It can do one to one, one to many and many to many text comparison. User will have the option to select the similarity measure like Cosine or Manhattan Distance or Jaccard Index
It has many pre-built embedding models. The list includes word2vec, doc2vec, fastText, BERT, BGE, USE and SBERT. Under SBERT over 100 embeddings models are available.
Pricing is based on number of API hits. Cost per 100 hits is 3.0 US dollar only.
Coming soon....