Search
Search across all entities
PROSearch across all taxonomy entities (domains, disciplines, sub-disciplines, and topics) in a single request. Returns up to 10 results per entity type by default.
GET
/api/v2/search?q=:query
Response
Authentication
Requires Bearer token in the Authorization header.
Query Parameters
q
string
required
Search query — matches against entity names and topic synonyms
limit
integer
optional
Max results per entity type (default: 10, max: 50)
Response
domains
array
Matching domains
disciplines
array
Matching disciplines
sub_disciplines
array
Matching sub-disciplines
topics
array
Matching topics (also searches synonyms)
curl -X GET "https://macademiatree.com/api/v2/search?q=machine+learning" \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json"import requests
response = requests.get(
"https://macademiatree.com/api/v2/search?q=machine+learning",
headers={"Authorization": "Bearer YOUR_API_KEY"}
)
data = response.json()const response = await fetch("https://macademiatree.com/api/v2/search?q=machine+learning", {
headers: {
"Authorization": "Bearer YOUR_API_KEY"
}
});
const data = await response.json();$ch = curl_init("https://macademiatree.com/api/v2/search?q=machine+learning");
curl_setopt($ch, CURLOPT_HTTPHEADER, [
"Authorization: Bearer YOUR_API_KEY"
]);
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
$response = curl_exec($ch);
$data = json_decode($response, true);req, _ := http.NewRequest("GET", "https://macademiatree.com/api/v2/search?q=machine+learning", nil)
req.Header.Set("Authorization", "Bearer YOUR_API_KEY")
client := &http.Client{}
resp, _ := client.Do(req)
defer resp.Body.Close()HttpRequest request = HttpRequest.newBuilder()
.uri(URI.create("https://macademiatree.com/api/v2/search?q=machine+learning"))
.header("Authorization", "Bearer YOUR_API_KEY")
.build();
HttpResponse<String> response = HttpClient.newHttpClient()
.send(request, HttpResponse.BodyHandlers.ofString());require "net/http"
require "json"
uri = URI("https://macademiatree.com/api/v2/search?q=machine+learning")
request = Net::HTTP::Get.new(uri)
request["Authorization"] = "Bearer YOUR_API_KEY"
response = Net::HTTP.start(uri.hostname, uri.port, use_ssl: true) do |http|
http.request(request)
end
data = JSON.parse(response.body){
"domains": [],
"disciplines": [
{
"id": "...",
"name": "Computer Science",
"slug": "computer-science",
"type": "discipline"
}
],
"sub_disciplines": [
{
"id": "...",
"name": "Machine Learning",
"slug": "machine-learning",
"type": "sub_discipline"
}
],
"topics": [
{
"id": "...",
"name": "Neural Networks",
"slug": "neural-networks",
"type": "topic",
"synonyms": [
"ANN"
]
}
]
}{
"error": "Invalid or missing API key"
}