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

XERO Price Crash: Shares Sink 16% to Three-Year Low

XERO Price Crash: Shares Sink 16% to Three-Year Low

Xero Ltd shares trade near $80.82 as of writing, down almost 16% on the session and hovering near their lowest levels since early 2023. Early trading briefly pushed
Share
Coinstats2026/02/04 16:55
YwinCap View On Whether The Gold Market Is In A Bubble

YwinCap View On Whether The Gold Market Is In A Bubble

Singapore (PinionNewswire) — In early 2026, a central question for investors and traders alike is whether the dramatic rise in gold prices represents a speculative
Share
Blocktelegraph2026/02/04 17:12
Foreigner’s Lou Gramm Revisits The Band’s Classic ‘4’ Album, Now Reissued

Foreigner’s Lou Gramm Revisits The Band’s Classic ‘4’ Album, Now Reissued

The post Foreigner’s Lou Gramm Revisits The Band’s Classic ‘4’ Album, Now Reissued appeared on BitcoinEthereumNews.com. American-based rock band Foreigner performs onstage at the Rosemont Horizon, Rosemont, Illinois, November 8, 1981. Pictured are, from left, Mick Jones, on guitar, and vocalist Lou Gramm. (Photo by Paul Natkin/Getty Images) Getty Images Singer Lou Gramm has a vivid memory of recording the ballad “Waiting for a Girl Like You” at New York City’s Electric Lady Studio for his band Foreigner more than 40 years ago. Gramm was adding his vocals for the track in the control room on the other side of the glass when he noticed a beautiful woman walking through the door. “She sits on the sofa in front of the board,” he says. “She looked at me while I was singing. And every now and then, she had a little smile on her face. I’m not sure what that was, but it was driving me crazy. “And at the end of the song, when I’m singing the ad-libs and stuff like that, she gets up,” he continues. “She gives me a little smile and walks out of the room. And when the song ended, I would look up every now and then to see where Mick [Jones] and Mutt [Lange] were, and they were pushing buttons and turning knobs. They were not aware that she was even in the room. So when the song ended, I said, ‘Guys, who was that woman who walked in? She was beautiful.’ And they looked at each other, and they went, ‘What are you talking about? We didn’t see anything.’ But you know what? I think they put her up to it. Doesn’t that sound more like them?” “Waiting for a Girl Like You” became a massive hit in 1981 for Foreigner off their album 4, which peaked at number one on the Billboard chart for 10 weeks and…
Share
BitcoinEthereumNews2025/09/18 01:26