Onchain analytics platforms turn raw blockchain data into queryable tables, dashboards, and metrics. The category sits between the node layer (where blocks and transactions live) and the workflow layer (where analysts, traders, and product teams need answers). In 2026, six platforms dominate that middle: Dune Analytics, Nansen, Artemis, Allium, Token Terminal, and DeFiLlama. Each has a different center of gravity. This guide explains how each platform sources, models, and surfaces onchain data, where each one fits, and what to look at when choosing.
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The choice matters because blockchains emit a lot of low-level signal but few useful facts. A USDC transfer on Base is a transaction with logs; the fact that it was a payroll batch from a fintech treasury is an inference layered on top. Different platforms make different inferences. Picking the wrong one means you get either too much raw data or labels you cannot trust.
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An onchain analytics platform ingests blockchain data — blocks, transactions, logs, traces, state — and exposes it through a user-facing layer. The user layer is usually one of three things: a SQL editor (Dune, Allium), a labeled dashboard with wallet tags (Nansen, Arkham), or a curated metrics product (Artemis, Token Terminal, DeFiLlama). Some platforms combine layers.
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The pipeline is consistent across vendors. Nodes export raw data, an indexer decodes ABIs and joins logs to tables, an enrichment layer adds labels (entity tags, prices, USD values), and the front end serves it. Where platforms differ is which chains they cover, how fresh the data is, what labels they trust, and whether you can drop into SQL.
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Coverage in 2026 spans roughly 100 chains across the top platforms. Dune covers 100+ chains with full transaction and event data. Allium covers similar breadth on a managed warehouse. Artemis tracks ~75 chains at the metric level. Nansen covers 25+ chains with deep wallet labeling. DeFiLlama spans 350+ chains for TVL and protocol metrics — the widest coverage but the shallowest data model.
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The technical stack underneath a modern onchain analytics platform has four layers.
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Ingest. Archive nodes export blocks and receipts. For EVM chains, this means JSON-RPC pulls or direct geth/erigon snapshots. For Solana, it's the Geyser plugin or RPC. For non-EVM chains (Bitcoin, Cosmos, TON, Tron, Stellar, Aptos, Sui), each has its own export path. Ingest is the unsexy part of the stack and the part vendors compete on least visibly — but it determines latency and reliability.
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Decode. Raw logs are encoded against contract ABIs. A Uniswap v3 Swap event is just bytes until decoded. Dune maintains a community-maintained spellbook for decoding. Allium runs a managed decoding pipeline. The quality of decoded tables (Transfer, Swap, Mint, Burn) determines whether SQL queries produce trustworthy outputs.
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Enrich. The enrichment layer adds labels. A wallet address becomes "Binance hot wallet 14" because someone — a vendor analyst or a community contributor — tagged it. Token transfers gain USD values from a price oracle. Smart contracts get protocol associations. Nansen's edge is here: its 300M+ labeled addresses drive its Smart Money product.
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Serve. The front end. Dune is a SQL editor with charting. Nansen is a labeled dashboard. Artemis and Token Terminal are metric directories. DeFiLlama is a TVL leaderboard with a public API. Same data underneath, different surfaces.
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The category splits into four functional types. The right platform depends on which type matches the question being asked.
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SQL-native platforms expose decoded blockchain data as tables and let users write arbitrary queries. The model is "give analysts the warehouse, let them build." Dune is the largest by user count. Allium is the enterprise variant — same SQL surface, managed pipeline, hosted on Snowflake or BigQuery.
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Strength: full flexibility. Any question expressible in SQL is answerable. Dune's public dashboards (over 1M queries published) cover everything from MEV to NFT royalties. Weakness: SQL skill is required, and label quality varies by community. For more on building dashboards in this category, see our Dune Analytics tutorial.
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Labeled-dashboard platforms hide the SQL layer and surface pre-built views. Nansen is the leader. Arkham Intelligence is a comparable competitor. The product is a dashboard where addresses are not 0x... strings but "Justin Sun" or "Coinbase Custody" — labels generated by a mix of public sourcing, behavioral inference, and proprietary research.
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Strength: zero SQL required. A trader can see "Smart Money is rotating into Base" without writing a query. Weakness: labels are opinions. Two analysts might disagree on whether a wallet is "Smart Money" or just "active". For a deeper look at how Nansen's labels work, see our Smart Money tracking guide.
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Curated metrics platforms maintain a finite set of high-quality metrics — fees, revenue, active addresses, TVL — across protocols and chains. The user can't write arbitrary queries; they pick from a menu. Artemis and Token Terminal sit here. Artemis emphasizes chain-level economic data. Token Terminal emphasizes protocol-level financials with public-equity-style framing (P/S ratios, revenue multiples).
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Strength: no methodology debate. Each metric has a documented definition. Weakness: rigid schema. If the question doesn't fit one of the prebuilt metrics, the platform can't answer it.
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Public aggregators publish dashboards and APIs without paid tiers (or with thin paid tiers). DeFiLlama is the leader. The product is open data: TVL, stablecoin supply, DEX volumes, fees, raises. The DeFiLlama public API is widely used by other dashboards (most "TVL" charts you see elsewhere are DeFiLlama under the hood).
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Strength: free, open, broadly trusted. Weakness: shallow data model. You see TVL; you don't see the wallet-level flows that produced it.
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The six platforms positioned by data type, user type, and pricing model.

The choice reduces to three questions.
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Does the work require SQL? If yes — and the team has SQL skill — Dune (community) or Allium (enterprise) is the right surface. Both expose the full decoded warehouse. Custom dashboards, novel metrics, and ad-hoc analysis live here. If no, a curated platform is faster.
