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The Stack / Research

Semantic Scholar

01 Intelligence

Yes, and it costs nothing — Semantic Scholar (Allen Institute) pairs serious academic search with TLDR summaries, influence-weighted citations, and a free API researchers actually build on. For operators, it's the free feeder into deeper Elicit/Consensus workflows.

The job in the stack

The open-research seat: 200M+ papers with AI summaries, citation graphs, and a free API — scholarly search without paywalled tooling.

Pricing

Plan Price Notes
Free $0 Full product and API, no paid tier

Pricing verified 2026-10-08. Plans change — the source of truth is Semantic Scholar's own pricing page.

Models & versions

  • S2 platform TLDR paper summaries, citation influence graph, free API over 200M+ papers

The honest read

What works

  • + Completely free including the API — Allen AI's public good
  • + TLDRs triage papers in seconds
  • + Citation-influence graph beats raw counts for finding what matters

What breaks

  • − Interface is functional-academic, not polished-consumer
  • − No extraction workflows — that's Elicit's tier
  • − Coverage strongest in CS/biomed; humanities thinner

Use it for

  • →Free literature triage before paid research tools
  • →Citation-network exploration on a topic
  • →Developers building on scholarly data via API

Skip it if

  • ×You need evidence synthesis with meters/tables — Consensus/Elicit
  • ×Your research is web-current — Perplexity

Questions operators ask

?Semantic Scholar vs Elicit/Consensus?

It's the free foundation: find and triage papers here, then synthesize in Consensus (evidence meter) or extract in Elicit (tables). All three stack; this one costs nothing.

What changed

  1. Freshness sweep: no change. semanticscholar.org/faq still describes a free tool with no paid plans, plus the S2AG REST API, monthly dataset downloads and the peer-review service. FAQ cites 2B+ citations and lists experimental AI features (Ask This Paper, TLDRs for CS and biomedicine).
  2. Freshness sweep: no changes. semanticscholar.org/faq still calls it a free, AI-powered search and discovery tool with no paid plans, and offers the REST API, monthly dataset downloads and a Peer Review API. The site no longer fixes a paper count in the FAQ — it points to the live counter in the search bar — so the 200M+ floor stands.
  3. Freshness sweep: still fully free including the API, no tiers — API rate-limited to 100 requests/5min on the free key with higher limits available by request. Corpus holds at 214M+ papers.
  4. Freshness sweep: still fully free including the API — no paid tiers introduced. Corpus now commonly cited at 214M+ papers (our 200M+ floor stands). Recommendations API remains part of the free offering.
  5. Released to the live stack. Re-verified pre-release: still fully free including API, no paid tiers introduced. ~7.9M monthly visits confirms it as a heavily-used free layer.
  6. Added to the stack (open-research seat). Verified: free product and API from Allen AI; no paid tiers.

Give Semantic Scholar a job

The open-research seat: 200M+ papers with AI summaries, citation graphs, and a free API — scholarly search without paywalled tooling.

Try Semantic Scholar →

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