- Performs a CP search with an RP performed automatically (for example:
request a search for “random product string” and also get prices for
that product in the response body). This eliminates the need for
separate
/product_searchand/pricesAPI requests. - Returns a ValueChecker recommended solution whether indexed price, clustered shopping price or ValueChecker curated price. This eliminates any confusion when you require just one price for a searched query.
- Can accept an image as the query (instead of a query text string) that is analyzed for price result(s).
payload example
Only one of the parameters
query, image_urls and images is required. The
images parameter expects a list of base64 encoded images. While the
image_urls parameter expects a list of URLs where the images are stored.Optional configuration
You can provide aclaimed_amount parameter which will be used as a
benchmark price when finding offers.
If a claimed_amount is provided, price limits will be applied based on
the category (a setting defined per client). E.g. if a
claimed_amount of 1000 is given and the category is Mobile Phones
and the price_limits for said category are:
payload example
price_min and price_max parameters which,
when provided, will take precedence over the claimed_amount benchmark
logic for calculating the price ranges.
payload example
Standardized response body
The response JSON formatting is updated so that all types of RPs (Replacement Products) have the same field structure which simplifies your parsing requirements.Core products
Products from our curated inventory. (phones, laptops, TVs, white goods, etc.)Non-Core products
Almost anything that can be found (with a price) on the internet.Clustered products
Prices for products in non-core categories aggregated into price buckets.Indexed products
Prices statistically set or adjusted by ValueChecker for generic products.Recommended price
Every response comes with a ValueChecker recommended price and type. This can be used for STP or in cases where you want to return exactly 1 price for a searched CP.Image analysis vs query string
If both aquery and an image are provided, we will do the following:
- Use the image to find a product description.
- Check said product description against the query that was provided.
- If the predicted product description is a more detailed description of the claimed product, it will be used to find offers.
- If the user provides a query together with an image that does not match the query, the query will take precedence and will be used to find offers.