OnchainDB leverages Celestia's upcoming Fibre upgrade to create micropayment-enabled database infrastructure for AI agents, turning every API call into a monetizableOnchainDB leverages Celestia's upcoming Fibre upgrade to create micropayment-enabled database infrastructure for AI agents, turning every API call into a monetizable

OnchainDB Builds Pay-Per-Query Database on Celestia's 1Tb/s Infrastructure

3 min read

OnchainDB Builds Pay-Per-Query Database on Celestia's 1Tb/s Infrastructure

Joerg Hiller Feb 03, 2026 15:54

OnchainDB leverages Celestia's upcoming Fibre upgrade to create micropayment-enabled database infrastructure for AI agents, turning every API call into a monetizable transaction.

OnchainDB Builds Pay-Per-Query Database on Celestia's 1Tb/s Infrastructure

Celestia's modular blockchain thesis is getting its first real stress test. OnchainDB, an independent project building on the network, has unveiled a pay-per-query database designed for a future where AI agents make millions of micropayments per second for data access.

The timing isn't coincidental. Celestia announced its Fibre Blockspace protocol on January 13, 2026, achieving 1 terabit per second throughput in testing across 498 nodes—a 1,500x improvement over original roadmap targets. OnchainDB is essentially betting that bandwidth will finally be cheap enough to make per-query payments economically viable.

The Economics of Every API Call

Here's the pitch: instead of paying monthly cloud bills, developers store application data on Celestia's data availability layer and earn revenue when that data gets accessed. OnchainDB's current design splits revenue 70/30 between app developers and the platform on every read and write operation.

The use cases are straightforward. A prediction market could charge for historical odds data. Social platforms could monetize their graph data for third-party queries. Analytics providers could sell aggregated metrics without building billing infrastructure from scratch.

But the real target is machine-to-machine commerce. OnchainDB positions itself as a discovery layer for AI agents—letting them find datasets, pay per query, join information across multiple apps, and process results without human intervention. The project calls this a "Collective Intelligence Database."

Why Traditional Blockchains Won't Cut It

The math doesn't work on existing infrastructure. A database serving thousands of AI agents making queries every second generates transaction volumes that would crush current Ethereum blob capacity and costs. Micropayments for data access only make sense when the underlying blockchain cost per byte is trivial.

OnchainDB posts every write operation to Celestia—new entries and updates alike. Reads hit materialized views synced with that canonical onchain state. Users get blockchain guarantees (immutability, cryptographic verification) while the indexing layer handles query performance.

At Fibre's projected 1Tb/s scale, a fraction-of-a-cent payment for a database read can cover onchain costs with margin remaining. That's the theory, anyway.

Market Context

TIA currently trades at $0.38, down 5.6% over 24 hours with a market cap of roughly $332 million. The token has been under pressure despite the ambitious Fibre announcement three weeks ago.

The gap between Celestia's technical roadmap and current market sentiment is notable. Fibre represents infrastructure designed for use cases that don't exist yet at scale—agentic payments, pay-per-crawl markets, onchain orderbooks for traditional assets.

OnchainDB is one of the first concrete applications built for this hypothetical future. Whether AI agent economies materialize fast enough to justify the infrastructure investment remains the open question. The project's success depends entirely on whether the "everything markets" vision plays out within a timeframe that matters to current token holders.

Celestia's Ginger upgrade in October 2024 doubled throughput by cutting block times from 12 to 6 seconds. Fibre takes a different approach, running parallel to the existing L1 with different blob specifications—256KB minimum to 128MB maximum, versus standard L1's 8MB cap with no minimum.

For developers watching this space, OnchainDB offers an early template for what high-bandwidth data availability actually enables. For traders, it's a reminder that Celestia's value proposition hinges on applications that won't exist until the infrastructure does.

Image source: Shutterstock
  • celestia
  • tia
  • onchaindb
  • ai agents
  • data availability
Disclaimer: The articles reposted on this site are sourced from public platforms and are provided for informational purposes only. They do not necessarily reflect the views of MEXC. All rights remain with the original authors. If you believe any content infringes on third-party rights, please contact service@support.mexc.com for removal. MEXC makes no guarantees regarding the accuracy, completeness, or timeliness of the content and is not responsible for any actions taken based on the information provided. The content does not constitute financial, legal, or other professional advice, nor should it be considered a recommendation or endorsement by MEXC.

You May Also Like

FCA komt in 2026 met aangepaste cryptoregels voor Britse markt

FCA komt in 2026 met aangepaste cryptoregels voor Britse markt

De Britse financiële waakhond, de FCA, komt in 2026 met nieuwe regels speciaal voor crypto bedrijven. Wat direct opvalt: de toezichthouder laat enkele klassieke financiële verplichtingen los om beter aan te sluiten op de snelle en grillige wereld van digitale activa. Tegelijkertijd wordt er extra nadruk gelegd op digitale beveiliging,... Het bericht FCA komt in 2026 met aangepaste cryptoregels voor Britse markt verscheen het eerst op Blockchain Stories.
Share
Coinstats2025/09/18 00:33
Cashing In On University Patents Means Giving Up On Our Innovation Future

Cashing In On University Patents Means Giving Up On Our Innovation Future

The post Cashing In On University Patents Means Giving Up On Our Innovation Future appeared on BitcoinEthereumNews.com. “It’s a raid on American innovation that would deliver pennies to the Treasury while kneecapping the very engine of our economic and medical progress,” writes Pipes. Getty Images Washington is addicted to taxing success. Now, Commerce Secretary Howard Lutnick is floating a plan to skim half the patent earnings from inventions developed at universities with federal funding. It’s being sold as a way to shore up programs like Social Security. In reality, it’s a raid on American innovation that would deliver pennies to the Treasury while kneecapping the very engine of our economic and medical progress. Yes, taxpayer dollars support early-stage research. But the real payoff comes later—in the jobs created, cures discovered, and industries launched when universities and private industry turn those discoveries into real products. By comparison, the sums at stake in patent licensing are trivial. Universities collectively earn only about $3.6 billion annually in patent income—less than the federal government spends on Social Security in a single day. Even confiscating half would barely register against a $6 trillion federal budget. And yet the damage from such a policy would be anything but trivial. The true return on taxpayer investment isn’t in licensing checks sent to Washington, but in the downstream economic activity that federally supported research unleashes. Thanks to the bipartisan Bayh-Dole Act of 1980, universities and private industry have powerful incentives to translate early-stage discoveries into real-world products. Before Bayh-Dole, the government hoarded patents from federally funded research, and fewer than 5% were ever licensed. Once universities could own and license their own inventions, innovation exploded. The result has been one of the best returns on investment in government history. Since 1996, university research has added nearly $2 trillion to U.S. industrial output, supported 6.5 million jobs, and launched more than 19,000 startups. Those companies pay…
Share
BitcoinEthereumNews2025/09/18 03:26
Trump foe devises plan to starve him of what he 'craves' most

Trump foe devises plan to starve him of what he 'craves' most

A longtime adversary of President Donald Trump has a plan for a key group to take away what Trump craves the most — attention. EX-CNN journalist Jim Acosta, who
Share
Rawstory2026/02/04 01:19