# Consensus vs Lune

Consensus records 6,014,388 monthly visits with -1.2% month-over-month growth and Freemium pricing. Lune records 6,340 monthly visits with -28% growth and Freemium pricing.

| Metric | [Consensus](https://openaitools.app/tool/consensus) | [Lune](https://openaitools.app/tool/lune) |
| :--- | :--- | :--- |
| Website URL | https://consensus.app | https://luneresearch.com |
| Categories | AI Search Engine, AI Research Tool, AI Papers, AI Article Summarizer | AI Research Tool, AI Research Papers, AI Search Engine, AI Knowledge Base |
| Pricing Model | Freemium | Freemium |
| Monthly Visits | 6,014,388 | 6,340 |
| MoM Growth Rate | -1.2% | -28% |
| Primary Market | United States | United States |
| Direct Visits | 2,918,713 | 941 |
| Review Score | 4.7 | 4.3 |
| Saved Count | 31 | 0 |
| Supported Platforms | Website | Website |

## Consensus

Consensus works like a scholarly search engine supercharged by AI. Instead of returning a flat list of PDFs, you ask a natural-language research question and Consensus extracts claims from relevant papers, then shows you what the studies actually find. A Consensus Meter summarizes the weight of evidence for yes/no questions, so you can see at a glance whether scientists largely agree, disagree, or remain divided.

The platform indexes hundreds of millions of peer-reviewed papers spanning medicine, biology, psychology, economics and more. Answers link straight back to the source studies, and you can filter by study design, journal quality, sample size and publication year to separate stronger evidence from weaker signals. Features like Deep Search, Topic Synthesis and Skills let researchers build a working knowledge base over time rather than starting from scratch on every query.

Consensus is designed for researchers, clinicians, students and analysts who need trustworthy signals from the scientific record without drowning in irrelevant results. A free tier gives limited AI-powered searches each month, while paid plans unlock unlimited use, advanced filters and deeper synthesis.

**Pricing & Plans:** Freemium. A free tier offers a limited number of AI-powered searches per month; paid individual plans unlock unlimited searches and advanced research features, with discounted student pricing and team/enterprise options.

- **Evidence-grounded answers:** Ask a research question in plain language and get answers synthesized from peer-reviewed studies, with each claim linked to its source paper.
- **Consensus Meter:** A visual summary shows how the scientific literature leans on a yes/no question, indicating agreement, disagreement or mixed evidence.
- **Powerful filters:** Narrow results by study design, sample size, journal quality, publication year and more to prioritize high-quality evidence.
- **Topic synthesis and Deep Search:** Aggregate findings across many studies into structured summaries that map what is known and where the gaps are.
- **Research workspace:** Save papers, organize sources and build a persistent knowledge base for literature reviews and ongoing projects.

**Strengths:** Answers cite real peer-reviewed papers, so claims are verifiable; Consensus Meter makes it easy to gauge scientific agreement at a glance; Rich filters help separate high-quality evidence from weaker studies; Fast, clean interface designed around research workflows

**Limitations:** Free tier caps the number of AI-assisted searches per month; Coverage is strongest for STEM and health fields, lighter for some humanities topics; It guides you toward sources but is not a substitute for reading full papers

[Profile (Markdown)](https://openaitools.app/tool/consensus.md)

## Lune

Lune takes a deliberately narrow approach to AI research. Instead of crawling the open web, it indexes full texts from A/A* computer science venues — security, systems, machine learning, HCI, databases, theory and more — and exposes them to AI agents through a connector, an MCP server and a CLI. The result is an agent that can quote real paper text, trace a citation chain, and tell you which prior work makes an idea feel derivative.

The product is built around four research stages: literature review, brainstorming, experimentation and writing. For a literature review, Lune retrieves foundational papers and shows what they actually claim, with the passage it is drawing from. For brainstorming, it checks an idea against prior work and points at a specific gap — for example, that a method is brittle under domain shift and rarely evaluated cost-aware. For experimentation, it surfaces the baselines and controls reviewers expect. For writing, it helps position a method against named prior work with citations verified against the sources.

Beyond search, Lune offers a talent database of researchers with full publication records and contact information, plus venue listings for the conferences it indexes. It is aimed at students, academic researchers and applied AI teams who need trustworthy grounding rather than fluent guesses. Access is freemium: there is a free entry point and paid plans for heavier use, so check the current pricing page for limits and tiers.

**Pricing & Plans:** Freemium. There is a free entry point, with paid plans for heavier agent use and access to the full dataset. Check luneresearch.com/pricing for current tiers and limits.

