Lune

Comparisons

Lune vs Inquisite

Inquisite searches more than 100 million papers semantically, shows how they relate, and runs on a model key you supply. Lune covers far less and reads all of it, then hands the text to whatever agent you already use.

Install the connectorSee pricinginquisite.ai

Start with the one you should not buy from us

If the first list is you, take Inquisite.

Choose Inquisite if

  • You want a wide semantic sweep with filters on year, citations and open access.
  • You already pay for model access and would rather bring your own key.
  • Seeing paper relationships laid out is how you explore a new area.

Choose Lune if

  • You need the sentence behind a claim, not a relevance ranking.
  • You want retrieval inside your agent rather than in a search UI.
  • Your field is one where the venues, not the volume, decide quality.

From a question to a citation

Inquisite

  1. Search 100M+ papers
  2. Filter and visualize
  3. Shortlist to read

Lune

  1. Search top-tier venues
  2. Read the full text
  3. Quote with a locator
A wide semantic sweep, or a narrow one read all the way through.

Line by line

Marks the side we think wins. We mark the ones we lose.

  • What is indexed

    Lune

    Top-tier venues, most papers in full text.

    Inquisite

    Inquisite wins this row. More than 100 million research papers.

  • Filtering

    Lune

    Venue gating, before anything is indexed.

    Inquisite

    Year, citation count and open-access filters at query time.

  • How deep a citation goes

    Lune

    Lune wins this row. A verbatim quote and its locator, per claim.

    Inquisite

    Papers surfaced for you to read.

  • Model and access

    Lune

    Lune wins this row. MCP and a CLI; your client's model does the reasoning.

    Inquisite

    A web app with your own saved API key.

  • Published pricing

    Lune

    Lune wins this row. Free, $4.99 and $9.99 a month, or $47.90 and $95.90 a year.

    Inquisite

    None published.

  • Methodology guidance

    Lune

    Lune wins this row. A corpus on peer review, ablations and venue choice.

    Inquisite

    Not offered.

Where the difference comes from

Semantic search is table stakes now

Inquisite does semantic retrieval properly: query by meaning, filter by year and citations, see how the papers relate. Lune does the same thing on its own corpus, and neither of us should pretend that is a differentiator any more.

What still differs is what the index holds. Inquisite reaches a hundred million papers at the metadata layer. Lune reaches far fewer at the sentence layer.

Finding, then proving

Search ends with a shortlist. That is a fine place to stop when a person will read the shortlist.

It is the wrong place to stop when an agent is writing the paragraph, because a shortlist gives the model nothing to quote. Lune's tools continue past the shortlist into the text, then back out with a quote and a location.

What your agent can call

  • search_papers
  • search_papers_many
  • search_related_papers
  • get_paper_fulltext
  • get_paper_citations
  • extract_from_papers
  • verify_claims
  • gather_evidence
  • list_conferences
  • get_conference_papers
  • search_research_guidance
  • get_research_guidance_doc

One connection, in Claude Code, Cursor, Codex, ChatGPT or anything else that speaks MCP. The same tools back the miniapps in the Lune dashboard.

Price

Lune

Free
$0 10 requests a day, every tool
Pro
$4.99 a month or $47.90 a year, 300 requests a day
Max
$9.99 a month or $95.90 a year, 600 requests a day
Credits
$0.99 300 extra requests, no expiry

Inquisite

Not published
Sign in bring your own API key

Inquisite does not publish plan pricing on its site. Prices move; treat this as a snapshot, not a quote.

What we read

Questions

Is Lune an Inquisite alternative?
For agent-side retrieval and claim checking, yes. For a wide semantic sweep across 100M+ papers, Inquisite covers more.
Does Inquisite connect to agents?
It is a web app that uses an API key you save. No MCP server is listed on their site.
Does Lune show paper relationships?
As tool calls rather than a picture: citation edges in both directions, and related-paper search from any paper.

Trustworthy AI for Scientific Research

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