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POST
/
api
/
analytics
/
search
/
cluster
Get Cluster Analytics
curl --request POST \
  --url https://api.trieve.ai/api/analytics/search/cluster \
  --header 'Authorization: <api-key>' \
  --header 'Content-Type: application/json' \
  --header 'TR-Dataset: <tr-dataset>' \
  --data '
{
  "type": "cluster_topics",
  "filter": {
    "date_range": {
      "gt": "2021-01-01 00:00:00.000",
      "gte": "2021-01-01 00:00:00.000",
      "lt": "2021-01-01 00:00:00.000",
      "lte": "2021-01-01 00:00:00.000"
    }
  }
}
'
import requests

url = "https://api.trieve.ai/api/analytics/search/cluster"

payload = {
"type": "cluster_topics",
"filter": { "date_range": {
"gt": "2021-01-01 00:00:00.000",
"gte": "2021-01-01 00:00:00.000",
"lt": "2021-01-01 00:00:00.000",
"lte": "2021-01-01 00:00:00.000"
} }
}
headers = {
"TR-Dataset": "<tr-dataset>",
"Authorization": "<api-key>",
"Content-Type": "application/json"
}

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

print(response.text)
const options = {
method: 'POST',
headers: {
'TR-Dataset': '<tr-dataset>',
Authorization: '<api-key>',
'Content-Type': 'application/json'
},
body: JSON.stringify({
type: 'cluster_topics',
filter: {
date_range: {
gt: '2021-01-01 00:00:00.000',
gte: '2021-01-01 00:00:00.000',
lt: '2021-01-01 00:00:00.000',
lte: '2021-01-01 00:00:00.000'
}
}
})
};

fetch('https://api.trieve.ai/api/analytics/search/cluster', 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.trieve.ai/api/analytics/search/cluster",
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([
'type' => 'cluster_topics',
'filter' => [
'date_range' => [
'gt' => '2021-01-01 00:00:00.000',
'gte' => '2021-01-01 00:00:00.000',
'lt' => '2021-01-01 00:00:00.000',
'lte' => '2021-01-01 00:00:00.000'
]
]
]),
CURLOPT_HTTPHEADER => [
"Authorization: <api-key>",
"Content-Type: application/json",
"TR-Dataset: <tr-dataset>"
],
]);

$response = curl_exec($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.trieve.ai/api/analytics/search/cluster"

payload := strings.NewReader("{\n \"type\": \"cluster_topics\",\n \"filter\": {\n \"date_range\": {\n \"gt\": \"2021-01-01 00:00:00.000\",\n \"gte\": \"2021-01-01 00:00:00.000\",\n \"lt\": \"2021-01-01 00:00:00.000\",\n \"lte\": \"2021-01-01 00:00:00.000\"\n }\n }\n}")

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

req.Header.Add("TR-Dataset", "<tr-dataset>")
req.Header.Add("Authorization", "<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://api.trieve.ai/api/analytics/search/cluster")
.header("TR-Dataset", "<tr-dataset>")
.header("Authorization", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"type\": \"cluster_topics\",\n \"filter\": {\n \"date_range\": {\n \"gt\": \"2021-01-01 00:00:00.000\",\n \"gte\": \"2021-01-01 00:00:00.000\",\n \"lt\": \"2021-01-01 00:00:00.000\",\n \"lte\": \"2021-01-01 00:00:00.000\"\n }\n }\n}")
.asString();
require 'uri'
require 'net/http'

url = URI("https://api.trieve.ai/api/analytics/search/cluster")

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

request = Net::HTTP::Post.new(url)
request["TR-Dataset"] = '<tr-dataset>'
request["Authorization"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"type\": \"cluster_topics\",\n \"filter\": {\n \"date_range\": {\n \"gt\": \"2021-01-01 00:00:00.000\",\n \"gte\": \"2021-01-01 00:00:00.000\",\n \"lt\": \"2021-01-01 00:00:00.000\",\n \"lte\": \"2021-01-01 00:00:00.000\"\n }\n }\n}"

response = http.request(request)
puts response.read_body
{
  "clusters": [
    {
      "avg_score": 123,
      "created_at": "<string>",
      "dataset_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
      "density": 123,
      "id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
      "topic": "<string>"
    }
  ]
}
{
"message": "Bad Request"
}

Authorizations

Authorization
string
header
required

Headers

TR-Dataset
string<uuid>
required

The dataset id or tracking_id to use for the request. We assume you intend to use an id if the value is a valid uuid.

Body

application/json

JSON request payload to filter the graph

type
enum<string>
required
Available options:
cluster_topics
filter
object | null

Response

The cluster analytics for the dataset

clusters
object[]
required