# DefiLlama fees — X 热门讨论 (2026-09-24 05:45 UTC)
## @Nick_Researcher (Nick Research) · 09-24 04:53 · ♥33 ↻6 💬8 ➥ top protocols building AI analysts for all
the first 2 tools are most important to aid my research flow with real-time and precise data
for context, AI analysts are becoming one of the most practical applications of AI in finance
they will not eliminate the research edge
but they will remove much of the operational gap between an independent researcher & a professional research desk
these are the 3 i’m equiped:
[1] @artemis AI Analyst [2] @DefiLlama LlamaAI [3] @SoSoValueCrypto AI Socrates
i’ve personally used Artemis and LlamaAI the most
i use LlamaAI at the start of my research flow
it helps me screen protocols, compare competitors, and quickly check changes in TVL, rev, vol, fees, stablecoin supply, or market share
instead of opening ten dashboards and manually building a table
now i can first ask a specific question, identify what changed, and decide whether the signal deserves deeper research
i use Artemis when the thesis requires more context
for example, onchain activity alone cannot explain how Robinhood Chain may affect Robinhood’s earnings
i also need txn rev, company guidance, public-market comparisons, and broader financial conditions
Artemis is useful for connecting those layers in one workflow
i’m still exploring Socatis, mainly as another source for macro context, market trends, and cross-checking my initial view
the benefit is not limited to saving time, these tools can help people: - turn a broad idea into a testable research question - compare protocols using consistent metrics - find changes that are easy to miss across dashboards - connect crypto activity with macro and public markets - build charts, reports, decks, and financial models - challenge a thesis before publishing or allocating capital
i still verify important figures against primary sources
AI can retrieve and organize the evidence, but it cannot decide which metric matters, whether the data is comparable, or what the market has already priced in
that is why i think AI analysts expand access without removing the edge
the edge shifts from finding data to asking better questions, checking the evidence, and forming an original view https://x.com/Nick_Researcher/status/2102984833245020645