{
  "slug": "scite",
  "name": "scite",
  "aliases": ["scite.ai", "Scite Smart Citations"],
  "vendor": { "name": "Scite LLC (Research Solutions)", "slug": "scite", "website": "https://scite.ai" },
  "homepage_url": "https://scite.ai/",
  "pricing_url": "https://scite.ai/pricing",
  "product_type": "platform",
  "product_status": "active",
  "summary": "Citation-analysis platform whose Smart Citations show whether later papers support, contrast or merely mention a claim, with an AI assistant and reference checking",
  "description": "scite is a subscription research platform, now part of Research Solutions, built around \"Smart Citations\": for each citing sentence it classifies whether the citation supports, contrasts or simply mentions the cited work, and it aggregates those signals for papers, authors, journals, institutions and funders. On top of that index it offers a search interface, an AI Assistant that answers questions with claims linked back to the exact sentence in the source paper, collections, citation alerts, and a Reference Check tool for manuscripts.\n\nIntegrations include a browser extension that displays citation badges on publisher pages and Google Scholar, a Zotero plugin that pulls citation data into a library, an API on higher tiers and MCP connectivity for AI agents. Plans are sold to individuals on monthly or yearly billing after a short free trial, with enterprise and university licences that bundle SSO and pooled usage.\n\nThe classifications are produced by a machine-learning model and should be treated as a triage aid rather than a verdict; coverage depends on full-text agreements with publishers, so some fields are indexed more completely than others.",
  "capabilities": ["Smart Citations classifying citing statements as supporting, contrasting or mentioning", "AI Assistant with sentence-level provenance", "Browser extension showing citation badges", "Zotero plugin", "Reference Check for manuscripts", "API and MCP access on higher tiers"],
  "workflows": ["Checking whether a key finding has been contradicted before citing it", "Auditing a manuscript's reference list for retracted or contested sources"],
  "advantages": ["Citation context rather than raw counts", "Claims link to the exact source sentence"],
  "limitations": ["Paid subscription after a short trial", "Classification is model-based and can mislabel", "Full-text coverage depends on publisher agreements"],
  "prerequisites": ["Account; subscription for sustained use"],
  "audiences": ["Researchers evaluating evidence", "Journal editors and reviewers", "Research-integrity teams"],
  "alternatives": ["semantic-scholar", "consensus", "elicit", "connected-papers"],
  "comparison_notes": "Semantic Scholar also extracts citation intent but is free and API-first; Consensus and Elicit answer questions from the literature without scite's per-citation support/contrast classification.",
  "categories": [{ "slug": "academic-discovery", "primary": true }],
  "tags": ["citations", "llm", "browser-extension", "bibliography"],
  "use_cases": ["write-papers", "manage-references"],
  "operating_systems": ["web"],
  "execution_modes": ["cloud"],
  "interfaces": ["web", "browser-extension", "api", "mcp-server"],
  "deployment_models": ["saas"],
  "integrations": ["Zotero", "Google Scholar (badges)", "MCP clients"],
  "data_formats": ["RIS", "BibTeX", "CSV"],
  "languages": [],
  "source_model": "proprietary",
  "pricing_model": ["freemium", "paid", "enterprise", "academic"],
  "pricing_checked_at": "2026-11-02",
  "self_hostable": false,
  "sources": [
    { "url": "https://scite.ai/", "type": "official_site", "title": "AI for Research | Scite", "supports": ["name", "summary", "capabilities", "vendor"], "checked_at": "2026-11-02" },
    { "url": "https://scite.ai/pricing", "type": "pricing_page", "title": "Scite Pricing", "supports": ["pricing_model", "capabilities"], "checked_at": "2026-11-02" }
  ],
  "confidence": "medium",
  "uncertainty_note": "The help centre (help.scite.ai) did not respond during checks, so feature details rely on the marketing and pricing pages.",
  "discovery_method": "editorial-research",
  "depth": "standard",
  "editorial_status": "reviewed",
  "visibility": "public",
  "featured": false,
  "author": "batch-E"
}