The analysis library

curl --request GET \
  --url https://api.vocily.ai/v1/custom-analysis \
  --header 'Authorization: Bearer <token>'

import requests

url = "https://api.vocily.ai/v1/custom-analysis"

headers = {"Authorization": "Bearer <token>"}

response = requests.get(url, headers=headers)

print(response.text)

const options = {method: 'GET', headers: {Authorization: 'Bearer <token>'}};

fetch('https://api.vocily.ai/v1/custom-analysis', 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.vocily.ai/v1/custom-analysis",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "GET",
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>"
  ],
]);

$response = curl_exec($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.vocily.ai/v1/custom-analysis"

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

	req.Header.Add("Authorization", "Bearer <token>")

	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.vocily.ai/v1/custom-analysis")
  .header("Authorization", "Bearer <token>")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.vocily.ai/v1/custom-analysis")

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

request = Net::HTTP::Get.new(url)
request["Authorization"] = 'Bearer <token>'

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

{
  "data": [
    {
      "name": "Default Analysis",
      "description": "Vocily's built-in post-call analysis. Attached to every new agent; detach it from an agent that does not need it. You can reword any extraction description, switch a value off, or add your own values to this group.",
      "model": null,
      "temperature": null,
      "max_tokens": null,
      "conditions": {
        "min_messages": 4
      },
      "id": "00000007-0000-4000-8000-000000000007",
      "items": [
        {
          "name": "Call Summary",
          "description": "Write a short recap of this conversation in English — one to three sentences — even when the conversation happened in Hindi, Hinglish, or any other language. Cover what the caller wanted, what the agent did about it, and how the call ended. Report only what was actually said; do not speculate about intent that was never expressed.",
          "extraction_method": "ai",
          "result_format": "string",
          "required": false,
          "constraints": {},
          "fields": [],
          "enabled": true,
          "id": "0000000c-0000-4000-8000-00000000000c",
          "category_id": "00000007-0000-4000-8000-000000000007",
          "is_system": true,
          "created_at": "2026-09-01T19:50:05.876753Z",
          "updated_at": "2026-09-01T19:50:05.876753Z"
        },
        {
          "name": "User Sentiment",
          "description": "Score the caller's overall sentiment across the whole conversation — the caller's, never the agent's.\n- positive: the caller was satisfied, agreed, thanked the agent, showed interest, or got what they called for.\n- negative: the caller was frustrated, annoyed, complained, disputed something, repeatedly refused, or hung up unhappy.\n- neutral: the caller was matter-of-fact, or the exchange was purely informational, or positive and negative moments roughly balanced out.\nWhen the caller's tone shifted during the call, judge by where they ended up. When there is genuinely too little to go on, answer neutral.",
          "extraction_method": "ai",
          "result_format": "string",
          "required": false,
          "constraints": {
            "enum": [
              "positive",
              "neutral"
            ]
          },
          "fields": [],
          "enabled": true,
          "id": "0000000d-0000-4000-8000-00000000000d",
          "category_id": "00000007-0000-4000-8000-000000000007",
          "is_system": true,
          "created_at": "2026-09-01T19:50:05.876753Z",
          "updated_at": "2026-09-01T19:50:05.876753Z"
        }
      ],
      "is_default": true,
      "created_at": "2026-09-01T19:50:05.876753Z",
      "updated_at": "2026-09-01T19:50:05.876753Z"
    },
    {
      "name": "dafa",
      "description": "asdasd",
      "model": null,
      "temperature": null,
      "max_tokens": null,
      "conditions": {},
      "id": "0000000e-0000-4000-8000-00000000000e",
      "items": [],
      "is_default": false,
      "created_at": "2026-09-05T20:41:06.966532Z",
      "updated_at": "2026-09-05T20:41:06.966532Z"
    }
  ],
  "has_more": false,
  "next_cursor": null
}

{
  "detail": "Invalid API key",
  "code": "UNAUTHORIZED"
}

{
  "detail": {
    "code": "validation_error",
    "message": "<string>",
    "errors": [
      {
        "field": "<string>",
        "message": "<string>",
        "type": "<string>"
      }
    ]
  },
  "code": "VALIDATION_ERROR"
}

{
  "code": "rate_limited"
}