# Lune

2026-11-11에 검증된 OpenAITools.app 텔레메트리에 따르면, Lune(luneresearch.com)은(는) AI 리서치 도구에 색인된 AI 플랫폼으로 월 6.34천회 방문을 기록 중이며, 전월 대비 트래픽 변화량은 -2.47천(-28%)입니다. 주요 지리적 시장은 미국(트래픽 점유율 81.6%)이며, 무료+유료 가격 모델로 운영됩니다. 월간 트래픽 기준 주요 경쟁 대안으로는 Semantic Scholar (월 819.87만회 방문), ResearchRabbit (월 83.16만회 방문), Consensus (월 601.44만회 방문) 등이 있습니다.

Lune is a research layer you plug into an AI agent via a connector or MCP. It searches the full text of A/A* computer science papers, traces citations both directions, and returns answers that cite the exact source text instead of open-web noise. It also ships research best-practice playbooks and a searchable database of top-tier researcher profiles.

## 주요 텔레메트리 및 사양

| 지표 | 값 |
| :--- | :--- |
| 도구 이름 | Lune |
| 핸들 | lune |
| Status | active |
| Origin | independent |
| Maintenance | active |
| 공식 도메인 | luneresearch.com |
| 웹사이트 URL | https://luneresearch.com |
| 카테고리 | AI 리서치 도구, AI 연구 논문 도구, AI 검색 엔진, AI 지식 베이스 |
| 가격 모델 | 무료+유료 |
| 월간 방문 수 | 6,340 |
| 전월 대비 트래픽 변화 | -2,471 |
| 전월 대비 성장률 | -28% |
| 주요 시장 | 미국 |
| 시장 점유율 | 81.6% |
| 직접 방문 | 941 |
| 자연 검색 방문 | — |
| 소셜 방문 | — |
| 추천 방문 | 2,606 |
| 이메일 방문 | 98 |
| 리뷰 점수 | 4.3 |
| 저장 수 | 0 |
| 지원 플랫폼 | 웹사이트 |
| 결제 플랫폼 |  |
| 속성 | 가격: 무료+유료; 기능: 웹사이트 |
| 태그 | AI 연구 보조, 과학 연구, 학술 논문 검색, 문헌 검토, 시맨틱 검색, 전문 논문 검색, 리서치 자동화, AI 에이전트, MCP 서버, Model Context Protocol, 인용 추적, 근거 기반 답변, 학술 글쓰기, 실험 설계, 연구 브레인스토밍, 동료 검토, 주장 검증, 연구 모범 사례, 컴퓨터 과학 논문, 학회 논문, 리서치 도구, CLI |

## 개요

Lune is a research layer you plug into an AI agent via a connector or MCP. It searches the full text of A/A* computer science papers, traces citations both directions, and returns answers that cite the exact source text instead of open-web noise. It also ships research best-practice playbooks and a searchable database of top-tier researcher profiles.

## 가격 및 요금제

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.

## 주요 기능 및 역량

- **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.

## 주요 활용 사례

- **Map a new research area (Graduate student):** Start with a plain-language question, pull the foundational papers, read their claims in their own words, and trace citations forward and backward to map the state of a field.
- **Pressure-test a research idea (PhD researcher):** Run a proposed idea past prior work, get a straight answer on how novel it really is, and find the concrete gap that is still open.
- **Design a defensible experiment (Lab researcher):** Get the baselines, ablations and controls reviewers expect for your method, so the paper does not get desk-rejected for a predictable omission.
- **Ground an internal agent in real literature (Applied AI engineer):** Connect Lune to your coding or writing agent so every literature claim it makes comes back with a citation checked against the source text.

## 강점

- 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

## 한계

- 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

## 자주 묻는 질문

### How is Lune different from a normal AI search engine?
Lune scopes its corpus to peer-reviewed papers from A/A* venues — no open-web pages, workshop papers, tutorials, abstracts or demos. That means results come with a verifiable source, which reduces the risk of an agent inventing citations.

### Do I need Claude or ChatGPT to use Lune?
It is designed first as a connector for AI agents, including Claude and ChatGPT and other MCP-compatible clients. You install Lune and your agent can call its search, full-text retrieval and guidance tools while it works. There is also a CLI and web dashboard, and most people pair Lune with their existing assistant rather than using it standalone.

### Which conferences and papers are covered?
Lune indexes A/A* computer science conferences, with coverage that varies by venue but reaches the mid-2020s for most major security, systems, machine learning, HCI and theory conferences. It also includes talks, interviews and notes from influential researchers.

