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1{2  "slug": "elicit",3  "name": "Elicit",4  "aliases": ["Elicit.org", "Elicit.com"],5  "vendor": { "name": "Elicit", "slug": "elicit", "website": "https://elicit.com" },6  "homepage_url": "https://elicit.com/",7  "docs_url": "https://support.elicit.com/en/",8  "pricing_url": "https://elicit.com/pricing",9  "product_type": "platform",10  "product_status": "active",11  "summary": "AI research assistant that finds papers, extracts structured data from them into tables and runs systematic-review style workflows and reports",12  "description": "Elicit is a hosted AI assistant for evidence synthesis. Its core workflow is to search a large corpus of academic papers for a question, screen the results, and extract user-defined fields from each paper into a table, with every answer linked to the passage it came from. Around that it offers chat with full-text papers, research reports generated through a process modelled on systematic reviews, a dedicated systematic-review mode that automates screening and extraction, a library for reusing sources, and \"routines\" that re-run a search as new evidence appears. Zotero import and an API are available on paid tiers.\n\nPlans are tiered: a free Basic plan with limited usage, per-user Pro and Scale plans billed monthly or yearly, and an Enterprise plan for companies and schools. Elicit does not name its underlying bibliographic sources on its public pages.\n\nOutputs are generated by language models, so extracted values must be spot-checked against the source, and the tool works best for empirical literatures with consistent reporting.",13  "capabilities": ["Paper search with AI summaries and citations", "Custom data extraction into tables", "Systematic-review workflow with screening and extraction", "Research reports with templates", "Chat with uploaded or found full texts", "Routines that keep a search current", "Zotero import and API access (paid)"],14  "workflows": ["Rapid evidence table for a grant proposal", "Screening and extraction stage of a systematic review"],15  "advantages": ["Passage-level provenance for extracted values", "Workflow covers search through report"],16  "limitations": ["Usage limits on the free plan", "Model-generated extractions require verification", "Data sources not disclosed on public pages"],17  "prerequisites": ["Account; paid plan for API and systematic-review mode"],18  "audiences": ["Researchers running literature reviews", "Policy and R&D analysts", "Clinicians"],19  "alternatives": ["consensus", "scite", "semantic-scholar", "researchrabbit"],20  "comparison_notes": "Consensus is oriented to question answering with agreement meters, scite to citation-level support/contrast signals; Elicit is distinguished by table-style data extraction across many papers.",21  "categories": [{ "slug": "academic-discovery", "primary": true }],22  "tags": ["llm", "rag", "citations", "api"],23  "use_cases": ["write-papers", "manage-references"],24  "operating_systems": ["web"],25  "execution_modes": ["cloud"],26  "interfaces": ["web", "api"],27  "deployment_models": ["saas"],28  "integrations": ["Zotero (import)"],29  "data_formats": ["CSV", "BibTeX", "PDF"],30  "languages": [],31  "source_model": "proprietary",32  "pricing_model": ["freemium", "paid", "enterprise"],33  "pricing_checked_at": "2026-11-02",34  "self_hostable": false,35  "sources": [36    { "url": "https://elicit.com/", "type": "official_site", "title": "Elicit: AI for research & decision-making", "supports": ["name", "summary", "capabilities"], "checked_at": "2026-11-02" },37    { "url": "https://elicit.com/pricing", "type": "pricing_page", "title": "Pricing | Elicit", "supports": ["pricing_model", "capabilities", "limitations"], "checked_at": "2026-11-02" },38    { "url": "https://support.elicit.com/en/", "type": "official_docs", "title": "Elicit Help Center", "supports": ["docs_url"], "checked_at": "2026-11-02" }39  ],40  "confidence": "medium",41  "uncertainty_note": "The legal entity behind Elicit is not named on the public pages checked.",42  "discovery_method": "editorial-research",43  "depth": "standard",44  "editorial_status": "reviewed",45  "visibility": "public",46  "featured": false,47  "author": "batch-E"48}49
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