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Celestia Proposes Burning Blob Fees and Requiring Rollups to Stake TIA for Guaranteed Bandwidth

Saravana Kumar Mahendran by Saravana Kumar Mahendran
November 10, 2026
in Market Updates
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Celestia Proposes Burning Blob Fees and Requiring Rollups to Stake TIA for Guaranteed Bandwidth
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  • A Celestia Improvement Proposal would restructure blob fees into a dynamic, fully-burned base fee alongside a separate priority tip, modeled on Ethereum’s EIP-1559 fee structure
  • A new module would require rollups to bond TIA tokens in order to secure guaranteed data-throughput capacity over defined epochs
  • The proposal leaves key design parameters, including specific bond sizes and epoch lengths, as open questions for further community discussion

A Celestia Improvement Proposal posted to the network’s governance forum on November 7, 2026 lays out a significant restructuring of how the blockchain prices the data space, known as blob space, that rollups use to post their transaction data to Celestia’s base layer. The proposal would split the current blob fee structure into two distinct components: a dynamic base fee that adjusts with network demand and is entirely burned rather than paid to any party, and a separate priority tip that participants could pay to have their data included faster during periods of congestion.

This two-part structure closely mirrors the fee model Ethereum adopted under its EIP-1559 upgrade, which similarly splits transaction fees into a burned base fee and an optional priority tip paid directly to block producers. Applying a similar model to Celestia’s blob space would directly tie TIA’s token economics to actual network usage, since a fully burned base fee creates persistent deflationary pressure on the token’s supply whenever blob space demand pushes the base fee above zero, rather than that value simply accruing to validators as straightforward fee revenue.

Beyond the fee restructuring, the proposal introduces a second, related mechanism: a new module that would require rollups to bond, or stake, TIA tokens in exchange for guaranteed data-throughput capacity across defined time periods called epochs. This would give rollups building on Celestia a way to secure predictable blob-space access rather than relying entirely on winning space through the standard fee market each time they need to post data, a feature that could matter considerably to rollups with latency-sensitive or high-volume data needs.

The proposal is explicit that several important design parameters remain unresolved. It does not specify how large a rollup’s TIA bond would need to be to secure a given level of guaranteed throughput, nor does it define how long an epoch would last, leaving both questions open for further community input and design work before the proposal could move toward formal implementation.

Tying a modular blockchain’s native token more directly to actual data-availability demand, through a combination of fee burning and throughput-guaranteeing stake requirements, reflects a broader trend among layer-1 and modular blockchain projects seeking to strengthen the economic link between network usage and token value. The full proposal is posted on Celestia’s own governance forum.

Disclaimer: Cryip's content is strictly for educational and informational purposes and does not constitute financial, legal, or investment advice. Cryptocurrency involves significant risk, and readers assume full responsibility for their own financial decisions. Asset references are never endorsements.

To make complex crypto topics accessible to readers at all experience levels, our team uses AI tools strictly to refine language, correct grammar, and simplify terminology. AI is never used to draft facts, source information, or form conclusions. Every article is fact-checked and approved by a human editor before publication. Read our full AI Use & Content Policy.

Saravana Kumar Mahendran

Saravana Kumar Mahendran

Saravana Kumar Mahendran is a crypto security analyst and blockchain researcher at Cryip, focusing on DeFi protocol exploits, Web3 security systems, and on-chain investigation. His research applies OSINT and fact-checking methodology to security incidents, drawing on certifications in cybersecurity and data analytics (LinkedIn Learning), and DeFi deep-dive training (Binance Academy). His work has been cited by Sherlock, Rekt.news, and Halborn Security.

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