Consensus is an academic search engine that searches and analyzes a large corpus of peer-reviewed research, including licensed full text, to support literature review. Researchers should inspect original papers and methods, verify citations and dates, distinguish evidence strength from summary confidence, account for retractions and conflicting studies, disclose assistance and retain qualified scholarly judgment.
Use authorized, minimal inputs and grant integrations the least access required. Configure privacy, retention, sharing, quality, accessibility, disclosure, export, governance, moderation and spending controls. Test representative cases, verify generated facts, calculations, citations, customer messages, code, trades and financial details, preserve originals and version history, and retain accountable human approval before publication, outreach, deployment or operational action.
A free plan is available with paid individual, university and organizational access. Searches, deep analysis, papers, full text, exports, users, subscription period, renewal and taxes vary.
AI output can be inaccurate, biased, derivative, insecure, incomplete or misleading. Review consent, copyright, financial risk, training and retention terms, renewals, refunds, platform rules and applicable law. Medical, education, finance, investment, compliance, marketing, travel and customer-facing workflows require qualified human review.
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