Verifiable Data Extraction in Blockchain Pipelines

As blockchain applications scale across chains and into enterprise environments, data reliability becomes increasingly important. Developers and data teams depend on extracted blockchain datasets to reflect canonical chain state, yet most pipelines still rely heavily on trust in providers and infrastructure.

Edge & Node, a founding contributor to The Graph ecosystem, recently published a technical deep dive on verifiable data extraction. The article explores how Amp helps detect corrupted blockchain data before it enters downstream systems, strengthening trust in onchain data pipelines.

By verifying extracted datasets against cryptographic commitments from block headers, Amp introduces stronger guarantees around data integrity for applications that depend on accurate blockchain data.

This work reflects a broader evolution in the web3 data stack, where verifiability, reliability, and interoperability are becoming foundational requirements for production infrastructure.

Read the full article from Edge & Node

About The Graph

The Graph  is the leading indexing and query protocol powering the decentralized internet. Since launching in 2018, it has empowered tens of thousands of developers to effortlessly build  Subgraphs  and leverage  Substreams  across countless blockchains, including Ethereum, Solana, Arbitrum, Optimism, Base, Polygon, Celo, Soneium, and Avalanche. With powerful tools like Substreams and Token API, The Graph delivers high-performance, real-time access to onchain data. From low-latency indexing to rapid token data, it serves as the premier solution for building composable, data drive dapps.

Discover more about how The Graph is shaping the future of decentralized physical infrastructure networks (DePIN) and stay connected with the community. Follow The Graph on  X LinkedIn Instagram Facebook Reddit Farcaster  and  Medium. Join the community on The Graph’s  Telegram, join technical discussions on The Graph’s  Discord.


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RecommendedDeveloper Corner
Published
February 13, 2026

The Graph Foundation

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