Semantic Scholar
Researchers and students ask questions about scientific literature. Your AI agent searches the Semantic Scholar database, retrieves paper details, citation networks, and author profiles in real time. Complex literature reviews completed in minutes, not weeks.
Your AI agent taps into the world's largest free academic search engine, pulling papers, authors, and citation data directly into live conversations.
Semantic Scholar
See how universities, research labs, and edtech companies use AI agents connected to Semantic Scholar to accelerate discovery and assist students.
A PhD student types 'Find recent papers on transformer architectures in medical imaging published after 2022 with at least 50 citations.' Your AI Agent queries Semantic Scholar's bulk search with field-of-study, date, and citation filters, returns a curated list with abstracts and citation counts, and provides direct links. What used to take days of manual searching now happens in a single conversation.
A principal investigator needs to demonstrate their research impact for a funding proposal. They ask the agent about their publication record. Your AI Agent retrieves the author profile, lists all papers with citation counts, identifies the most-cited works, and calculates aggregate metrics. The researcher gets a complete impact summary without manually combing through databases.
A corporate R&D team lead asks 'What are the top-cited papers on quantum error correction from the last 12 months?' Your AI Agent runs a filtered search sorted by citation count, returns the highest-impact publications with authors and venues, and identifies emerging researchers in the field. Strategic research decisions informed by real-time academic data.
Semantic Scholar
FAQs
The agent uses Semantic Scholar's Paper Relevance Search and Bulk Search APIs. It supports boolean queries, field-of-study filters (23 disciplines including Computer Science, Medicine, Physics), date ranges, venue restrictions, minimum citation counts, and publication type filters. Results include paper IDs, titles, abstracts, and citation metrics.
Yes. The Details About a Paper endpoint accepts multiple identifier formats including SHA hashes, Corpus IDs, DOIs, arXiv IDs, PubMed IDs, ACL IDs, and direct URLs from sites like arxiv.org, semanticscholar.org, and biorxiv.org. The agent resolves whichever format the user provides.
The agent retrieves author profiles including name, affiliations, homepage URL, paper count, citation count, h-index, and their full publication list. It can also batch-retrieve multiple authors simultaneously. Author search supports partial name matching and is case-insensitive.
No. All academic data is fetched in real time from Semantic Scholar's API during each conversation. Paper details, citation lists, and author profiles are queried live and used only to respond to the current request. Tars does not maintain a separate copy of the academic graph.
The relevance search returns up to 100 results per call. The bulk search endpoint returns up to 1,000 per call with continuation tokens, supporting retrieval of up to 10 million matching papers across paginated requests. Each individual API response is capped at 10 MB of data.
Yes. When retrieving citations for a paper, the agent can request the isInfluential field and citation contexts. Semantic Scholar's algorithm identifies which citing papers meaningfully built upon the referenced work versus those that only mentioned it in passing.
Google Scholar has no public API, so automated queries are not possible. Semantic Scholar provides a structured REST API with rich metadata including SPECTER embeddings, fields of study, citation contexts, and influence scores. Your AI agent can programmatically filter, sort, and batch-retrieve data that would require manual browsing otherwise.
Most endpoints work without authentication at shared rate limits. By adding a free API key from Semantic Scholar, your agent gets dedicated rate limits of 100 requests per second. Enter this key in the Tars dashboard under Tools when connecting Semantic Scholar.
Don't limit your AI Agent to basic conversations. Watch how to configure and add powerful tools making your agent smarter and more functional.
Privacy & Security
At Tars, we take privacy and security very seriously. We are compliant with GDPR, ISO, SOC 2, and HIPAA.
Email - sales@hellotars.com
.png)
%201.png)
%201.png)
