Get Model Registry

curl --request GET \
  --url https://api.inquantum.ai/v1/public/model-registry/models

import requests

url = "https://api.inquantum.ai/v1/public/model-registry/models"

response = requests.get(url)

print(response.text)

const options = {method: 'GET'};

fetch('https://api.inquantum.ai/v1/public/model-registry/models', 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.inquantum.ai/v1/public/model-registry/models",
  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.inquantum.ai/v1/public/model-registry/models"

	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.inquantum.ai/v1/public/model-registry/models")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.inquantum.ai/v1/public/model-registry/models")

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

{
  "models": [
    {
      "id": "claude-opus-4-1",
      "name": "Anthropic: Claude Opus 4.1",
      "author": "anthropic",
      "contextLength": 200000,
      "endpoints": [
        {
          "provider": "anthropic",
          "providerSlug": "anthropic",
          "supportsPtb": true,
          "ptbCompliance": {
            "zeroDataRetention": false,
            "hipaaEligible": true
          },
          "operations": [
            "chat_completions",
            "responses"
          ],
          "pricing": {
            "prompt": 15,
            "completion": 75,
            "cacheRead": 1.5,
            "cacheWrite": 18.75
          }
        }
      ],
      "maxOutput": 32000,
      "trainingDate": "2025-08-05",
      "description": "Most capable Claude model with extended context",
      "inputModalities": [
        null
      ],
      "outputModalities": [
        null
      ],
      "operations": [
        null
      ],
      "supportedParameters": [
        null,
        null,
        null,
        null,
        null,
        null,
        null
      ]
    }
  ],
  "total": 150,
  "filters": {
    "providers": [
      {
        "name": "anthropic",
        "displayName": "Anthropic"
      },
      {
        "name": "openai",
        "displayName": "OpenAI"
      },
      {
        "name": "google",
        "displayName": "Google"
      }
    ],
    "authors": [
      "anthropic",
      "openai",
      "google"
    ],
    "capabilities": [
      "audio",
      "image",
      "thinking",
      "caching",
      "reasoning"
    ],
    "operations": [
      "chat_completions",
      "responses"
    ],
    "compliance": [
      "hipaa"
    ]
  }
}