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Best AI source finders for academic use, compared

Blog post from Exa

Post Details
Company
Exa
Date Published
Author
Exa Labs
Word Count
1,402
Company Posts That Month
8
Language
English
Hacker News Points
-
Post removed?
No
Summary

AI source finders streamline academic research by searching scholarly databases and the web for material supporting a topic or draft, summarizing relevant sources, and generating formatted citations, though users must verify every result. The comparison covers Exa, Sourcely, JotBot, Consensus, Elicit, Perplexity, and Scite, which differ in their source coverage, citation capabilities, free allowances, pricing, and specialized features such as consensus measures, sentence-level citations, source chat, and citation-context analysis. Exa searches a dedicated index of roughly 350 million publications alongside the open web and offers APIs that return supporting passages and publication metadata, allowing developers to build source-finding tools for claims, longer drafts, and structured research tasks. The guidance emphasizes confirming that cited works exist, reading the exact supporting passage, checking whether findings have been challenged or retracted, and reviewing citation formatting against the required style guide.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
AI Agents 2 5,609 1,414 272 -6%
MCP 2 10,589 923 216 +14%
Exa Connect 1 8 8 1 0%
LLM 1 6,030 1,165 243 +15%
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