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    1. Topics
    2. The-state-of-on-chain-analytics-2025-from-dashboards-to-agents
    TOOLS2025年1月9日

    The State of On-Chain Analytics 2025: From Dashboards to Agents

    Section 1: Summary

    Section 1 illustration

    In 2024, if you wanted to know "How much volume did Wintermute trade on Base yesterday?", you had to write a SQL query or hope someone had built a dashboard for it.

    In 2025, you simply ask the question.

    The era of the "Static Dashboard" is over. The "Visual Analytics" model—where users stare at colorful charts hoping to find a pattern—has been replaced by Conversational Intelligence. The leading platforms have successfully pivoted from being "Data Libraries" to being "Data Search Engines."

    Our Core Thesis: The barrier to entry for on-chain insights has collapsed to zero. AI Agents have democratized "Alpha." What was once the domain of data scientists (writing complex Dune queries) is now available to anyone who can type a prompt. Consequently, the value proposition has shifted from accessing data to interpreting intent.

    Section 2: The 2025 Landscape & Evaluation Criteria

    Section 2 illustration

    The Landscape: The Death of Privacy

    The defining trend of 2025 was Automated Deanonymization.

    • The AI Labeling Boom: In 2024, labeling wallets was manual grunt work. In 2025, Large Language Models (LLMs) trained on transaction graphs began auto-labeling wallets with 99% accuracy. "Anonymous Whale" is a misnomer in 2025; if you have on-chain history, the AI knows who you likely are.
    • Conversational Interfaces: Every major platform launched a "Chat with Data" feature. The user interface (UI) of 2025 looks less like a Bloomberg Terminal and more like ChatGPT.
    • The "Intel" Economy: Information is now a liquid asset. Platforms created marketplaces where users trade labels and forensic reports for stablecoins.

    The Criteria: Speed & Context

    We evaluated the winners based on Cognitive Load Reduction.

    1. Natural Language Proficiency: Can the tool answer complex questions ("Show me all wallets that bought PEPE before the Elon tweet") without hallucinating?
    2. Entity Coverage: What percentage of active addresses are labeled? (The industry standard is now >60%).
    3. Real-Time Latency: Does the AI alert you as the block is mined, or 10 minutes later?

    Section 3: The Winners Circle (Detailed Analysis)

    Section 3 illustration

    The Market Leader: Arkham Intelligence (The "Google" of Crypto)

    Archetype: The Search Engine. 2025 Verdict: The default homepage for investigators.

    Arkham won 2025 by doubling down on the "Intel-to-Earn" model. They didn't just build a tool; they built an economy.

    • The Good: "Arkham Oracle." Their AI update in Q2 2025 allowed for recursive searching. You can ask, "Find all wallets connected to Alameda that have moved funds in the last 24 hours," and it traces the graph instantly. The "Intel Exchange" became the primary venue for sleuths to monetize hacks, effectively crowdsourcing security.
    • The Bad: The Panopticon. Arkham has been criticized for creating a "Glass House" environment. Their aggressive doxxing of private individuals (not just scammers) raised ethical concerns in the EU, though it didn't slow their growth.
    • 2025 Data Verdict: 400 Million labeled entities. Daily Active Users (DAU) surpassed Etherscan for "deep dive" queries.

    The Innovator: Nansen (The "Analyst" in Your Pocket)

    Archetype: The Behavioral Expert. 2025 Verdict: The Smart Money tracker.

    While Arkham focuses on "Who is this?", Nansen focuses on "What are they doing?". Nansen's "Smart Money" labels remain the most respected signal in the industry.

    • The Good: "Nansen Signals AI." In 2025, Nansen stopped asking you to look at dashboards. Instead, their mobile app pushes proactive notifications: "Three 'Smart DEX Trader' wallets just opened positions in [Token X]. This fits the pattern of a pre-breakout accumulation." They successfully pivoted from a research tool to an active trading companion.
    • The Bad: Pricing. Nansen remains a premium product. Their "Alpha" tier is priced out of reach for retail, creating a two-tiered market where institutions get the signals minutes before the public.
    • 2025 Data Verdict: "Smart Money" alerts generated a documented 35% win-rate improvement for subscribers vs. the market baseline.

    The Specialist: Dune (The "AI-SQL" Hybrid)

    Archetype: The Data Lake. 2025 Verdict: The builder's backbone.

    Dune faced an existential threat from AI: "Why learn SQL if AI can do it?" Dune's response was brilliant. They integrated AI into the SQL workflow.

    • The Good: "Dune Echo." This natural-language-to-SQL engine became flawless in 2025. It allows non-technical users to generate complex dashboards by simply describing what they want. However, unlike pure chat bots, Dune still exposes the underlying code, allowing verifyability. It remains the single source of truth for protocol metrics (TVL, User counts).
    • The Bad: Latency. Dune is still an analytics tool, not a trading tool. The data is often minutes behind the chain tip, making it useless for sniping but essential for macro analysis.
    • 2025 Data Verdict: 90% of all Governance Forum proposals in 2025 cited Dune data as their evidence base.

    Section 4: The Graveyard & Critical Risks

    Section 4 illustration

    The Graveyard: "Visual-Only" Explorers

    Generic block explorers that only offered raw lists of transactions (Tx hashes) saw their traffic plummet. Sites that didn't integrate "AI summaries" of transactions became obsolete. Why? Because reading raw hex data is painful. Users now demand "Human Readable" transaction summaries (e.g., "User swapped 5 ETH for USDC," not "Function Call 0x4e2...").

    The Elephant in the Room: AI Hallucinations

    The biggest risk in 2025 is False Positives. We observed multiple incidents where AI tools incorrectly flagged innocent wallets as "Sybil Attackers" or "Sanctioned Entities," leading to those users being blocked from frontends.

    Key Insight: When Code is Law, an AI labeling error is a sentence without a trial.

    Section 5: Outlook 2026

    Analytics_S5_Predictive

    As we look toward 2026, the next frontier is Predictive Analytics.

    Current tools tell you what happened. The 2026 generation will tell you what will likely happen. We are already seeing alpha versions of "Simulation Agents" that predict protocol liquidity crunches before they occur.

    Next Step for Investors: Stop using raw Etherscan. It's like reading the Matrix code. Sign up for a free tier of Arkham or Nansen and set up "Smart Alerts" for the protocols you hold. Information asymmetry is the only edge left; ensure you are on the right side of it.

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