Complementary Products

The Complementary Products algorithm represents a different approach compared to Collaborative Algorithms, which are typically used to complement product recommendations. It is particularly effective on product pages and cart pages.

Endpoint

GET https://recommendation.api.useinsider.com/v2/complementary

Query Parameters

Parameter	Sample Value	Description	Data Type	Required
partnerName	mybrand	Partner Identifier assigned by Insider One. You can use PartnerID as well.	String	Yes
locale	us_US	Locale of requested product catalog	String	Yes
platform	web	Requested platform. Web comes by default.	Enum	No
currency	USD	Requested currency of the products. If no value is set, the default currency in your settings is used.	String	No
productId	ABC0123	Base product ID	String	Yes
size	50	Required number of items in response. Valid values are 0 to 100.	Integer	No
categoryList	[“Clothes”, “Skirts”]	Category filter of the products	Array (of string)	No
filter		Smart Recommender filtering. There can be more than one filter parameter.	String	No
details	true	Adds details to the products of the response	Boolean	No
shuffle	false	Shuffles the products of the response	Boolean	No
getGroupProducts	false	Shows variant products under the products of the response	Boolean	No
groupProductsFields		Adds these fields to the variant products’ details	String	No
excludeVariants	true	Exclude variants from the response	Boolean	No
userId	a1b2c3d4	User identifier, which is assigned by Insider One	String	No
excludeViewDay	30	After how many days should viewed products be excluded	Integer	No (Can be used only with userId)
excludeViewItem	100	How many viewed products should be excluded	Integer	No (Can be used only with userId)
excludePurchaseDay	30	After how many days should purchased products be excluded	Integer	No (Can be used only with userId)
excludePurchaseItem	100	How many purchased products should be excluded	Integer	No (Can be used only with userId)
hp	false	Makes affinities affect the products of the response	Boolean	No

Sample Request

The sample below displays a request to Complementary Products, the algorithm that suggests items frequently bought or viewed together with the anchor product.

https://recommendation.api.useinsider.com/v2/complementary?partnerName={PartnerName}&locale={Locale}&productId={ProductId}

Sample Response

{
        "success": true,
        "total": 5,
        "types": {
        "cp": 5
        },
        "data": [
        "ABC321Z8",
        "ABC312Z8",
        "ABC123Z8",
        "ABC234Z8",
        "ABC345Z8"
        ]
        }

Fallback Algorithms

If the products from Complementary Products are not enough to fill the response data, some fallback algorithms below fill it:

Purchased Together
Top Sellers of Category
Top Sellers