{
  "slug": "researchrabbit",
  "name": "ResearchRabbit",
  "aliases": ["Research Rabbit", "RR+"],
  "vendor": { "name": "ResearchRabbit (Litmap Limited)", "slug": "researchrabbit", "website": "https://www.researchrabbit.ai" },
  "homepage_url": "https://www.researchrabbit.ai/",
  "pricing_url": "https://www.researchrabbit.ai/pricing",
  "product_type": "application",
  "product_status": "active",
  "summary": "Literature-discovery app that grows collections of papers through citation and author networks and recommends related work, with a free-forever tier",
  "description": "ResearchRabbit is a web application for literature discovery. Users seed a collection with papers they already trust; the tool then maps how those papers connect to earlier and later work and to authors, and refines its recommendations as more items are added. Collections can be shared with collaborators and a reference library can be connected so existing references become seeds.\n\nThe product has a free tier described as free forever, with unlimited searches, libraries and collections and a cap on seed articles per collection. The paid ResearchRabbit+ subscription (monthly or annual) raises the seed cap, adds advanced search controls, multiple projects, alert \"signals\" and faster support; an institutional tier adds volume licensing, LibKey integration, user management and usage statistics. The site footer credits Litmap Limited.\n\nAs with other graph-based discovery tools, results depend on the coverage of the underlying bibliographic sources, and there is no public API for scripting.",
  "capabilities": ["Collections seeded from known papers", "Citation and co-author network exploration", "Recommendations that improve as collections grow", "Shared collections for collaboration", "Alerts for new related work (paid)", "Institutional LibKey integration"],
  "workflows": ["Building a reading list for a thesis chapter", "Monitoring a topic for new papers via alerts"],
  "advantages": ["Permanently free tier covers core features", "Collaborative collections"],
  "limitations": ["Seed-article cap on the free plan", "No public API", "Dependent on external bibliographic coverage"],
  "prerequisites": ["Web browser and free account"],
  "audiences": ["Graduate students", "Researchers conducting reviews", "Academic libraries"],
  "alternatives": ["connected-papers", "semantic-scholar", "elicit", "zotero"],
  "comparison_notes": "Connected Papers focuses on one similarity graph per query with a monthly cap, whereas ResearchRabbit centres on persistent collections and alerts; neither offers an API, unlike Semantic Scholar or OpenAlex.",
  "categories": [{ "slug": "academic-discovery", "primary": true }],
  "tags": ["citations", "bibliography", "visualization"],
  "use_cases": ["manage-references", "write-papers"],
  "operating_systems": ["web"],
  "execution_modes": ["cloud"],
  "interfaces": ["web"],
  "deployment_models": ["saas"],
  "integrations": ["Zotero (library connection)", "LibKey"],
  "data_formats": ["BibTeX", "RIS"],
  "languages": [],
  "source_model": "proprietary",
  "pricing_model": ["freemium", "paid", "enterprise"],
  "pricing_checked_at": "2026-11-02",
  "self_hostable": false,
  "sources": [
    { "url": "https://www.researchrabbit.ai/", "type": "official_site", "title": "ResearchRabbit: AI Tool for Smarter, Faster Literature Reviews", "supports": ["name", "summary", "vendor"], "checked_at": "2026-11-02" },
    { "url": "https://www.researchrabbit.ai/pricing", "type": "pricing_page", "title": "Pricing | ResearchRabbit", "supports": ["pricing_model", "capabilities", "limitations"], "checked_at": "2026-11-02" }
  ],
  "confidence": "medium",
  "uncertainty_note": "The homepage footer credits Litmap Limited; the corporate relationship is not otherwise explained on the site. Zotero integration is inferred from the 'connect your reference library' feature and should be confirmed in-app.",
  "discovery_method": "editorial-research",
  "depth": "standard",
  "editorial_status": "reviewed",
  "visibility": "public",
  "featured": false,
  "author": "batch-E"
}