For the complete documentation index, see llms.txt. This page is also available as Markdown.
FAQ
Ordered by expected frequency, not by topic.
How is this different from calling an LLM directly?
Answers are retrieved from a scholarly corpus and every claim carries a checkable source with a page locator. Claims the model could not ground are labeled. See citation.
What is the difference between a paper and a document?
A paper is in our corpus; a document is yours. See paper and document.
When should I use search vs chat?
Search finds papers and answers across the corpus. Chat answers questions about a fixed set of sources you name. See search.
How much does a call cost?
Metered in credits, reported per response in X-Credits-Cost. See pricing-and-credits.
How long does a deep review take?
Minutes. Stream it or use a webhook. See streaming-deep-review.
Can I store the results?
Depends on the content type and licence. See content-licensing.
Do you train on my uploads?
See data-privacy.
Can I call this from the browser?
Not with a secret key. Proxy through your backend. See authentication.
Which languages are supported?
Input in 75+ languages; generated output in 24, including English, Spanish, Portuguese, French, German,
Chinese, Japanese, Korean, Arabic, Hindi, and Bengali. An unsupported language returns
422 language_unsupported.
Do you have an OpenAPI spec?
See reference-overview.
Is there a free tier?
Yes. The Developer plan is free with 500 credits a month — 100 standard searches — plus 1,000 one-off credits during public beta. Test keys have their own free 500/month. See pricing-and-credits.
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