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About Caesar
Caesar is an AI research platform for crypto and scientific questions, offered as a web Q&A interface, a developer API and a compute unit priced by reasoning time. General models tend to produce unsourced conclusions on protocol risk or token mechanics; Caesar splits an answer into retrieval, reasoning and synthesis and binds each claim to a clickable source spanning onchain data, governance forums, audit reports and papers. It draws on data providers such as Messari and Nansen plus LayerZero messaging so results can be called by other agents through an interface, and reports benchmark scores as evidence of quality.
It occupies the orchestration layer between data vendors and AI agents: aggregating sources below, exposing research as an API above, which verifiable agent infrastructure such as Warden can query. Output quality tracks the coverage of retrievable public sources, and private offchain data or undisclosed internal protocol information never enters the index.
Caesar's development trajectory centers on its evolution from a research assistant into a deep agentic exploration framework. A key milestone is the release of its architecture paper (arXiv:2604.20855), which introduced graph-guided deep web traversal combined with adversarial artifact synthesis, achieving 13–23% improvements over state-of-the-art research agents in creative synthesis benchmarks. This established the technical foundation for treating the web as a dynamic knowledge graph rather than flat search results.
Another significant node is the open-source release of the caesar-agent repository, making the core system publicly available and enabling community contributions to its exploration and refinement loops. This marked the transition from proprietary research to an accessible framework.
Additionally, Caesar's partnership with Centrifuge to bring legally issued shares onto public blockchains via SEC-registered transfer agent infrastructure represents a long-term strategic step toward onchain equity, extending its relevance beyond research into financial infrastructure.
On February 21, 2026 Caesar shipped a research interface for AI agents: a single install command, no account required, $15 of free API credit for new users, with higher tiers gated by holding the CAESAR token. The product has two layers, the Ask Caesar front end for people and the Caesar API, described as a research layer for intelligent systems, applications and agents, returning cited conclusions rather than raw data feeds.
That splits work with the infrastructure players of the same period: Messari, DefiLlama and ReadyAI compete over which clean source an agent pulls from, while Caesar competes to be what an agent calls when it wants an answer, doing synthesis and sourcing in one step and publishing benchmarks on Humanity's Last Exam. For trading desks and research teams the value is stitching on-chain and off-chain evidence into auditable paragraphs, cutting model invention.
Caesar widens agent use cases and citation coverage, tiers pricing through the token gate, and exports structured research into wallets, trading terminals and analytics platforms.
Mark McKenzie — Founder; serial entrepreneur who previously co-founded Spark and Megapont, and led data and AI work at Vizibl and Arcarta.