There is something that may have struck a chord with many DeFi developers—the largest fixed monthly expense for a well-operated protocol is not hiring, but data fees.
Sounds a bit unbelievable? But this is the current situation. To ensure the accuracy and real-time nature of on-chain price data, protocols must continuously pay for oracle services. Regardless of whether the market is active or how many users there are, this "data leasing fee" must be paid. The logic of this "push" model is simple: the oracle continuously pushes data to the protocol, and the protocol pays periodically.
The question is—do we really need this?
Actually, there is an alternative. The pull-based data model completely overturns this logic. The concept is straightforward: you only fetch data when needed, pay per use, and only for what you consume. As a result, data costs shift from "fixed expenses" to "flexible expenses." For early-stage protocols or projects with fluctuating user activity, this instantly relieves cash flow pressure. Especially in a bear market, this is not just optimization—it's a matter of survival.
At the technical core, this model relies on a sufficiently large and stable data pool to support it—ensuring data resilience through hybrid verification mechanisms and price-weighted algorithms. Protocols no longer need to bear long-term fixed costs; they only pay for fresh data when actually called upon.
Changing the cost structure often means a complete reorganization of the entire ecosystem's operational logic.
View Original
This page may contain third-party content, which is provided for information purposes only (not representations/warranties) and should not be considered as an endorsement of its views by Gate, nor as financial or professional advice. See Disclaimer for details.
10 Likes
Reward
10
6
Repost
Share
Comment
0/400
AirdropHuntress
· 10h ago
Is the key to surviving the bear market really being overlooked? The data fee aspect definitely needs to be re-evaluated.
View OriginalReply0
DogeBachelor
· 10h ago
Wow, data costs are more expensive than hiring? How outrageous is this pricing?
View OriginalReply0
GateUser-5854de8b
· 10h ago
Wow, data fees are higher than labor costs? This oracle is really just harvesting the leek.
View OriginalReply0
AmateurDAOWatcher
· 10h ago
Oh wow, data costs taking up the biggest chunk is really incredible, more expensive than hiring...
Pull-based logic just sounds so much better, it's the key to surviving a bear market.
Early projects could really ease a lot of pressure if they could pay as needed.
But that data pool needs to be stable enough; otherwise, issues with price weighting could be a disaster.
That said, it still depends on whether the actual implementation can keep up; the concept is very promising.
View OriginalReply0
rugged_again
· 10h ago
Wow, oracles are actually the biggest expense. Isn't this considered a dark secret of the industry?
View OriginalReply0
screenshot_gains
· 10h ago
Another story of being drained by an oracle, wake up everyone
There is something that may have struck a chord with many DeFi developers—the largest fixed monthly expense for a well-operated protocol is not hiring, but data fees.
Sounds a bit unbelievable? But this is the current situation. To ensure the accuracy and real-time nature of on-chain price data, protocols must continuously pay for oracle services. Regardless of whether the market is active or how many users there are, this "data leasing fee" must be paid. The logic of this "push" model is simple: the oracle continuously pushes data to the protocol, and the protocol pays periodically.
The question is—do we really need this?
Actually, there is an alternative. The pull-based data model completely overturns this logic. The concept is straightforward: you only fetch data when needed, pay per use, and only for what you consume. As a result, data costs shift from "fixed expenses" to "flexible expenses." For early-stage protocols or projects with fluctuating user activity, this instantly relieves cash flow pressure. Especially in a bear market, this is not just optimization—it's a matter of survival.
At the technical core, this model relies on a sufficiently large and stable data pool to support it—ensuring data resilience through hybrid verification mechanisms and price-weighted algorithms. Protocols no longer need to bear long-term fixed costs; they only pay for fresh data when actually called upon.
Changing the cost structure often means a complete reorganization of the entire ecosystem's operational logic.