ChainSight has announced a complete overhaul of its infrastructure, aimed at giving users more flexibility in how they create, manage and trade onchain indices. The updates affect nearly every part of its stack, from index construction and pricing to execution and rebalancing.
At the centre of the upgrade is the Advanced Indexer, which is being developed into what the team now calls an Index Engine. This engine will allow users to create custom index baskets, automate how assets are weighted, and set rebalancing rules based on time, volatility, or thresholds. These rules can then be published directly onchain for transparency and verifiability.
ChainSight is also broadening its data sources. Its MultiSource Oracle is now integrating pricing information from Chainlink, Pyth Network, and native feeds. Plans are in place to include additional market data like volume, market cap and total value locked, which would give index logic more accurate and adaptable inputs.
Another addition is the Cross-Chain Reader. Designed to provide price, liquidity and position data across ecosystems, the reader supports Ethereum Virtual Machine (EVM) chains, Solana, and Move-based blockchains such as Aptos. With this feature, users can build indices that operate with a cross-chain view, apply filters based on total value locked across multiple chains, and maintain a unified portfolio readout.
Execution is handled with threshold signing, removing the need for multisigs or bridges and aiming to reduce central points of failure. Whether it’s rebalancing tokens on Uniswap v4 or updating oracle feeds on Arbitrum, these operations are designed to be seamless and decentralised.
Several sample indices are already in the works. These include:
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CS-MEME10: A top ten index of meme tokens
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CS-CVIX: An implied volatility index using data from options feeds
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CS-AW50: A mix of blue-chip tokens and tokenised gold
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CS-TVLP: A screen based on the ratio of total value locked to market cap
These indices aren’t theoretical. They’re built, signed, and streamed onchain using ChainSight’s infrastructure.
The project positions itself as a backend for building financial tools, not just a feed provider. By enabling historical data access, onchain execution, and programmable control over how indices are created and rebalanced, ChainSight is offering a more hands-on approach to index-based strategies in decentralised finance.
The framing is clear: if DeFi moves towards index products in the same way traditional finance has, then infrastructure like ChainSight’s could play a major role in that shift — letting builders go from concept to execution without intermediaries.
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