": \"image\",\n  \"limit\": 10\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://app.uselamina.ai/v1/content/score")

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

request = Net::HTTP::Post.new(url)
request["x-api-key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"platform\": \"instagram\",\n  \"modality\": \"image\",\n  \"limit\": 10\n}"

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

{
  "data": {
    "scores": [
      {
        "contentItemId": "item-001",
        "overallScore": 88.5,
        "dimensions": {
          "brandAlignment": 92,
          "predictedEngagement": 85,
          "visualQuality": 90,
          "platformFitness": 87
        },
        "feedback": "Strong brand alignment. Consider adding a call-to-action for higher engagement."
      },
      {
        "contentItemId": "item-002",
        "overallScore": 62,
        "dimensions": {
          "brandAlignment": 55,
          "predictedEngagement": 68,
          "visualQuality": 72,
          "platformFitness": 53
        },
        "feedback": "Visual style doesn't match brand guidelines. Try warmer tones and lifestyle setting."
      }
    ]
  }
}

{
  "error": "Invalid API key"
}

"Too many requests from this IP, please try again in a minute"