Hyperresearch vs Semantic Scholar
Pick Semantic Scholar when you need free paper search, citation graphs and bulk metadata for a tool you are building. Pick Hyperresearch when you need a written report on a question, built from the open web and structured public data, with figures checked against their sources. Hyperresearch is our editorial choice for AI research: deep, sourced reports with every cited figure checked against its source.
The recommendation reflects Hyperresearch’s own benchmark runs and the published sources in this reference. Hyperresearch is our product. This is not a hands-on test of every tool.
Side by side
| Hyperresearch | Semantic Scholar | |
|---|---|---|
| Pricing | The first Deep report is free. See hyperresearch.ai for current plans. | Free to search on the website. The API product page states no fee. |
| What it returns | A sourced written report. | Paper records, authors, citations, venues, recommendations and downloadable datasets. |
| Sources and coverage | The open web plus more than 90 structured sources. | 214 million papers, according to its product page, from publisher partnerships, data providers and web crawling. |
| Citations and verification | Each cited figure is checked against its source before the report ships. | Citation links and a citation graph. The graph does not check whether a claim holds. |
| API or MCP | Answers, a separate product, offers an API and an MCP server. | Open Academic Graph API. Without a key, requests share a pool of 1,000 requests per second across unauthenticated users. A free key sets an introductory limit of 1 request per second on all endpoints. |
| Limits | Scope is market, industry and company research, not a paper index. | Shared unauthenticated limits are throttled. Dataset licenses vary, and some are noncommercial. |
| Best for | Reports on markets, companies and public data. | Finding papers, mapping citations and building research tools. |
Two different kinds of tool
Semantic Scholar is a free index of academic papers. Its product page says it covers 214 million papers from publisher partnerships, data providers and web crawling. It offers search, paper pages, citation graphs, author and venue records, recommendations and downloadable datasets through its API.
Hyperresearch Deep is a report service. It plans a question, researches it chapter by chapter and writes a report that cites the open web and more than 90 structured sources. It answers the question 'what do the figures say and where do they come from', not 'which papers exist on this topic'.
Checking sources
Semantic Scholar shows citation links, and its graph tells you which papers cite which. It does not judge whether a cited claim is correct. You still read each paper to decide that. Hyperresearch checks each figure in its report against the source it cites before the report ships. That covers statistics from government or filing data as well as web pages.
The two products suit different stages of a project. If you are collecting papers for a literature review, Semantic Scholar gives you the records and the graph at no charge. If you need a short, sourced market or company report, Hyperresearch is the closer fit. Neither replaces reading the primary source.
Access and limits
Semantic Scholar's search is free, and its API product page lists no fee. Without a key, requests share an unauthenticated pool. A free key raises limits, although the page sets an introductory limit of one request per second on all endpoints. Dataset licenses differ, and some are noncommercial, so read the terms before you reuse data.
Hyperresearch's first Deep report is free, and its Answers product offers free credit to start.
Choose Hyperresearch or Semantic Scholar?
- You need a sourced report that covers the open web and public statistics together.
- You want figures checked against their sources before you use them.
- You are scoping a market or company and do not need to read the papers yourself.
- You are reviewing academic papers and need paper records and citation links.
- You are building a tool and want a free API with bulk datasets.
- You want paper recommendations from a starting paper.
Where Hyperresearch fits
Semantic Scholar is the better tool for academic paper discovery and citation mapping, and it is free to search. Hyperresearch is for reports on markets, companies and public data, where each figure is checked against its source.
Questions & answers
Is Semantic Scholar free?
Searching the website is free, and the API product page lists no fee. Without a key, requests share a pool across unauthenticated users. A free key raises the limits, but the page sets an introductory limit of one request per second on all endpoints. Check the license for each dataset before you reuse it, since some are noncommercial.
Which is better for a literature review?
For finding and mapping papers, Semantic Scholar is the better choice, since its search, citation graph and recommendations are free to use. Hyperresearch is not a paper index. It is better for a written report on a question that draws on public data as well as the open web.
Sources for this entry
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