### What do you get on the paid plans?
Full-text semantic search in plain language, citation tracing in both directions, evidence-grounded answers with source quotes, a research best-practices library covering topics like novelty and expected baselines, a talent database with publication records, and venue listings. Pricing is freemium, with a free entry point and paid plans for heavier agent use — check the site for current tiers.

### Lune의 월간 트래픽과 성장 추세는 어떠한가요?
Lune은(는) 현재 월 6.34천회 방문을 기록 중이며, 전월 대비 트래픽 변화량은 -2.47천(성장률 -28%)입니다. 주요 유입 시장은 미국(점유율 81.6%)이며, 여기에는 월 직접 방문 941회와 월 자연 검색 방문 —회가 포함됩니다.

### Lune은(는) 무료인가요? 가격 모델은 무엇인가요?
Lune은(는) 무료+유료 가격 모델로 운영됩니다. 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. 지원되는 결제 및 체크아웃 플랫폼에는 등록되지 않음 등이 있습니다.

### 2026년 최고의 Lune 대안은 무엇인가요?
OpenAITools.app의 카테고리 트래픽과 기능 적합도를 기준으로 할 때 Lune의 상위 5개 대안은 다음과 같습니다: 1. Semantic Scholar (월 819.87만회 방문); 2. ResearchRabbit (월 83.16만회 방문); 3. Consensus (월 601.44만회 방문); 4. Scite (월 84.2만회 방문); 5. Perplexity (월 8831.02만회 방문).

### Lune은(는) 어떤 플랫폼과 핵심 AI 역량을 지원하나요?
Lune은(는) AI 리서치 도구, AI 연구 논문 도구, AI 검색 엔진, AI 지식 베이스으로 분류되며 다음 플랫폼을 지원합니다: 웹사이트. 핵심 역량 태그에는 AI 연구 보조, 과학 연구, 학술 논문 검색, 문헌 검토, 시맨틱 검색, 전문 논문 검색 등이 있습니다.

## 대안

| 도구 이름 | 월간 방문 수 | 가격 모델 | 비교 |
| :--- | :--- | :--- | :--- |
| [Semantic Scholar](https://openaitools.app/ko/tool/semantic-scholar) | 8,198,672 | 무료 | [비교](https://openaitools.app/ko/compare/lune-vs-semantic-scholar) |
| [ResearchRabbit](https://openaitools.app/ko/tool/researchrabbit) | 831,571 | 무료 | [비교](https://openaitools.app/ko/compare/lune-vs-researchrabbit) |
| [Consensus](https://openaitools.app/ko/tool/consensus) | 6,014,388 | 무료+유료 | [비교](https://openaitools.app/ko/compare/consensus-vs-lune) |
| [Scite](https://openaitools.app/ko/tool/scite) | 841,974 | 무료 체험, 가격 문의 | [비교](https://openaitools.app/ko/compare/lune-vs-scite) |
| [Perplexity](https://openaitools.app/ko/tool/perplexity-ai) | 88,310,223 | 무료+유료 | [비교](https://openaitools.app/ko/compare/lune-vs-perplexity-ai) |
| [Connected Papers](https://openaitools.app/ko/tool/connected-papers) | 750,576 | 무료+유료 | [비교](https://openaitools.app/ko/compare/connected-papers-vs-lune) |
| [ResearchPal](https://openaitools.app/ko/tool/researchpal) | 55,231 | 무료+유료 | [비교](https://openaitools.app/ko/compare/lune-vs-researchpal) |
| [Paperguide](https://openaitools.app/ko/tool/paperguide) | 371,972 | 무료+유료 | [비교](https://openaitools.app/ko/compare/lune-vs-paperguide) |
| [SciSpace](https://openaitools.app/ko/tool/scispace) | 4,464,111 | 무료+유료 | [비교](https://openaitools.app/ko/compare/lune-vs-scispace) |
| [Paper Digest](https://openaitools.app/ko/tool/paper-digest) | 97,202 | 무료+유료 | [비교](https://openaitools.app/ko/compare/lune-vs-paper-digest) |
| [Jenni](https://openaitools.app/ko/tool/jenni) | 1,498,133 | 무료+유료 | [비교](https://openaitools.app/ko/compare/jenni-vs-lune) |
| [Elicit](https://openaitools.app/ko/tool/elicit) | 1,751,507 | 무료+유료 | [비교](https://openaitools.app/ko/compare/elicit-vs-lune) |

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출처: https://openaitools.app/ko/tool/lune