Dune Analytics It claims that most cryptocurrency prices displayed in wallets, dashboards, and trading apps are technically accurate but practically worthless. They rely on “observational pricing”; that is, simply record the most recently executed swap in a liquidity pool and treat it as the current market rate. according to opinions From Dune Analytics. If this exchange occurred two seconds ago or two weeks ago, this makes little difference to the price offered.
Dune Analytics He explained that the pool may be drained, liquidity may be withdrawn, or the value of the token may change significantly in the meantime.
Until another transaction occurs and is indexed, users see a historical snapshot rather than live market reality. Centralized price aggregators further compound the problem.
They introduce off-chain voting delays, latency, and a dependence on single pool reserve rates that reflect only a theoretical mid-price at zero trade size. Slippage, the actual cost of executing an order, is completely ignored.
for blue chip tokens In high volume pairs the discrepancy is small. For tokens in long-tail assets, low liquidity pools, or emerging chains, the gap between the quoted price and the executable price turns useful data into a costly liability.
Dune’s Sim in real time API takes a fundamentally different approach.
Instead of retrieving information from central feeds or caching old ones dataThe sim receives every on-chain event (swaps, liquidity additions, removals) that changes the pool state directly from the blockchain.
Pool reserves are constantly updated, even during long gaps between transactions.
This means that the price returned always reflects the current state of the pool, not its state at the time of the last exchange.
The sim models the entire decentralized exchange environment as a graph. Tokens are nodes; each liquidity pool is an edge that connects them.
To price any tokenThe sim automatically discovers the optimal path from this graph to the stablecoin.
Multi-hop routes, whether two-hops, are executed without any problems. ETH Three hops containing USDC or a chain-specific bridge token.
Cross-chain bridge liquidity is treated as another endpoint, so assets bridged between networks receive accurate pricing without the need for manual configuration.
It’s crucial that the Sim optimizes based on price impact rather than the theoretical middle price. The routing engine evaluates routes based on the lowest total slippage that would occur in a real trade and favors deep liquidity pools over shallow direct pools when they provide better execution.
Pools showing excessive slippage for meaningful transaction sizes are completely excluded. Therefore, the resulting price is the price the user can actually trade at, rather than a hypothetical figure.
Stablecoins fixing becomes equally meticulous. Instead of relying on a single reference like USDC, the sim calculates stablecoin values from the average exchange rate across all major pairs (US Dollar/USDT, USDT/DAI, DAI/USDC).
This distributed method absorbs individual debts or pool anomalies, creating a solid dollar reference that is not affected by single-point error.
Coverage is comprehensive: 65+ block chainsevery big DEX (Uniswap V2/V3, Curve, Balancer and their forks) and automatic support for new protocol launches.
Dune Analytics He pointed out that response times remain below 500 milliseconds in the 95th percentile, making the Sim suitable for real-time user interfaces.
Dune Analytics concluded that the developers who created the wallet: DeFi applications or analysis tools, token pricing is the basic infrastructure. Outdated or anti-slip prices create implementation surprises that undermine user trust. Shimmer purposes Closing this gap by offering up-to-date, slippage-sensitive and more practical prices for real price based on live on-chain reality trade.