- **Full-text semantic search:** Ask in plain language and Lune searches the full text of papers from top-tier venues all at once, rather than matching keywords against titles and abstracts.
- **Citation tracing:** See what a paper builds on and what later work builds on it, so you can place a result in its research lineage instead of treating it as an isolated claim.
- **Agent connector and MCP server:** Lune connects to Claude, ChatGPT and other MCP-capable clients, so your agent can pull real paper text and best-practice guidance mid-task.
- **Research best-practices library:** Battle-tested guidance on novelty checks, baselines, ablations and reviewer expectations is surfaced at the moment it is relevant, not buried in a wiki.
- **Researcher talent database:** Search leading computer scientists by research area, school or name, and check publication track records with contact details for outreach.

**Strengths:** Answers are grounded in the actual full text of peer-reviewed papers, with sources you can check; Connects to Claude, ChatGPT and other MCP clients so it works inside the agent you already use; Best-practice libraries cover the unglamorous things reviewers punish, such as missing baselines and weak novelty arguments; Researcher talent database with publication records and contact details is unusual and genuinely useful

**Limitations:** Centered on top-tier computer science venues, so researchers in other fields may find coverage thin; Requires connecting an agent (Claude, ChatGPT or a compatible MCP client) to get the most from it; Most value depends on an existing AI agent and a paid plan; the free tier is limited; Not a general web search engine — it deliberately ignores blogs, forums and non-archival sources

[Profile (Markdown)](https://openaitools.app/tool/lune.md)

## Frequently Asked Questions

### How do Consensus and Lune compare in monthly traffic?

Consensus has 6,014,388 monthly visits, while Lune has 6,340. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Consensus has a month-over-month growth rate of -1.2%; Lune has -28%.

### How does pricing compare?

Consensus: Freemium. Freemium. A free tier offers a limited number of AI-powered searches per month; paid individual plans unlock unlimited searches and advanced research features, with discounted student pricing and team/enterprise options. Lune: Freemium. Freemium. There is a free entry point, with paid plans for heavier agent use and access to the full dataset. Check luneresearch.com/pricing for current tiers and limits.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Perplexity](https://openaitools.app/tool/perplexity-ai) | 88,310,223 | -3.7% | Freemium | Real-time AI answer engine and research workspace combining live web citations with frontier reasoning models. | [.md](https://openaitools.app/tool/perplexity-ai.md) |
| 2 | [Semantic Scholar](https://openaitools.app/tool/semantic-scholar) | 8,198,672 | +5.8% | Free | A free, AI-powered academic search engine for 240M+ papers across every scientific field | [.md](https://openaitools.app/tool/semantic-scholar.md) |
| 3 | [Kagi Search](https://openaitools.app/tool/kagi-search) | 4,647,605 | +3.2% | Free Trial, Paid | A paid, ad-free search engine that answers to its users | [.md](https://openaitools.app/tool/kagi-search.md) |
| 4 | [SciSpace](https://openaitools.app/tool/scispace) | 4,464,111 | +8.6% | Freemium | AI research platform for reading, understanding and writing scientific papers | [.md](https://openaitools.app/tool/scispace.md) |
| 5 | [Elicit](https://openaitools.app/tool/elicit) | 1,751,507 | +3.1% | Freemium | AI research assistant for evidence-based literature review and synthesis | [.md](https://openaitools.app/tool/elicit.md) |
| 6 | [Jenni](https://openaitools.app/tool/jenni) | 1,498,133 | +5.2% | Freemium | The AI workspace where researchers read, write, and cite with every claim traceable to its source | [.md](https://openaitools.app/tool/jenni.md) |
| 7 | [Rayyan](https://openaitools.app/tool/rayyan) | 1,116,437 | +7.9% | Freemium | AI-assisted systematic review software for screening, extraction, and evidence synthesis at scale | [.md](https://openaitools.app/tool/rayyan.md) |
| 8 | [Scite](https://openaitools.app/tool/scite) | 841,974 | +1.1% | Free Trial, Contact for Pricing | AI answers grounded in 300M+ scholarly full texts | [.md](https://openaitools.app/tool/scite.md) |
| 9 | [ResearchRabbit](https://openaitools.app/tool/researchrabbit) | 831,571 | +3.1% | Free | Map the literature around the papers you love—free | [.md](https://openaitools.app/tool/researchrabbit.md) |
| 10 | [Connected Papers](https://openaitools.app/tool/connected-papers) | 750,576 | +3.1% | Freemium | Explore the academic literature as a visual graph of related papers | [.md](https://openaitools.app/tool/connected-papers.md) |

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Source: https://openaitools.app/compare/consensus-vs-lune

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)
