An AI research analyst that reads the papers past the abstract
It reads the full papers, past the abstract, and writes a synthesized brief with inline citations, source links, and contradictions flagged.
Hand it a question and get back a synthesized brief with inline citations, source links and the contradictions flagged.
What a literature scan actually costs you
A proper scoping review eats a week before you've written a word. You query Google Scholar, Semantic Scholar and PubMed separately, dedupe the overlap by hand, and open forty PDFs. By the third paragraph half turn out paywalled or off-topic. By the time the reference list is built, the question you started with has drifted.
The agent runs the searches across the databases you name and opens the full text it can reach. It reads past the abstract, into the methods, the sample size, and the limitations the authors buried in the discussion. Then it writes a brief stating what the literature agrees on, where the findings conflict, and which claim rests on a single underpowered study. Every sentence carries a citation back to its source.
It works the way you'd want a careful RA to work:
- Searches multiple sources for one question, then merges and dedupes the hits into a single list
- Opens JS-heavy journal pages and preprint servers and reads the page itself, beyond the search snippet
- Pulls structured data straight from an API (OpenAlex, Crossref, a dataset endpoint) when a search box won't do
- Tracks every source in a Google Sheet with DOI, year and the finding it supports, so the bibliography builds itself
- Flags where two papers contradict each other and keeps both findings visible
Every DOI and quote comes from a page it opened. When the full text is out of reach, it says so and tells you what it worked from, and that's why you can keep trusting it.
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Frequently asked questions
Which databases can it search?
Anything reachable on the open web, including Google Scholar, Semantic Scholar, PubMed, arXiv, bioRxiv and SSRN, plus any source with a public REST API like OpenAlex or Crossref. For an API behind a key, you give it the key once and it authenticates on every call.
Can it get past paywalls?
No. It reads open-access full text, preprints and abstracts. When the full paper is paywalled it tells you it worked from the abstract and metadata, so you know exactly what's behind each claim.
Will it make up citations?
No. Every reference traces to a page it actually opened, with the link in the brief. If it can't verify a DOI or a quote, it flags the gap. You can spot-check any line against its source.
Can it keep watching a topic over time?
Yes. Tell it to re-run a search every week or month and it will, emailing you only when a new paper changes the synthesis. The reference sheet updates with each run.
What format does the brief come in?
A synthesized write-up with inline citations in chat or email, a linked reference list, and a Google Sheet of every source with DOI and year. It can also generate a formatted DOCX or a PDF report if you need something to circulate.
How much does it cost?
Start with a 7-day free trial. Full access, no card needed. Then $49 per month. Setup takes about four minutes: name the agent, tell it which databases you lean on, and ask your first question. It's in public beta.
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One research agent that searches, reads and cites. Point it at the sources and questions your field cares about.
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