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API Documentation

Wishbucket is a cutting-edge tool designed to streamline the online shopping experience by unifying product search across multiple South Korean platforms and brands in a single, easy-to-use interface. By employing sophisticated AI algorithms, Wishbucket efficiently narrows down search results based on user preferences, including specific price ranges, brands, store names, and even details such as color and size. This powerful search engine not only translates queries in both Korean and English, it also filters out irrelevant or inaccurate product categories for enhanced precision in search results. Moreover, Wishbucket thoughtfully sorts items by popularity, ensuring users are presented with the most sought-after products in descending order of like counts - making it a reliable resource for fashion-forward shoppers wanting to stay on trend. With its commitment to user experience and relevance, Wishbucket offers a new level of convenience for those seeking a personalized and efficient online shopping experience.




Example Prompts


"Find me a Samsung phone under


"Search for Gucci bags within a price range of


"I am looking for Nike shoes, can you help me find them?"


"Can you search for a Louis Vuitton bag on the Galleria store?"


"Find a Chanel No.


"I want to buy an LG fridge, can you find it for me?"


"Search for a Prada wallet in the Hyundai department store."


"I'm interested in a Zara dress, can you find it?"


"Can you search for a Rolex watch under


"I am looking for Adidas sneakers, can you help?"


"Find an iPhone


"Can you search for a Dior lipstick below


"I want to buy a Gucci belt, can you find it for me?"


"Search for a Sony TV within a price range of


"I'm interested in a Givenchy dress, can you find it?"

Description for AI

Unified shopping search. You can perform search and retreive results combined from all South Korean shopping platforms. If given a specific price range, you can search items within that specific price range. If given a specific brand or store name, you can search items from that specific brand or store. Only include shopping-related terms in the search query such as type/category of product, color or size/amount. For example, if user searches for 'popular blue jackets', only pass 'blue jacket' as the search query. If user gives only brand or store name without specifying the type of product they want, for example 'products from nike', pass an empty string as the search query with brandName='nike' and perform search. Pass the search query in both Korean and English as parameters. When returning response, filter out items that are of incaccurate categories. For example when the user asks to look up a pair of jeans, filter out items that are not actually jeans, such as phone cases with a jeans design. Sort results in descending order of likeCount without actually showing the likeCount in the results. Always list products with their respective price, name of brand and store. Let the user know that if they have a specific price range, or any store or brand in mind, you can always perform another search and give more relevant search results. Give responses in the language the user used.

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