Consensus

FreemiumNew

AI academic search engine that answers research questions with cited evidence

4.3/5Editor's Rating

Starting at FreeUpdated 2026-06-29

Überblick

Was ist Consensus?

Consensus is an AI-powered academic search engine that answers research questions with synthesized, citation-backed evidence from peer-reviewed papers instead of a plain link list. Built on the Semantic Scholar corpus of 200M+ papers, it features the Consensus Meter (yes/no/possibly aggregation), Pro Analysis (GPT-4 synthesis across top results), Study Snapshots, Deep Search for iterative literature reviews, and an MCP connector that pipes the corpus into Claude, ChatGPT and Cursor. Free tier available; Pro at $15/mo ($120/yr) adds unlimited Pro Searches and 15 Deep Searches per month.

Funktionen

Hauptfunktionen

Consensus Meter: aggregates papers into yes / no / possibly

Pro Analysis: GPT-4 synthesis across top results with inline citations

Study Snapshots: structured summaries (population, design, sample, outcomes)

Deep Search: automated iterative literature-review reports

Full-text PDF chat for individual papers

Advanced filters (year, journal, citations, study design, field)

MCP connector for Claude, ChatGPT Deep Research, Cursor and Codex

Analyse

Vor- und Nachteile

Pros

Every AI claim links back to a real peer-reviewed source (low hallucination)
Large corpus of 200M+ papers via Semantic Scholar
Usable free tier and a reported ~40% student discount
Consensus Meter gives a fast evidence read on yes/no questions
Connects into other AI tools via MCP

Cons

Results are not reproducible: the same query can return different papers, unsuitable for systematic reviews
AI-filtered with some randomness, so it can miss key papers and is not exhaustive
You still have to read the sources to verify each claim
Cannot analyze your own uploaded documents
Skews toward recent, English-language work

DACH-Compliance

DSGVO- und DACH-Einsatzfähigkeit

Teilweise DACH-fähig

EU-Datenresidenz verfügbar
Öffentlicher AV-Vertrag nach Art. 28 DSGVO
EUR-Abrechnung mit USt-ID-Unterstützung

Hinweise

Keine personenbezogenen Daten, anonymisierte Speicherung, kein Training auf Nutzerdaten; EEA-Transfers via Standardvertragsklauseln. EU-Datenresidenz, DPA und EUR-Abrechnung sind 2026 nicht bestätigt (USD-Preise). ~40% Studentenrabatt nutzbar.

Quelldokument

Einschätzung auf Basis der Anbieter-Dokumente, geprüft am 19. April 2026. Ersetzt keine Rechtsberatung.

Preis