# Lune

Laut der am 2026-11-11 verifizierten Telemetrie von OpenAITools.app ist Lune (luneresearch.com) eine KI-Plattform, die unter KI-Research-Tool indexiert ist und 6340 monatliche Besuche mit einem Traffic-Delta von -2471 (-28 %) gegenüber dem Vormonat generiert. Ihr primärer geografischer Markt ist Vereinigte Staaten (81,6 % Traffic-Anteil) und sie arbeitet mit einem Preismodell „Freemium“. Zu den wichtigsten konkurrierenden Alternativen nach monatlichem Volumen gehören Semantic Scholar (8,2 Mio. Besuche/Monat), ResearchRabbit (831.571 Besuche/Monat), Consensus (6,01 Mio. Besuche/Monat).

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.

## Wichtige Telemetrie und Spezifikationen

| Kennzahl | Wert |
| :--- | :--- |
| Tool-Name | Lune |
| Handle | lune |
| Status | active |
| Origin | independent |
| Maintenance | active |
| Offizielle Domain | luneresearch.com |
| Website-URL | https://luneresearch.com |
| Kategorien | KI-Research-Tool, KI-Tools für wissenschaftliche Paper, KI-Suchmaschine, KI-Wissensdatenbank |
| Preismodell | Freemium |
| Monatliche Besuche | 6.340 |
| MoM-Traffic-Veränderung | -2.471 |
| MoM-Wachstumsrate | -28 % |
| Primärmarkt | Vereinigte Staaten |
| Marktanteil | 81,6 % |
| Direkte Besuche | 941 |
| Organische Suchbesuche | — |
| Social-Besuche | — |
| Verweis-Besuche | 2.606 |
| E-Mail-Besuche | 98 |
| Bewertungsergebnis | 4,3 |
| Anzahl gespeicherter Einträge | 0 |
| Unterstützte Plattformen | Website |
| Abrechnungsplattformen |  |
| Attribute | Preise: Freemium; Funktionen: Website |
| Tags | KI-Forschungsassistent, wissenschaftliche Forschung, Suche nach wissenschaftlichen Papers, Literaturrecherche, Semantische Suche, Volltext-Papersuche, Recherche-Automatisierung, KI-Agenten, MCP-Server, Model Context Protocol, Zitationsverfolgung, Evidenzbasierte Antworten, Wissenschaftliches Schreiben, Versuchsplanung, Recherche-Brainstorming, Peer-Review, Aussagenprüfung, Best Practices der Recherche, Informatik-Papers, Konferenzbeiträge, Recherche-Tools, CLI |

## Überblick

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.

## Preise und Tarife

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.

## Hauptfunktionen und Fähigkeiten

- **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.

## Wichtigste Anwendungsfälle

- **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.

## Stärken

- 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

## Einschränkungen

- 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

## Häufig gestellte Fragen

### 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.

### Wie hoch sind der monatliche Traffic und der Wachstumstrend von Lune?
Lune erhält derzeit 6340 monatliche Besuche bei einer Traffic-Veränderung von -2471 (-28 % Wachstumsrate) gegenüber dem Vormonat. Der wichtigste Quellmarkt ist Vereinigte Staaten (81,6 % Anteil), einschließlich 941 direkte Besuche/Monat und — organische Suchbesuche/Monat.

### Ist Lune kostenlos? Welches Preismodell hat es?
Lune arbeitet mit einem Preismodell „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. Zu den unterstützten Abrechnungs- und Checkout-Plattformen gehören: nicht aufgeführt.

### Was sind die besten Alternativen zu Lune im Jahr 2026?
Basierend auf Kategorie-Traffic und Funktionspassung bei OpenAITools.app sind die fünf besten Alternativen zu Lune: 1. Semantic Scholar (8,2 Mio. Besuche/Monat); 2. ResearchRabbit (831.571 Besuche/Monat); 3. Consensus (6,01 Mio. Besuche/Monat); 4. Scite (841.974 Besuche/Monat); 5. Perplexity (88,31 Mio. Besuche/Monat).

### Welche Plattformen und zentralen KI-Fähigkeiten unterstützt Lune?
Lune ist unter KI-Research-Tool, KI-Tools für wissenschaftliche Paper, KI-Suchmaschine, KI-Wissensdatenbank klassifiziert, unterstützt die folgenden Plattformen: Website, und die zentralen Fähigkeits-Tags umfassen: KI-Forschungsassistent, wissenschaftliche Forschung, Suche nach wissenschaftlichen Papers, Literaturrecherche, Semantische Suche, Volltext-Papersuche.

## Alternativen

| Tool-Name | Monatliche Besuche | Preismodell | Vergleichen |
| :--- | :--- | :--- | :--- |
| [Semantic Scholar](https://openaitools.app/de/tool/semantic-scholar) | 8.198.672 | Kostenlos | [Vergleichen](https://openaitools.app/de/compare/lune-vs-semantic-scholar) |
| [ResearchRabbit](https://openaitools.app/de/tool/researchrabbit) | 831.571 | Kostenlos | [Vergleichen](https://openaitools.app/de/compare/lune-vs-researchrabbit) |
| [Consensus](https://openaitools.app/de/tool/consensus) | 6.014.388 | Freemium | [Vergleichen](https://openaitools.app/de/compare/consensus-vs-lune) |
| [Scite](https://openaitools.app/de/tool/scite) | 841.974 | Kostenlose Testversion, Preise auf Anfrage | [Vergleichen](https://openaitools.app/de/compare/lune-vs-scite) |
| [Perplexity](https://openaitools.app/de/tool/perplexity-ai) | 88.310.223 | Freemium | [Vergleichen](https://openaitools.app/de/compare/lune-vs-perplexity-ai) |
| [Connected Papers](https://openaitools.app/de/tool/connected-papers) | 750.576 | Freemium | [Vergleichen](https://openaitools.app/de/compare/connected-papers-vs-lune) |
| [ResearchPal](https://openaitools.app/de/tool/researchpal) | 55.231 | Freemium | [Vergleichen](https://openaitools.app/de/compare/lune-vs-researchpal) |
| [Paperguide](https://openaitools.app/de/tool/paperguide) | 371.972 | Freemium | [Vergleichen](https://openaitools.app/de/compare/lune-vs-paperguide) |
| [SciSpace](https://openaitools.app/de/tool/scispace) | 4.464.111 | Freemium | [Vergleichen](https://openaitools.app/de/compare/lune-vs-scispace) |
| [Paper Digest](https://openaitools.app/de/tool/paper-digest) | 97.202 | Freemium | [Vergleichen](https://openaitools.app/de/compare/lune-vs-paper-digest) |
| [Jenni](https://openaitools.app/de/tool/jenni) | 1.498.133 | Freemium | [Vergleichen](https://openaitools.app/de/compare/jenni-vs-lune) |
| [Elicit](https://openaitools.app/de/tool/elicit) | 1.751.507 | Freemium | [Vergleichen](https://openaitools.app/de/compare/elicit-vs-lune) |

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Quelle: https://openaitools.app/de/tool/lune