Introduction to Nexus
Nexus is an efficient and flexible oracle solution, designed to cater to the growing cross-chain needs of dApps
Nexus is an efficient and flexible oracle solution, designed to cater to the growing cross-chain needs of dApps
Nexus is an efficient and flexible oracle solution, designed to cater to the growing cross-chain needs of dApps. Nexus collects first-party granular market data from various exchanges, eliminating reliance on third-party data providers. It processes raw trade data into reliable price feeds using transparent computational methodologies, tailored to meet diverse user needs. These feeds are published via API and pushed on-chain using oracle smart contracts, supporting all major L1/L2 blockchains.
DIA Nexus is composed of three main stages, each critical to ensuring the accuracy, reliability, and accessibility of your data.
| Step | Description | Learn more |
|---|---|---|
Data Sourcing | A mechanism that fetches granular market data (trade ticks) from a broad range of on-chain and off-chain exchanges, including CEXs and DEXs, through scrapers. These scrapers are integral in the creation of resilient price feeds for assets across all networks – there is no reliance on third-party premium data providers. | |
Data Computation | Nexus employs transparent computational methodologies to process raw trade data into reliable feeds. From outlier cleansing filters to sophisticated pricing techniques, Nexus' computation system can handle diverse requirements. | |
Delivery, Usage | Upon the creation of a price feed, it is published via API endpoint. This data feed then gets pushed on-chain, in oracle smart contracts. A decentralized network of nodes takes on the responsibility of pushing oracle data on-chain, currently servicing all major L1/L2 blockchains. |
Complex computation
More compute-intensive methodologies can be used. More trades are leveraged for the computation of the final output.
Economical to use
Few on-chain transactions and gas costs are utilised for the creation of the final oracle data.
Fast integration for VM
Oracles can be quickly deployed in any env. (WASM, EVM or other) thanks to its chain-agnostic architecture.
Off-chain/on-access paths
Besides oracles, data can be access off-chain via Rest APIs and GraphQL for more flexibility.
Fast - from source to feed
Trade data is quickly (<30s) processed into feeds. Requiered for certain on-chian use cases.
Historica data avail.
Oracles deliver historical data up to 1 month off-the-shelf. Longer windows can be set up on demand.
Ready to start building? Request a custom oracle for your dApp or learn how to access data.
Request an oracleData delivery, usage