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ETHGlobal Lisbon 2026 Showcases The Graph’s Growing Role in Blockchain AI

Coininsight by Coininsight
July 29, 2026
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Jessie A Ellis
Jul 28, 2026 23:00

ETHGlobal Lisbon 2026 highlighted The Graph’s impact on AI and blockchain with $15K prizes awarded to 10 innovative projects.



ETHGlobal Lisbon 2026 Showcases The Graph’s Growing Role in Blockchain AI

ETHGlobal Lisbon 2026, held from July 24 to 26, spotlighted The Graph’s role in shaping blockchain-powered AI and data infrastructure. Over 10 teams competed for $15,000 in prizes across four categories sponsored by The Graph, with winning projects tackling critical challenges like real-time data accuracy, standardized schemas, and agent integrations.

The event, part of ETHGlobal’s international hackathon series, provided fertile ground for Ethereum developers and innovators. This year’s Lisbon edition emphasized the growing convergence of blockchain and AI, with The Graph’s tools taking center stage.

Winners Highlight Blockchain-AI Synergy

“Pista,” winner of the $2,500 “Best AI Tooling for The Graph” prize, exemplified this trend. The team developed a behavior analytics tool that streams Ethereum Virtual Machine (EVM) data to identify anomalies, triggering on-chain responses like contract pauses or alerts. Other notable winners included “ColdProof,” which uses immutable blockchain data to secure pharmaceutical cold chains, and “Am I Cooked,” a wallet scanning tool leveraging standardized schemas to identify vulnerabilities and forgotten assets across DeFi protocols.

These projects illustrate a significant industry shift toward AI-powered automation and real-time data use cases. For instance, “ColdProof” integrated Hedera Consensus Service messages into The Graph’s Substreams, proving the versatility of blockchain data infrastructure beyond traditional finance.

The Graph’s Vision for Blockchain Data

The Graph’s sponsorship of ETHGlobal Lisbon aligns with its broader mission to standardize and scale blockchain data access. As of mid-2026, The Graph has processed over 1.27 trillion queries for 75,000+ projects, cementing its position as a cornerstone of Web3 infrastructure. Products like Substreams and Firehose empower developers to extract actionable insights from blockchain data in real-time—a capability showcased repeatedly at the hackathon.

Three key trends emerged from the winning ETHGlobal projects:

  1. Standardized schemas enable interoperability, reducing development overhead. Several teams, including “Am I Cooked” and “deeptrace,” built registry solutions to map shared schemas across multiple protocols.
  2. Provenance and data freshness are now critical for AI-driven applications. Tools like “BookerBob” prioritize live, verifiable data over stale inputs.
  3. Real-time streaming is shifting from a performance perk to a necessity for decision-making tools. Projects like “atlas” used The Graph’s Substreams for instant updates on blockchain events.

Why It Matters

ETHGlobal Lisbon’s emphasis on The Graph underscores a larger trend within the Ethereum ecosystem: the push to integrate AI with on-chain data for applications beyond finance. From supply chain monitoring to file provenance, this year’s projects reveal a widening scope for blockchain innovation.

For traders and developers, this evolution signals new opportunities. As tools like those highlighted at ETHGlobal mature, they could redefine how DeFi products operate, improve user trust, and even enhance risk management strategies. For example, “Am I Cooked” could become an essential wallet hygiene tool, while “ColdProof” may pave the way for enterprise blockchain adoption in logistics.

Looking Ahead

The Graph’s next steps will be critical as developers continue to experiment with its infrastructure. With ETHGlobal hackathons serving as testing grounds for innovation, the Ethereum ecosystem is poised to expand its reach into new industries. Expect more announcements on standardized data schemas and AI integrations in the months ahead, as these trends take root across Web3.

Image source: Shutterstock


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