//Use case · Science research

Review the whole field, not one index at a time

One plain question and your agent searches scholarly indexes, code registries and model hubs live: key papers, citation graphs and project health.

Key papers on LLM hallucination detection from the last 2 years, ranked by citations. — LLM hallucination detection. Which labs publish most on this, and what are the open problems? — Labs and open problems. Compare the health of these 4 vector databases: commits, issues, releases. — Vector database health. Write a one-page summary for the lab meeting. — Summary for the lab meeting
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//Before and after

A literature review from this morning’s papers

Learn five query languagesRemove duplicates by handCite a survey from last year
The old way

Index hopping and old surveys

Key papers on LLM hallucination detection, last 2 years.
⏺ anysite · execute
Consistency checks for LLM answers2023 · EMNLP
Fact scoring for long-form text2023 · EMNLP
A hallucination benchmark, v22024 · arXiv
With Anysite

Key papers, ranked

//What your agent does

Four research jobs for your agent

Every result traces back to the record it came from.

Survey the literature

Every major index in one search.

OpenAlexPubMedarXiv

Walk citations

Who built on what, forward and back.

CrossrefSemantic Scholar

Check software health

Commits, issues and releases side by side.

GitHubnpmPyPI

Map model releases

What shipped and what users complain about.

Hugging FaceHacker News
//How it works

Connect the agent you already use01Brief it like a research assistant02Get records ready for your review03

//Sources

Indexes and registries this job runs on

//Q&A

Questions before you start

OpenAlex, PubMed, arXiv, Crossref and Semantic Scholar, plus code registries and model hubs like GitHub and Hugging Face when the question is about software. If your field leans on one index, ask your agent to search only that one.

Each number comes from the index itself, and each result links to its record. The indexes disagree on citation counts, so use them to rank, and check which index a figure came from before it goes into a paper.

No. Anysite gets your agent the records. Screening, inclusion criteria and synthesis stay with you, and results go into the sheet or reference tool you already use.

Yes. The schedule lives in your agent, for example a scheduled task in Claude. On each run it asks Anysite for new records and posts them to Slack or a sheet.

MCP plans are a flat monthly price from $30, not a subscription per index. Usage runs in rolling windows; when a window is full, calls pause until it resets. Higher tiers have larger windows. In your own code, the API starts at $49 a month. Both entry plans come with a 7-day free trial, enough to run a real review.

Ask your agent for the key papers in your field