Pattern Search

curl --request GET \
  --url https://api.anyreach.ai/knowledge-base/sources/pattern-search

import requests

url = "https://api.anyreach.ai/knowledge-base/sources/pattern-search"

response = requests.get(url)

print(response.text)

const options = {method: 'GET'};

fetch('https://api.anyreach.ai/knowledge-base/sources/pattern-search', 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.anyreach.ai/knowledge-base/sources/pattern-search",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "GET",
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"net/http"
	"io"
)

func main() {

	url := "https://api.anyreach.ai/knowledge-base/sources/pattern-search"

	req, _ := http.NewRequest("GET", url, nil)

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.get("https://api.anyreach.ai/knowledge-base/sources/pattern-search")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.anyreach.ai/knowledge-base/sources/pattern-search")

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

request = Net::HTTP::Get.new(url)

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

{
  "data": [
    {
      "id": "3fa85f64-5717-4562-b3fc-2c963f66afa6",
      "organization_id": "3fa85f64-5717-4562-b3fc-2c963f66afa6",
      "created_at": "2026-01-15T09:30:00Z",
      "updated_at": "2026-01-15T09:30:00Z",
      "created_by": "user:3fa85f64-5717-4562-b3fc-2c963f66afa6",
      "modified_by": "user:3fa85f64-5717-4562-b3fc-2c963f66afa6",
      "type": "FILE",
      "name": "Example",
      "domain": "string",
      "file_upload_status": "PENDING",
      "chunking_strategy": {
        "method": null,
        "chunk_size": null
      },
      "file_processor": "pymupdf",
      "file_size": 1,
      "description": "string"
    }
  ],
  "count": 1
}

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