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Is the question about wallets or about protocols? Wallet-level questions ("which whales are accumulating $TOKEN") need Nansen or Arkham. Protocol-level questions ("how much fee revenue did Aave generate in Q1") need Token Terminal or Artemis. Chain-level questions ("which L2 has the most stablecoin TVL") need Artemis or DeFiLlama.
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What's the budget? DeFiLlama is free and answers most TVL questions adequately. Dune's free tier handles light SQL workloads. Nansen Standard at $99/month covers most retail trader needs. Allium and Nansen VIP are enterprise spend. The price gap between $99/mo (retail) and ~$2,000/mo (institutional) reflects different label depth, API access, and SLA.
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Three patterns recur across teams that integrate onchain analytics.
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Treasury monitoring. Stablecoin issuers, DAOs, and corporate treasuries track their own onchain balances and flows. The shape: a few hundred labeled wallets, a few dozen protocols, daily reconciliation. Allium and Nansen Portfolio handle this. Custom Dune dashboards too — Lido's treasury dashboard is a public reference.
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Trading research. Quant funds and traders watch Smart Money flows, MEV, liquidations, and large transfers. Nansen's Smart Money tags drive a lot of this. Dune queries against decoded DEX tables (Uniswap, Curve, PancakeSwap) cover the rest. Trading research often pairs onchain platforms with offchain data (CEX order books, social signal).
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Protocol analytics. DeFi teams instrument their own protocol — daily active users, fees, inflows, outflows, retention. Token Terminal hosts the standardized version. Custom Dune dashboards cover the team-specific version. DeFiLlama's protocol pages are the public-facing version.
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Onchain analytics looks objective — it's all on a public ledger — but the analytics layer is opinionated.
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Labels are inferences. "Smart Money" on Nansen means addresses that meet specific criteria (PnL, holding patterns, return profile). The label is reproducible if you know the rule but not "true" in any absolute sense. Different platforms label the same address differently.
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Prices come from oracles. A USD-denominated transfer chart depends on a price feed. Dune uses Chainlink and Pyth feeds where available. DeFiLlama maintains its own price service. For thinly traded tokens, USD values can be noisy.
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Cross-chain accounting is hard. A USDC transfer across CCTP looks like two transactions (burn on origin, mint on destination) until a platform stitches them. Stablecoin supply tracking requires careful handling of bridges, attestations, and native vs wrapped variants. Allium publishes explicit cross-chain stitching tables; many platforms don't.
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Latency varies. Real-time platforms (Nansen, Allium streams) update within seconds. Most dashboard platforms are 1–10 minutes behind chain tip. DeFiLlama TVL updates hourly. For trading, latency matters; for research, it usually doesn't.
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Six platforms cover the core market, but a few specialists deserve mention.
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Arkham Intelligence. A direct competitor to Nansen. Arkham launched a public bounty marketplace in 2023 where users earn ARKM tokens for labeling addresses. The result: broader coverage on individual entities (founders, whales, wallets connected to news events), thinner coverage on Smart Money signals. Pricing tiers below Nansen — free with paid upgrades.
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Chainalysis. Compliance-first. Used by exchanges, banks, and government agencies for AML and sanctions screening. The product is risk scoring, not trader analytics. Reactor is the investigation UI; KYT is the API for transaction screening. Pricing is enterprise-only.
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Glassnode. Bitcoin- and Ethereum-native metrics — UTXO age, supply distribution by holder cohort, MVRV ratios, on-chain valuation models. Aimed at macro investors, not DeFi analysts. Pricing ranges from free metrics to $799/month for the Pro tier.
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Messari. A research and data hybrid. Curated reports and dashboards with a focus on token-by-token deep dives. The data layer is thinner than Artemis or Token Terminal but the editorial layer is heavier — Messari publishes formal research reports.
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Most teams don't subscribe to all of these. The typical stack is one core platform (usually Dune for SQL teams or Nansen for trading teams) plus DeFiLlama as a free reference plus one specialist for the team's niche.
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Onchain analytics platforms describe what already happened. Eco operates one layer down — at the execution layer, where stablecoin transfers and swaps actually settle across chains. Teams that move stablecoins at scale typically pair the two: Eco for execution (route, settle, reconcile), an analytics platform for visibility (dashboards, alerts, monthly reporting). The reconciliation tables produced by execution show up in analytics dashboards a few minutes later. For background on how stablecoin flows are tracked, see our stablecoin onchain analytics guide.
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DeFiLlama is the most accessible — free, no sign-up, broad coverage. For wallet tracking, Nansen's free tier exposes basic Smart Money flows. For SQL learners, Dune's free plan and large public-dashboard library work well. Pick the type that matches the question first; advanced features come later.
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Dune offers a free tier with limited query credits and 10-minute refresh delays. Paid plans (Plus at $399/month, Premium at $999/month as of 2026) unlock faster queries, larger result sets, private dashboards, and CSV export. Most casual users stay on free.
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Allium is built for this — it pipes decoded blockchain tables into Snowflake, BigQuery, or Databricks. Dune offers CSV exports on paid plans and a query API. Most other platforms expose REST APIs, not warehouse drops. For production data engineering, Allium is the path of least resistance.
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Labels are inferences with varying provenance. Exchange hot wallets are well-labeled (the exchanges sometimes confirm). Smart Money labels are rule-based and reproducible. Anonymous individual labels are weakest. Always check the label methodology before treating a tag as ground truth.
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TVL (total value locked) is the USD value of assets sitting in a protocol at a given moment — a stock measure. Volume is the USD value of transactions flowing through over a period — a flow measure. TVL describes scale; volume describes activity. DeFiLlama publishes both for major protocols.
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