The Graph
@graphprotocol

The Graph provides blockchain data solutions for on-chain apps, AI agents & institutions. Follow for ecosystem updates, builder guides & what ships.

 Based in United States
thegraph.com
Joined April 2018
1,013 Photos and videos
An AI agent needs three things to act on-chain: identity, awareness, and payment. The Graph powers two. Subgraphs and MCP turn unsearchable blocks into context an agent can read. x402 lets it pay per query, no API key. The stack beneath the agentic web:
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The Infrastructure Stack Behind Autonomous AI Agents in Web3

Millions of autonomous AI agents are coming to web3. They will book hotels, manage yield, and execute trades for the people who own them, all running in the background. It is tempting to picture an

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In 2025, 15.2% of indexing rewards on The Graph went to Indexers serving little to no queries. The Rewards Eligibility Oracle changes that and it just went live. Same issuance, better allocation. Learn more below:
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A New Service Standard for Subgraph Indexing Rewards

Indexing rewards on The Graph Network used to be distributed by curation signal and allocated stake. Neither of those measures whether an Indexer served a single query. So a share of issuance every

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Everything that shipped on The Graph in July, in one place. A managed sink service. Twelve new Substreams Skills. A new chain. A registry rebuilt around what the data is rather than who published it. Ten projects from ETHGlobal Lisbon.
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What Shipped in The Graph Ecosystem: July 2026

July was a Substreams month. A new sink service moved the hardest operational parts of a data pipeline off developers' machines, the registry was rebuilt around what the data is rather than who wrote

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"Verifiable" spans spot-checkable transparency, 1-of-N trust models, consensus, and cryptographic proof — very different paradigms. This post maps them and shows how The Graph (Subgraphs, Substreams, Amp) makes extraction and queries verifiable onchain.
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What "Verifiable" Actually Means for Blockchain Data

In April 2026, attackers manipulated the RPC infrastructure feeding a verification layer tied to KelpDAO. The blockchain's cryptography held up fine. The data pipeline did not. The result was a loss

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GraphTally: How The Graph Solved Micropayments for the Machine Economy

The World Wide Web is one of the most consequential technologies humans have ever built. Yet the people who designed it overlooked one thing: they built it for humans to use, and that is becoming a

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Stablecoin Compliance Infrastructure Can't Wait for Regulatory Clarity

The waiting game is over. For years, the standard institutional response to stablecoins was some version of "wait and see." Regulatory uncertainty was a legitimate reason to hold back. Nobody wanted

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Querying Blockchain Data with Natural Language: MCP and Skills from The Graph

As AI tools become a standard part of the developer workflow, the way users access blockchain data is changing. Model Context Protocol (MCP) integrations and AI agent skills are creating new

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The First Named Agents Are Paying for Onchain Data

Named agents showing up each day are the signal. A while back, The Graph Foundation published a piece explaining two new onchain standards: x402, a payment protocol that lets AI agents pay for data

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The Graph Gateway Accepts x402 Payments

If you're building an agent or any programmatic workflow that needs blockchain data, you can now query any subgraph on The Graph Network by paying per request in USDC. No API key. No account. No

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When Blockchain Data Goes Wrong: The Cost of Inaccurate Pricing

TLDR: Inaccurate onchain data has cost the industry hundreds of millions of dollars, from oracle exploits to stablecoin collapses. As blockchain settlement compresses to seconds and AI agents execute

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How a Community Builder Queried 90 DeFi Lending Protocols With a Single GraphQL Query

A case study in what becomes possible when standardized Subgraphs and open infrastructure meet AI-native tooling. TLDR: A community builder named @PaulBarba12 set out to solve one of DeFi's oldest
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What Tycho Does and Why Liquidity Data Is Harder Than It Looks

Decentralized exchange liquidity is complex in ways that are easy to underestimate. Prices shift constantly as trades execute. Pool states change with every block. A price quote that was accurate 500

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