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The Stack / Research
Semantic Scholar
01 IntelligenceYes, 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 2026-07-10. Plans change — the source of truth is Semantic Scholar's own pricing page.
Models & versions
- S2 platformTLDR 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
- 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.
- 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 →Alternatives with different jobs
Perplexity
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NotebookLM
01 IntelligenceThe source-grounded seat: synthesizing your documents, transcripts, and research into answers that cite themselves.
Claude
02 DecisionsThe thinking seat: long documents, hard reasoning, code, and anything where the words have to be right the first time.