• Customizable token price feeds sourced directly from the exchanges rather than relying on third-party providers

  • RWA price feeds for traditional financial assets like stocks, commodities, and more.

  • Verifiable random numbers through drand’s distributed randomness beacon.

  • Transparent and collateral-proofed price feeds for illiquid assets such as LSTs.

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Features

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.