Semantic Scholar
A literature review means hours of searching, opening abstracts, and tracing who cited whom. Hubi searches Semantic Scholar's corpus, pulls paper details and abstracts, follows citations and references, and finds an author's body of work - so you get a grounded reading list and citation map from a single question.
USE CASES
How businesses use Semantic Scholar + Hubi AI
Real automation scenarios powered by this integration.
Find papers on a topic fast
Describe a research question and Hubi searches Semantic Scholar, returning the most relevant papers with titles, years, and abstracts.
Trace who cited a key paper
Give Hubi a paper and it pulls the works that cite it and the references it builds on, mapping the surrounding literature.
Survey an author's body of work
Ask about a researcher and Hubi finds their papers, citation counts, and most influential work from Semantic Scholar.
Save a reading list to your notes
After a search, Hubi can write the papers and abstracts it found into your Notion page or doc so the review stays organized.
HOW IT WORKS
Get started in 3 steps
No workflows to build. Just connect, chat, and automate.
Connect Semantic Scholar
Authorize your account with one click. Hubi AI gets secure access to 20 tools.
Talk to your agent
Describe what you need in plain language. Your AI agent understands context and picks the right tools.
Watch it work
The agent reads, sends, labels, and organizes on your behalf - no manual setup required.
Everything you need to know about Semantic Scholar + Hubi AI
The Hubi AI Semantic Scholar integration connects your tools and data to your AI marketing agents. Start automating workflows in minutes.
No. Semantic Scholar's public API needs no authentication for standard use, so Hubi can search and pull paper data without an account. Heavy or sustained use may benefit from a free API key for higher rate limits.
Ready to connect Semantic Scholar to Hubi AI?
Start automating your workflows in minutes. No credit card required.
