GET /v1/templates/?format=api
HTTP 200 OK
Allow: GET, POST, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
    "count": 9,
    "next": null,
    "previous": null,
    "results": [
        {
            "id": "8172844c-e870-4e03-9746-515cd24862df",
            "name": "Analyze NPS survey responses",
            "description": "Assesses sentiment and loyalty group from NPS text responses",
            "type": "text"
        },
        {
            "id": "10c7bc91-bb3d-4e45-9d60-6c86ecda6157",
            "name": "Categorize PDF attachments",
            "description": "Classifies three common types of PDF documents.",
            "type": "pdf"
        },
        {
            "id": "7f7de3b5-e848-4709-80fa-1d0c9eb8336c",
            "name": "Signed vs unsigned documents",
            "description": "Distinguishes between signed and unsigned documents.",
            "type": "pdf"
        },
        {
            "id": "a01b68cc-8548-4ab5-8b86-57996204684e",
            "name": "Startup description classifier",
            "description": "Determines categories such as EdTech or  FinTech based on company descriptions of startups.",
            "type": "text"
        },
        {
            "id": "2b313c4a-7c4b-4ca8-88b7-adc21447adb2",
            "name": "Categorize photos of fashion items",
            "description": "Categorizes photos of clothing to detect common types such as footwear or outerwear.",
            "type": "image"
        },
        {
            "id": "0a86c806-741e-4c21-95e9-aef437b0c993",
            "name": "Detect languages",
            "description": "Identifies the language of the input text",
            "type": "text"
        },
        {
            "id": "5244a4ef-fc0a-4518-b843-cece348f0878",
            "name": "Detect photo quality",
            "description": "Detects if an image is blurry or watermarked",
            "type": "image"
        },
        {
            "id": "0ef8e2c4-dbb8-47bf-beca-c8528cc0985d",
            "name": "Identify customer support topics",
            "description": "Detects the key topic or issue within customer support requests",
            "type": "text"
        },
        {
            "id": "ab2ede15-0305-4522-9666-b4fc8d02125d",
            "name": "Categorize replies to cold outbound emails",
            "description": "Detect whether a prospect is interested, not interested, out of office etc.",
            "type": "text"
        }
    ]
}