AI-powered API

Product Categorization

Generates suitable categories for a product, along with their relevance scores.

By providing the product name and its parameters, this API returns related categories and their weights as float values ranging from 1.0 to 10.0, where 10 represents the highest relevance.

This API is highly useful for developers building e-commerce platforms, product catalogue management systems, or bulk product processing tools. It automates the categorization of products, ensuring accuracy and consistency. Use cases include populating product catalogue data, enhancing product search algorithms, and improving inventory management systems.

You can set your preferred writing style by providing a voice_tone parameter. It can be adjectives like funny or joyous, or even the name of a famous writer.

Within an additional optional parameter context, you can provide a list of other categories that will be taken into consideration during the mapping process (for example your current e-commerce categories).

You can limit the output with the max_quantity parameter.

Only the content parameter is required.

AI jobs involve two key steps::

Submitting the AI job: Initiating the process by sending the job request.
Monitoring and receiving results: Continuously checking the job status and obtaining the final output upon successful completion.

Step 1. Submit the AI Job request

Attribute	Type	Mandatory	Description
content	String	Yes	Product name and its parameters to generate the categories.
language	String	No	Specify the language of the output, defaults to `English`.
max_quantity	Number	No	Maximum number of product categories to generate.
voice_tone	String	No	Preferred writing style parameter. It can be adjectives like `funny` or `joyous`, or even the name of a `famous writer`.
context	String	No	The list of other categories that will be taken into consideration during the mapping process (for example your current e-commerce categories)

REQUEST EXAMPLE:

{
    "content": "Razer Blade 16 Gaming Laptop: NVIDIA GeForce RTX 4090-13th Gen Intel test 24-Core i9 HX CPU - 16\" Dual Mode Mini LED (4K UHD+ 120Hz & FHD+ 240Hz) - 32GB RAM - 2TB SSD - Compact GaN Charger - Windows 11",
    "language": "English",
    "max_quantity":100,
    "voice_tone": "neutral",
    "context":"Razer Laptops,Razer Gear"
}

RESPONSE EXAMPLE:

{
  "status_url": "https://sharpapi.com/api/v1/content/translate/job/status/5de4887a-0dfd-49b6-8edb-9280e468c210",
  "job_id": "5de4887a-0dfd-49b6-8edb-9280e468c210"
}

Step 2. Monitor & Fetch AI Job Results

Endpoint: GET - v1/ecommerce/product_categories/job/status/:uuid

An endpoint is used to check on the progress of the requested API job.

RESULT EXAMPLE:

{
  "data": {
    "type": "api_job_result",
    "id": "6d3fec8c-34f8-4071-a5ba-af14910b4d77",
    "attributes": {
      "status": "success",
      "type": "ecommerce_product_categories",
      "result": [
        {
          "name": "Gaming Laptops",
          "weight": 10
        },
        {
          "name": "Razer Laptops",
          "weight": 10
        },
        {
          "name": "High-Performance Laptops",
          "weight": 9.5
        },
        {
          "name": "Laptops",
          "weight": 9
        },
        {
          "name": "Razer Gear",
          "weight": 8.5
        },
        {
          "name": "Electronics",
          "weight": 8
        },
        {
          "name": "Computers & Accessories",
          "weight": 7.5
        },
        {
          "name": "PC Gaming",
          "weight": 7
        },
        {
          "name": "Portable Computers",
          "weight": 6.5
        },
        {
          "name": "Tech Gadgets",
          "weight": 6
        }
      ]
    }
  }
}

Related Keywords:
Categorization
E-commerce

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