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Dune Analytics now indexes Flow, covering 40 million accounts and nearly 1 billion transactions, giving analysts real‑time consumer DeFi metrics.
Dune Analytics has expanded its on‑chain data offering to include Flow, a consumer‑focused Layer 1, instantly unlocking access to over 40 million user accounts and close to one billion historic transactions [2]. The move gives developers, investors and researchers a granular view of consumer‑grade DeFi, digital collectibles and emerging AI use cases, sharpening the tools for tracking real‑world crypto adoption.
| At a glance | |
|---|---|
| Platform | Dune Analytics |
| New chain | Flow (Layer 1) |
| User accounts indexed | 40 million |
| Transactions covered | ~1 billion (5 years) |
| Catalyst | Integration of Flow data [2] |
The Flow integration brings two virtual machines—Cadence and Flow EVM—into Dune’s queryable dataset, allowing analysts to trace activity across both environments with a single tool [2]. Cadence’s resource‑oriented contracts store assets directly in user accounts, making ownership transparent at the protocol level, while the EVM layer supports familiar Solidity contracts and wallet connections such as MetaMask [2]. This dual‑VM architecture underpins a range of consumer‑centric applications, from vending‑machine NFT purchases in Japan to high‑yield savings products like the upcoming Peak Money protocol [2].
With the Flow dataset live, on‑chain metrics such as transaction volume, processing speed and TVL can be monitored in near‑real time, offering a new lens on consumer finance trends and AI‑driven smart‑contract automation [2]. The ability to analyze scheduled transactions—unique to Flow—means analysts can now assess autonomous agents that execute multi‑step processes on predetermined timelines, a capability that could reshape how DeFi risk and performance are evaluated [2]. For investors, the expanded coverage provides a clearer picture of capital flows into consumer DeFi projects, while developers gain immediate feedback on user engagement across both Cadence and EVM contracts.
Beyond commercial analytics, the integration aligns with academic efforts to improve blockchain transparency. Rochester Institute of Technology’s Vertically Integrated Project is building multidisciplinary expertise in blockchain forensics, covering transaction tracing, money‑laundering detection and victim advocacy [1]. Tools and methodologies emerging from such programs could eventually feed into platforms like Dune, enhancing the rigor of on‑chain investigations and policy research.
The Flow addition underscores a shift toward consumer‑grade blockchain analytics, offering unprecedented visibility into how everyday users interact with crypto assets. As on‑chain data becomes richer, the line between traditional finance and decentralized services will continue to blur, prompting both market participants and regulators to reassess the metrics that define adoption.
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AI-assisted synthesis by the TrendWatcher Editorial Desk · sourced from 3 outlets · Jul 12, 2026 · How we report
Key metrics include active addresses, transaction volume, exchange inflows/outflows, number of token holders, and activity of large wallets.
Nansen specializes in wallet analytics and tracking large investors, whereas Glassnode provides broad network metrics and Dune enables custom query building for DeFi data.
CryptoQuant delivers unified on‑chain and off‑chain data, pre‑built charts, high‑resolution APIs, and no‑code drag‑and‑drop analytics tools.