If you are just trying to get started with our price feeds, see the self-contained code snippets below. If you’d like to use more advanced oracle functions please see the further information below. You can find a full sample data feed consumer contract here and the full Oracle interface specification is available here.
For some assets such as liquid staking tokens, it’s actually more relevant to use the conversion rate rather than the market price given the liquidity is often poor for these assets.
To use this special aggregation method, the base token first needs to be associated to a vault address which follows the ERC4626 standard.
Alternatively, we implemented a specialized conversion rate feed that automatically calculates the conversion rate for specific feeds. Calling these feeds follows a process similar to retrieving spot BTC/USD prices.
The simplest function that aggregates all data into a median for a given data type.
Inputs
data_type: enum of the data type you are requesting (See DataType structure). By providing the enum data type, you also provide the pair id (for spot entries), or the pair id and the expiration timestamp (for futures).
Returns
A PragmaPricesResponse struct containing:
price: aggregation result using robust median algorithm (multiplied by 10**decimals)
decimals: number of places value has been shifted
last_updated_timestamp: timestamp of most recent entry
num_sources_aggregated: number of sources in final answer