Consensus
AI-powered scientific search engine. Returns answer with consensus meter across studies — useful for distilling messy literature.
Delv Safety Grade: B
Score 72/100 · assessed 2026-04-18
Consensus is a web-based scientific search engine operated by Consensus Inc., a venture-backed startup. It queries academic databases and returns aggregated answers with consensus meters. The service is narrow in scope (read-only academic search) with no filesystem, shell, or desktop access. Permissions are limited to outbound network calls to their API and reading academic literature databases. The main supply chain risk is that it's a closed-source SaaS with no public repository, so you cannot audit what happens server-side. Transparency is moderate: the company is identifiable and the product is well-documented, but there's no open codebase or detailed security disclosures. No known security incidents. The freemium model means some data may be retained for service improvement. Overall, it's a low-risk tool for literature review, but you're trusting a single vendor's infrastructure and data handling practices.
Green flags
- Read-only academic search with no write or execute permissions
- Narrow scope limited to scientific literature aggregation
- No known security incidents or credential leaks
- Identifiable company with professional web presence
- No filesystem, shell, or desktop control required
Red flags
- Closed source with no public repository for audit
- Freemium model may retain queries and results for training or analytics
- Single vendor dependency with no self-hosted alternative
- Unclear data retention and privacy policies for academic queries
Permissions requested
Pricing
Platforms
Review
Pay for it if you regularly verify claims against academic literature - writers, fact-checkers, researchers in early-stage scoping. Skip it if you need deep domain coverage outside health and social science, or if you're after structured data extraction rather than consensus summaries.
Good at
- Fast consensus view across multiple studies beats manual PubMed trawling
- Plain-English queries work well - no Boolean operators needed
- Useful for deflating pop-science claims with actual evidence base
- Free tier sufficient for occasional use
- Summaries generally accurate when spot-checked against source papers
Watch out
- Not truly autonomous - single-query tool, no iteration or multi-step reasoning
- Coverage weak outside biomedicine and social science
- Consensus meter misleading when sample size is small
- Won't surface nuance like species-specific results without manual drilling
- Misses papers outside its index - not a complete literature view
Use cases
- Quick "what do studies actually say?" answers
- Health-claim fact-checking
- Pre-writing background research
- Dispelling pop-science myths