Agent Bayes
Agent Bayes is an AI research assistant for graduate students, postdoctoral researchers and other academics. Users add papers as PDFs or sync them from Zotero, then ask questions about their library. The agent searches those sources and builds a mindmap of claims, each linked to the passage and page supporting it. Users can open a citation to inspect the passage or PDF page, and competing findings can remain on the map as separately sourced positions. AI Verification assesses whether cited passages support a claim; the feature is included in paid plans. An MCP server lets compatible tools such as Claude Code, Codex and Cursor search the user's library and work with its cited answers and mindmaps. The free plan includes 50 credits per month, and paid subscriptions start at $11/month, billed annually.
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NeuralVerge
NeuralVerge is an AI research and data extraction platform for go-to-market, research and compliance teams, and for the AI agents they build. Ask a question in plain language or point it at a company, a person or a URL, and get back a structured answer with the source behind every field.
AI Research plans the question into sub-queries, routes them to the right sources in parallel, extracts the fields and reconciles the findings into one cited answer. AI Extract turns any page or document into clean JSON in the schema you define, with no selectors to maintain.
29 data sources sit behind one request format: company intelligence, 12 corporate registries, contact enrichment and public social profiles. Everything is available in a web app, over a REST API and as an MCP server, so analysts and agents share the same pipeline.
Pricing is points-based, from $20 per month, with no per-seat fees. No credit card is needed to try a request.
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CiteDash
CiteDash is an AI-powered research and writing platform designed to streamline the entire academic workflow by combining source discovery, analysis, drafting, and citation into a single system. It enables users to enter a research topic, essay prompt, or question, after which a multi-agent pipeline automatically searches across numerous academic databases, including sources like Semantic Scholar, PubMed, and OpenAlex, to identify, evaluate, and synthesize relevant literature into a structured draft with inline citations. It emphasizes accuracy and credibility by grounding every claim in verifiable academic sources, avoiding hallucinated references, and ensuring that outputs are traceable to real studies. CiteDash supports a wide range of academic tasks, including essay writing, research papers, literature reviews, and exam preparation, offering tools such as AI-generated notes, structured outlines, and active recall question generation to reinforce learning.
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LeapSpace
LeapSpace is a research-grade, AI-assisted workspace developed by Elsevier, designed to help academic and corporate researchers move from curiosity to discovery faster within a secure, trusted environment. It combines responsible AI with one of the world’s most comprehensive collections of peer-reviewed scientific content, including millions of full-text articles, books, and over 100 million abstracts from thousands of publishers, ensuring that every insight is grounded in verified evidence rather than unfiltered web data. It uses natural-language queries to explore complex research topics, generating structured, cited responses that allow users to review original sources and validate findings directly. LeapSpace supports the full research workflow by enabling users to generate ideas, plan projects, analyze literature, compare studies, and produce in-depth reports that highlight patterns, contradictions, and gaps in existing research.
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