Our take
Benqi
Benqi stands as an established decentralized finance protocol built specifically for the Avalanche ecosystem, coupling an on-chain liquid staking module with algorithmic money markets. By staking AVAX to receive sAVAX, token holders participate in network consensus validation while retaining liquid tokens that can be deployed into decentralized lending pools or broader decentralized finance strategies. The architecture eliminates centralized intermediaries, relying instead on autonomous smart contracts and external price oracles.
This design delivers notable utility for self-custody participants comfortable managing Web3 wallets and network transaction fees. However, this flexibility requires managing protocol-level risks, including smart contract exposures, variable borrowing rates, and automatic liquidation mechanisms when collateral ratios drop. Benqi serves as a functional DeFi primitive for Avalanche users, provided participants accept the inherent operational and market risks of non-custodial smart contracts.
Dune Analytics
Dune Analytics serves as a central data layer for blockchain market intelligence, enabling analysts and crypto operators to query raw and decoded on-chain records using standard SQL syntax. The platform stands out by transforming complex transaction logs across dozens of networks into structured tables that can be assembled into interactive charts and public dashboards. Users who need visibility into decentralized finance protocols, token velocity, liquidity migration, and NFT volume can inspect underlying contract events directly.
For individual researchers and community contributors, the free tier offers wide data access, provided queries and dashboards remain public. Teams requiring proprietary research, commercial API consumption, higher query concurrency, and automated data exports must budget for paid monthly subscriptions where seat costs and credit usage scale quickly. Dune delivers deep technical capability, though its value depends on your in-house SQL fluency and workflow architecture.