Ai2 Asta vs scite: pricing, features and which to choose

Ai2 Asta is a web-based scientific research assistant from the nonprofit Allen Institute for AI, launched publicly in 2025. Ai2 describes Asta as part of a broader initiative to build trustworthy agents for scientific work. The service combines scholarly search, cited report generation, dataset analysis, automated discovery, and theory generation. Its product page says the literature index includes more than 108 million abstracts and 12 million full-text papers. Asta targets researchers, students, analysts, instructors, and science communicators rather than general-purpose writing users. Ai2 does not publish funding figures, a founding date for the product, or a separate corporate entity for Asta. The hosted service runs on the web, and signed-in users can preserve questions and results.

Asta puts several research tasks into one browser workflow. Find papers searches its scholarly index, while Generate a report produces a cited synthesis that users can inspect and extend. Analyze data accepts structured files and returns explanations, visualizations, copyable code, assumptions, statistical tests, and a methods section. Follow-up prompts add analysis to the report while retaining prior work. AutoDiscovery runs experiments designed to surface patterns, and Theorizer retrieves source papers before generating candidate theories. Ai2 says theory runs usually take 20 to 30 minutes, while comprehensive runs can exceed an hour. Users must read the cited papers and check each claim because a generated theory is a research lead rather than a verified conclusion.

Asta's main limitation is the review burden attached to its most ambitious outputs. Ai2 says generated theories are not necessarily true, and its FAQ reports that about half of predictions had a later paper available for checking. Hosted users should avoid uploading sensitive or regulated datasets. Ai2 says raw datasets are deleted within seven days and are not used for model training, while prompts and interactions may be logged unless users opt out. Semantic Scholar is better for scholarly search and metadata APIs. Elicit is stronger for structured evidence review, and Consensus focuses on fast paper-based answers. Asta covers more exploratory analysis than those products. Researchers wanting free cited literature work with small-dataset exploration should pick Asta.

scite is a scientific research platform founded in 2018 and acquired by Research Solutions in December 2023. Research Solutions announced the acquisition on November 27, 2023, and reported about 21,000 active subscribers and $3.6 million in annualized subscription value at the time. The company describes scite as a search and discovery product for evaluating research. Its defining feature is Smart Citations, which display citation statements and surrounding text, then classify later use of a paper as supporting, contrasting, or mentioning. That makes scite more useful than a citation count when a researcher wants to assess how a finding has been received. The product remains available under the scite name.

A typical workflow begins with a keyword or natural language search. Users open a result, inspect the statements that cite it, and review the surrounding passages before deciding which papers deserve closer reading. Collections organize saved papers for later monitoring, while Assistant answers questions against indexed literature and uploaded documents. Search can generate Boolean queries from plain language. Alerts track new papers and citation activity, and Zotero import supports personal, group, and lab libraries. Scite also exposes datasets covering patents, grants, clinical trials, drugs, devices, and safety records. Browser and workflow integrations extend citation context beyond the main web app, although the classifications remain a screening aid rather than a substitute for reading methods and results.

scite is strongest when a literature review needs citation context, support or contrast signals, and retraction awareness. Elicit focuses more on structured extraction and systematic review tables, Consensus on evidence summaries, and Semantic Scholar on broad discovery and citation graphs. Scite can be less useful for new, lightly cited, or poorly covered work, and automated classifications need human checking. The self serve REST API also does not grant unrestricted production or commercial rights. Choose Basic for individual citation analysis and MCP, Pro for API evaluation and higher usage, or Team and Enterprise for pooled access, SSO, confidentiality, and licensed datasets. Researchers who want citation relationships rather than general web answers should pick scite.