The Graph

The Graph

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The Graph is a web3 protocol for organizing and accessing blockchain data Official account of The Graph ecosystem

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ICYMI: The Graph is monitoring five crypto legislative frameworks that are moving from proposal to enforcement in 2026. MiCA's grandfathering period ends July 1. The CLARITY Act is in active redraft. The GENIUS Act's stablecoin provisions are still contested. The UK's FCA authorization window is taking shape.

https://thegraph.com/blog/crypto-legislation-to-monitor-2026/…

750 institutions. 150 speakers, including @brandonleekramer of The Graph. @Blockworks Digital Asset Summit is where institutional crypto strategy gets made. The Graph will be there with the data infrastructure that makes those strategies executable at scale. Attend Crypto's Toughest Data Problems (and how to solve them) 🗓️Day 2 | 03/25/2026 ⏱️3:20 PM - 4:00 PM EST 🗺️Insights Track | 4th Floor | 402 & 403

The Graph is attending Digital Asset Summit 2026 in New York City 🏙️ From verifiable data pipelines to enterprise blockchain databases, the infrastructure institutions need to operationalize onchain data is ready. Stop by the booth to meet The Graph team. See you there. x.com/blockworksDAS/…

"Blockchains are transparent but illegible. AI is great at reasoning but needs data. MCP bridges the two." That's one of the cleaner articulations of the crypto + AI infrastructure problem that's been written recently. The Graph is the indexing layer that makes that bridge possible. twitter.com/graphprotocol/stat...

Substreams compresses Ethereum history processing from weeks to hours. That is the baseline. In 2026, The Graph adds: ➡️ Q1 Reth and Besu instrumentation for broader chain coverage ➡️ Q2 Horizon-based P2P data service with GraphTally payments ➡️ Q3 Mainnet rollout and Provider Selection Oracle ➡️ Q4 Probabilistic verifier for data integrity and Substreams REO twitter.com/graphprotocol/stat...

The question isn't just "could blockchain make markets more efficient?" It's "could it make them fail less often, fail less violently, and better serve the people who depend on them?" Andrew Clews on what @The_DTCC's blockchain experiment suggests about reducing systemic risk 👇

https://thegraph.com/blog/rebuilding-global-finance/…

Querying blockchain data today requires knowing GraphQL, finding the right Subgraph out of 15,000+, writing queries, converting units, and stitching results together manually. The Graph MCP (Model Context Protocol) server is middleware that sits between an AI assistant such as @claudeai, @cursor_ai, or @Copilot and a data source. Instead of writing code, a developer talks to their AI or coding assistant. The MCP handles the "find the right Subgraph → write the query → fetch the data → format the result" layer invisibly. The Graph's indexed Subgraphs are the underlying data source. The MCP is a curated, opinionated interface on top of The Graph's network.

What can you build with Subgraphs on Tempo? ↳ Real-time payment tracking dashboards ↳ Stablecoin transfer reconciliation ↳ Compliance monitoring for cross-border flows ↳ Automated payroll verification ↳ Settlement analytics for tokenized deposits The data layer for the payments chain is here. twitter.com/graphprotocol/stat...

.@tempo’s Moderato and Mainnet are now indexable with The Graph’s Subgraphs. Developers building on Tempo can now transform raw onchain data into clean, queryable GraphQL APIs — no custom infrastructure required twitter.com/graphprotocol/stat...

When The Graph open-sourced the Subgraph framework, it meant every protocol could share indexing logic instead of each team writing its own. When 75,000+ developers use the same data transformation patterns, the collective debugging, optimization, and improvement compound. Proprietary solutions create islands. Open standards create ecosystems. One scales linearly with the vendor's resources. The other scales with every developer who contributes back. That's better engineering economics.

Traditional indexers process blocks one at a time. Substreams processes them in parallel. 💡The result? Faster sync times, real-time data streaming, lightning-fast reprocessing allowing for dev iteration, and infrastructure that scales with chain throughput.

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