The context layer
Onchain data & intelligence for agents
An agent only acts on what it can see. This is how it sees onchain.
17 resources · 10 chains
An agent is only as good as what it can see. Before it trades, pays, or acts, it needs ground truth — balances, prices, positions, history, and what the rest of the chain is doing — and this layer supplies it, from raw RPC and indexers up to intelligence APIs and MCP servers that hand an LLM query-ready data.
Coverage and access model are what matter. We track which chains a source spans and whether it's free, keyed, or paid, so you can wire the right feed into your agent instead of discovering the gap in production.
The data stack
RPC & indexing
The base infrastructure that reads and serves raw chain state.
Portfolio & DeFi data
Balances, positions, prices, and yields, normalized across chains and protocols.
Market intelligence
Smart-money tracking, flows, and signals — context for a decision, never verification.
Data MCP servers
Agent-native endpoints that hand structured chain data straight to an LLM.
Data resources
Explore in directory →Zerion
ActiveWallet and DeFi data provider offering portfolio, positions, transactions, PnL, and prices across many chains, with an agent-accessible API.
DefiLlama
ActiveOpen DeFi analytics dashboard and free API tracking TVL, fees, revenue, volume, and yields across many chains and protocols.
Alchemy
ActiveA blockchain developer platform providing node infrastructure plus NFT, Token, and Transfers APIs and SDKs across many chains.
Nansen
ActiveOnchain analytics platform with wallet labeling and smart-money tracking, offering an API with key-based and x402 access.
Messari
ActiveCrypto research and data platform covering fundraising, metrics, signals, and news, with API-key and x402 agent access.
QuickNode
ActiveRPC infrastructure provider offering endpoints, Streams, and indexing tools across many blockchain networks.
aixbt
ActiveAI market-intelligence agent that publishes crypto narrative and project analysis.
Neynar
ActiveFarcaster developer platform providing APIs, SDKs, webhooks, and an agent skill for building and deploying agents that read and write Farcaster data.
Binance Agent Skills
ActiveA set of MCP-style Agent Skills that let AI agents access Binance spot, derivatives, margin, Alpha market data, and asset management via standardized APIs.
Chainbase
ActiveAn onchain data network providing structured, AI-ready blockchain data across many chains, with API, CLI, MCP, and x402 access.
Zapper
ActiveOnchain portfolio data provider exposing token, NFT, and DeFi position data across many chains via a GraphQL API.
Surf (asksurf.ai)
ActiveAn installable skill and unified API giving AI agents access to crypto market, on-chain, social, and prediction-market data across 40+ chains.
Fetch.ai uAgents
ActivePython framework for lightweight autonomous agents with built-in crypto-economic features.
Kaito
ActiveAI-powered crypto research and attention-analytics platform.
TradingAgents
ActiveAn open-source multi-agent LLM framework that simulates a trading firm with analyst, trader, and risk-management agents for research purposes.
ChainAware
ActivePre-built MCP blockchain capability modules giving agents fraud detection, AML scoring, wallet profiling, and token analysis.
Bankless Onchain MCP
UnknownMCP server providing AI assistants read access to onchain data via the Bankless API.
Learn more
What Are MCPs?
The Model Context Protocol (MCP) is an open standard, introduced by Anthropic, that defines how AI applications connect to external tools, data sources, and services. MCP servers expose capabilities; AI clients consume them.
What Are Onchain Agents?
Onchain agents are autonomous AI agents that can interact with blockchain systems, holding wallets, signing transactions, reading chain data, and executing workflows across protocols without constant human input.
Related use cases
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