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Scite scite.ai

Can AI replace Scite?

The AI classification of a citation as supporting, contrasting or mentioning is a solvable NLP task, but the product's real value is the licensed full-text corpus across 40+ publishers plus preprint servers, kept current and cross-referenced at scale. No individual or small team can replicate that data-access moat; a DIY build only works on open-access papers, which is a small fraction of the literature that matters for a lot of fields.

Verdict: Nah · Keep paying, or use a free alternativeBuild time: multi-day
Nah

01What it costs

$20/moPremium, monthly
$240per year at that price

Checked Aug 10, 2026 · source: scite.ai. Free account allows searching the citation database plus one report and one visualization per month, but reports can't be exported.

02Could AI build it for you?

The core job: Pull open-access full text (arXiv, PubMed Central, bioRxiv) for a paper's cited works, then use an LLM to classify each citing sentence as supporting, contrasting or neutral.

What a working version needs:

  • OpenAI/Anthropic API key
  • access to open-access full-text sources (arXiv, PMC, bioRxiv)

Closest honest consolation build only covers open-access literature; paywalled-publisher coverage is the part that can't be cloned.

03What you'd give up

  • coverage of paywalled publishers (Wiley, Cambridge, Wolters Kluwer, etc.)
  • pre-built citation database spanning hundreds of millions of citation statements
  • retraction/correction flags sourced from Crossref and PubMed
  • browser extension overlay on Google Scholar and journal pages
  • reference-check tool for uploaded manuscripts

Researchers pay for reliable, broad coverage of paywalled literature and for a maintained, cross-checked citation graph rather than re-scraping and re-classifying papers themselves every time.

04Free and cheaper alternatives

Semantic Scholarfree

Free academic search engine with citation graphs and TLDR summaries, though without support/contrast classification.

semanticscholar.org →
COREfree

Free aggregator of over 200 million open-access research papers with full-text search.

core.ac.uk →

05The build prompt

Paste this into an AI coding tool (such as Claude, ChatGPT, Lovable or Replit) to build your own version. Read the verdict first: this one is hard to get right.

prompt.txt
Build me an open-access citation-context checker as a Next.js app.
Stack: Next.js + TypeScript, SQLite via better-sqlite3, Tailwind. No auth, single user, localhost only.
Core loop:
1. A search box where I paste a DOI or arXiv ID; fetch its metadata and reference list via the free Semantic Scholar API (no key needed).
2. For each citing paper available as open-access full text (via arXiv or PubMed Central APIs), pull the sentence(s) around the citation.
3. Send each citation sentence to the Anthropic API (key from .env) with a fixed prompt asking it to classify the citation as supporting, contrasting, or mentioning, with a one-line reason.
4. Show results in a table: citing paper, classification, and the quoted sentence, filterable by classification.
Out of scope: paywalled-publisher content, browser extension, manuscript reference-check upload, accounts, alerts.
Include a README noting this only works for open-access papers and citing papers, unlike a licensed full-text database.

06Open-source starting points

  • Semantic Scholar API: free API with citation graphs and some citation-intent classification for open-access papers
Sponsor slot · openFeatured alternative to Scite. A labeled card for one relevant tool.
Book this spot →

App prices, verdicts, alternatives and build prompts are adapted from Can I Vibecode It? (MIT License, © 2026 Rob Hallam). Each price shows the date it was checked and its source. Prices change; confirm on the vendor's site before you decide.