Correlated cryptocurrencies via context-controlled NLP

Pass a URL, global trend, concept, keyword or any text and get related cryptocurrencies based on an algorithm used for uncovering hidden relationships in data


JSON API endpoint:

POST /recommend/app/correlated_cryptos

Required:

query=[URL or text]
vxv_token_addr=0xC2A568489BF6AAC5907fa69f8FD4A9c04323081D

curl: Returns:

Correlated NYSE, Nasdaq & OTC stocks via context-controlled NLP

Pass a URL, global trend, concept, keyword or any text and get related stocks based on an algorithm used for detecting hidden relationships in data


JSON API endpoint:

POST /recommend/app/correlated_stocks

Required:

query=[URL or text]
vxv_token_addr=0xC2A568489BF6AAC5907fa69f8FD4A9c04323081D

curl: Returns:

Trending Smart Basket ETFs

100 updated baskets of cryptocurrencies or stocks with known and hidden relationships to global trends, concepts and topics


JSON API endpoint:

GET /recommend/datasets/api/trending_smart_baskets?vxv_token_addr=0xC2A568489BF6AAC5907fa69f8FD4A9c04323081D

Returns:

Hidden Relationships

Generate a basket of cryptocurrencies or stocks with known and hidden relationships to a global trend, concept or topic


JSON API endpoint:

GET /recommend/app/ai_connect-ai-crypto-deepsearch_api?db=CMDB-ai-crypto&themesource=theme_CMDB-ai-crypto&query=[query]&objectRelationshipsVectorLevel=4&vxv_token_addr=0xC2A568489BF6AAC5907fa69f8FD4A9c04323081D

Params:

query=[text]
vxv_token_addr=0xC2A568489BF6AAC5907fa69f8FD4A9c04323081D

Returns:


Trending Popularity

Trending cryptocurrencies, global trends, concepts or topics


JSON API endpoint:

POST /recommend/app/trends

Required:

vxv_token_addr=0xC2A568489BF6AAC5907fa69f8FD4A9c04323081D

curl: Returns:




Summarizer

Context-controlled data summarizer for Life Sciences & financial content URLs, news, whitepapers or other content


JSON API endpoint:

POST /recommend/app/summarize_data

Required:

query=[URL or text]
vxv_token_addr=0xC2A568489BF6AAC5907fa69f8FD4A9c04323081D

Optional:

setence_count=[1-5] (default: 2)

context_control=[keyword] (example)

context_control_sensitivity=[0-10] (default: 10)

curl: Returns:

What happy API consumers are saying...



" Hello, I'm pretty curious and amazed by how powerful your summarization of articles is ! I'd like to try it out on a side project so that's why I'm sending you this e-mail :) " - N. Hardy


" You guys are working on some really incredible stuff. Can't wait to get my hands on some code especially after looking at those links now wow...this is more of what we need in the world, this will change everything :D Cool...you're based in SF would love to meetup and grab a coffee sometime and tell you what I'm working on. " - N. Sherriff


" Great work with the context summarization! May I request a copy of the code base? I won't use for commercial purposes, or anything like that. Just academic insight. " - H. Peterson


" I'm really impressed by how accurate your algorithm is , and I would like to try it out summarizing some news concerning the same topic (in different languages). My goal is to create an algorithm that can merge some texts speaking about the same subject, so that's why I will read your mathematical explanations on the API page. FYI I tried it on French news articles, and it seems to be working almost as good as english. (it may work better on latin-based languages right ?) " -


" I do a lot of hobby or experimental projects using NLP, I'd love a chance to use your system.  Is this something you think you may release as open source? " - T. Lelelu


" Amazing work!  Is there a repository I can have access to?  These are exciting times for aspiring amateur academics like myself.  Public knowledge of this calibre is exactly what humanity needs to overcome the debt of our myriad lapses in good faith.   " - W. Sahatdjian


" Requesting API Access. Really intrigued by the amazing work your team has done around content summarization. Was wondering what is the process for applying for API access. Is there an open source implementation that we can contribute towards?  " - R. Tewari


" That's.... incredible. Wow. " - chrismbarr


" I tried it with the 50 Shades of Grey text (btw, impressive text generation work) and I found the results to be just Ok. However, I then tried it with a new text related to an app description and found the result to be quite impressive, both the summarization and the keywords extraction. Well done! " - carlos_argueta


" Is there somewhere I can use this same software/algorithm to actually summarize other things? I am thoroughly impressed. " - primary_action_items


" Really great work - just read the details. Will you writing an academic paper based on your findings? " - PJ Hampton, PhD Researcher, NLP


" That's actually really cool. Now you've got me looking into these algorithms... " - bcolb


" comparing this algorithm with the one i wrote for wingztv.com (shameless plug) i am really shocked by how much better these guys algo is. although mine was just kinda was hacked up. it just sees sentences with more words in common and ranks then by it, and then i just grab the top 5. this algo looks a lot more fancy O.o probably why it's a lot better lol. " - moridin007





Partners & Collaborators:





Selected references and acknowledgements:


Pushshift.io: