curl --request POST \
  --url https://ca-factagora-search.kindsea-5b0dfb7c.eastus.azurecontainerapps.io/api/v1/fingerprint/detect \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "content": "<string>",
  "top_k": 5,
  "min_score": 0.3,
  "candidate_limit": 1000,
  "filters": {
    "author_id": "<string>",
    "date_from": "<string>",
    "date_to": "<string>"
  }
}
'

import requests

url = "https://ca-factagora-search.kindsea-5b0dfb7c.eastus.azurecontainerapps.io/api/v1/fingerprint/detect"

payload = {
    "content": "<string>",
    "top_k": 5,
    "min_score": 0.3,
    "candidate_limit": 1000,
    "filters": {
        "author_id": "<string>",
        "date_from": "<string>",
        "date_to": "<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({
    content: '<string>',
    top_k: 5,
    min_score: 0.3,
    candidate_limit: 1000,
    filters: {author_id: '<string>', date_from: '<string>', date_to: '<string>'}
  })
};

fetch('https://ca-factagora-search.kindsea-5b0dfb7c.eastus.azurecontainerapps.io/api/v1/fingerprint/detect', 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://ca-factagora-search.kindsea-5b0dfb7c.eastus.azurecontainerapps.io/api/v1/fingerprint/detect",
  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([
    'content' => '<string>',
    'top_k' => 5,
    'min_score' => 0.3,
    'candidate_limit' => 1000,
    'filters' => [
        'author_id' => '<string>',
        'date_from' => '<string>',
        'date_to' => '<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://ca-factagora-search.kindsea-5b0dfb7c.eastus.azurecontainerapps.io/api/v1/fingerprint/detect"

	payload := strings.NewReader("{\n  \"content\": \"<string>\",\n  \"top_k\": 5,\n  \"min_score\": 0.3,\n  \"candidate_limit\": 1000,\n  \"filters\": {\n    \"author_id\": \"<string>\",\n    \"date_from\": \"<string>\",\n    \"date_to\": \"<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://ca-factagora-search.kindsea-5b0dfb7c.eastus.azurecontainerapps.io/api/v1/fingerprint/detect")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"content\": \"<string>\",\n  \"top_k\": 5,\n  \"min_score\": 0.3,\n  \"candidate_limit\": 1000,\n  \"filters\": {\n    \"author_id\": \"<string>\",\n    \"date_from\": \"<string>\",\n    \"date_to\": \"<string>\"\n  }\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://ca-factagora-search.kindsea-5b0dfb7c.eastus.azurecontainerapps.io/api/v1/fingerprint/detect")

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  \"content\": \"<string>\",\n  \"top_k\": 5,\n  \"min_score\": 0.3,\n  \"candidate_limit\": 1000,\n  \"filters\": {\n    \"author_id\": \"<string>\",\n    \"date_from\": \"<string>\",\n    \"date_to\": \"<string>\"\n  }\n}"

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

{
  "match_found": true,
  "confidence_score": 0.5,
  "query_fingerprint_id": "<string>",
  "matches": [
    {
      "fingerprint_id": "<string>",
      "metadata": {},
      "embed_timestamp": "2023-11-07T05:31:56Z",
      "score": 0.5,
      "similarity_breakdown": {
        "entity_match": 0.5,
        "timeseries_match": 0.5,
        "causal_pattern_match": 0.5
      },
      "overlap": {
        "entities": [
          "<string>"
        ],
        "timeseries": [
          "<string>"
        ],
        "relations": [
          "<string>"
        ]
      },
      "watermark_match": true,
      "watermark_correlation": 0.5
    }
  ],
  "meta": {
    "scanned": 123,
    "executionTimeMs": 123,
    "weights": {
      "entity": 123,
      "time": 123,
      "causal": 123
    },
    "watermark_detected": true
  }
}

{
  "error": "<string>",
  "message": "<string>",
  "statusCode": 123
}

{
  "error": "<string>",
  "message": "<string>",
  "statusCode": 123
}

{
  "error": "<string>",
  "message": "<string>",
  "statusCode": 123
}