Business Profile
Semantic Scholar API provides developers with programmatic access to the Semantic Scholar Academic Graph, including data about authors, papers, citations, venues, and embeddings (SPECTER2), plus recommendations and datasets to power scholarly discovery and integration.
Developers and product teams building scholarly search/discovery tools, research/reference apps, startups integrating academic data, and organizations needing access to up-to-date scholarly metadata
Open, continuously updated scholarly graph with rich metadata and embeddings, accessible via a straightforward REST API; strong customer validation for ease of use, maintenance, and speed; bulk data options and dedicated datasets (S2AG, S2ORC, SUPP.AI)
Not explicitly quantified in the content; evidence suggests rapid adoption and easy integration (e.g., Connected Papers using the API since day one; open beta to a large user base). Some customer quotes emphasize speed and ease of use.
Co-founder and CTO praises the API as clear, straightforward to use, fast, and easy to integrate, enabling rapid data integration for Litmaps
Co-founder notes the APIs are well maintained, frequently updated, fast, and easy to use; supports growth to millions of users; emphasizes the public, free resource as a driver for innovation
Founder highlights pulling in the latest references to papers from top AI conferences as a simple task made possible by the API
Migration to Semantic Scholar API provides academic references for students; users appreciate ease of use, speed, reliability, and additional metadata; the Semantic Scholar team is described as helpful and responsive
A REST API that provides access to the Semantic Scholar Academic Graph, including data about authors, papers, citations, venues, and SPECTER2 embeddings, plus recommendations and datasets. It also offers datasets (S2AG, SUPP.AI, S2ORC) and supports API key-based rate limits for higher usage.
Developers, startups, and organizations building research tools, reference/paper discovery apps, and scholarly data integrations
Open, up-to-date scholarly data with rich metadata and embeddings, accessible via straightforward APIs and datasets, enabling rapid building and scaling of academic discovery experiences
{"REST API with endpoints for authors, papers, citations, venues, and embeddings","Authentication via API key for higher rate limits; unauthenticated endpoints are rate-limited","Unauthenticated rate limit: up to 1000 requests per second shared among all unauthenticated users","Authenticated rate limit: introductory 1 request per second (RPS) per API key","API key provided via email; keys should not be shared"}
Not explicitly disclosed in the provided content; indicates many endpoints are publicly accessible without authentication and API keys provide higher rate limits
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