About

Hackers at DevCon can leverage multiple tools from The Graph's stack: - Subgraphs are customizable GraphQL APIs to query blockchain data - Token API provides instant access to real-time token and NFT prices, balances, and metadata via REST endpoints - Amp is a blockchain-native database for building, publishing, and remixing smart contract datasets, which delivers real-time, multichain data that’s instantly queryable, locally testable, and queryable via SQL - Substreams enable high-performance data pipelines for real-time streaming of analytics and AI model training - Subgraphs and Token API both offer Model Context Protocol (MCP) servers to connect AI agents directly to blockchain data through natural language. Whether you're building cross-chain dashboards, AI trading agents, risk analytics tools, or composable data APIs, The Graph provides production-ready infrastructure that transforms raw blockchain data into intelligent, actionable insights. All tools are designed for speed: what traditionally takes weeks to build can be deployed in hours, letting you focus on creating compelling user experiences rather than wrestling with data infrastructure.

Prizes

🔊 Best Use of Amp Datasets$8,000
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1st place
$3,000
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2nd place
$2,000 ×2
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3rd place
$1,000
Rewarding the most compelling end-to-end product built on Amp datasets. Example Use Cases: - Cross-chain portfolio dashboard that aggregates wallet positions and liquidity using Amp token datasets. - Risk analytics or MEV monitor that visualizes transaction patterns or protocol surface exposure. - NFT trait liquidity explorer that ranks collections by floor depth and trading velocity using Amp NFT datasets.

Qualification Requirements

Builders should demonstrate how Amp datasets can power real-world insights, analytics, alerts, agent workflows, risk dashboards, or user experiences across DeFi, NFTs, RWAs, or AI.

🤖 Best Use of The Graph for AI Use Cases$2,000
Connect The Graph’s products in AI or autonomous agent workflows, including Token API MCP, Subgraph MCP, or Substreams to train AI models. Example Use Cases: - Leverage The Graph’s Token API in ChatGPT 5 to create a new AI agent that pulls onchain data for a novel use cases like onchain accounting for a DAO or real-time trading across multiple chains - AI trading or monitoring agent that queries Token API price and liquidity data through the Token API MCP server. - Governance summarizer bot that pulls DAO data from Subgraphs MCP to generate natural-language updates.

Qualification Requirements

Builders should focus on one of the following: - intelligent data consumption - decision-making - automation using verifiable onchain data.

Workshop

🛠️ Amp: Enterprise-Grade Blockchain Data tha...

Edge & Node is introducing Amp, our next-generation infrastructure that turns blockchain data into an easily querya...

This workshop is happening in-person

04:30 PM UTC-03 — Friday, Nov 21, 2025 in Workshop Room 5