Every DeFi user has encountered this dilemma: late at night, they discover a great arbitrage opportunity, just about to execute the trade when they check the Gas fee—and it's outrageously high. The seemingly profitable trade instantly turns into a loss. Developers aren’t spared either; after painstakingly implementing low-frequency data query logic, a sudden network congestion on a certain blockchain can cause a simple query to incur exorbitant transaction fees, trapping users.

In the blockchain world, Gas fees are like weather forecasts—you can never predict their mood, but they can completely ruin your trading experience.

If you've used on-chain data retrieval services, you should know that each call incurs two costs: one is the blockchain network’s Gas, and the other is the service node’s fee. Transparency is there, but there's a problem—Gas costs are completely uncontrollable and highly volatile.

Is there a way to smooth out this cost fluctuation? Or even provide some buffer at critical moments?

One idea worth considering is: based on real-time Gas market data from networks like Ethereum, dynamically offer limited-time discounts or subsidies. At first glance, it sounds like simple discounts, but behind it is actually a cost-aware mechanism that shares user risk.

It might work like this: when the system detects that Gas prices suddenly spike into an "exorbitant range," it automatically triggers a fee subsidy campaign. During this window, your data service call costs could be discounted or rewarded with points.

What are the benefits? First, it provides direct hedging against high-cost periods—you no longer have to suffer passively from price fluctuations; second, it encourages smarter usage habits, as users gradually learn to perform operations during cost-friendly times; finally, this risk-sharing mechanism offers more predictability for long-term users.