Concepts

What is Hive Intelligence?

Written by Rishabh Narang, CEO, Hive IntelligenceLast updated

Hive Intelligence is a managed MCP server, REST API, and CLI for live crypto data. It gives AI agents one authenticated surface for prices, wallet positions, DeFi activity, token risk, and on-chain context, with runtime discovery and a consistent execution contract across providers.

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Founded in 2024 by Rishabh Narang (ex-derivatives trader, founder of Sharpe Labs in 2021). Investor and advisor lineage shared with Sharpe Labs includes Google Cloud, NVIDIA, AWS, Anthropic, Animoca Brands, Morningstar Ventures, GBV Capital, and Contango Digital.

Under the hood, Hive is a managed Model Context Protocol (MCP) server and REST API gateway built for developers shipping AI products such as trading bots, research agents, wallet analyzers, and security scanners. Your agent discovers 375 callable tools at runtime: 357 provider tools across root discovery, 10 category-scoped endpoints, and REST, plus 18 Hive-native stateful monitoring, memory, alert, report, and B2B subject tools. Coverage includes market prices, DeFi analytics, wallet intelligence (EVM and Solana), token security, DEX activity, prediction markets, NFTs (including Solana compressed NFTs), token metadata, search, and cross-chain network infrastructure. See Data Sources for the full list of upstream providers we federate into a single tool surface with one credit currency.


The problem

If you are building a crypto AI agent today, you are stitching together separate APIs for prices, DeFi analytics, security checks, wallet data, exchange data, DEX and prediction markets, Solana RPC, and transaction simulation.

Every provider you add slows shipping and grows your maintenance bill. Hive is one API that already speaks to all of them, authenticated, schema-discoverable, and discovered at runtime.


What Hive does

Hive is a managed gateway that sits between your AI agent and all of those providers. You connect once, through MCP, REST API, or CLI, and your agent gets access to everything.

  • 375 callable tools: 357 provider tools across 10 categories plus 18 Hive-native stateful tools.
  • Runtime tool discovery: your agent finds tools as it needs them.
  • One API key, one auth flow, one execution contract: regardless of which upstream the data comes from.

How teams use it

MCP

Best for AI agent workflows. Your agent connects to the Hive MCP endpoint and discovers tools at runtime. Works with Claude, Cursor, OpenAI Responses API, Gemini, and LangChain.

REST API

Best for backends and scripted workflows. Standard HTTP requests to list and execute tools.

CLI

Best for terminal access, testing, and local automation.


Who uses Hive

Hive is built for three kinds of crypto AI agent workflows:

  • Research agents: a quant or market-intelligence agent that tracks top movers, flags DeFi TVL shifts, and assembles daily briefings. These agents call get_price, get_trending_pools, get_defi_protocols, and codex_prediction_market_stats to build context, then summarize for a human reader.
  • Trading bots and execution agents: bots that need live order flow, perpetual funding rates, DEX liquidity, and Solana priority fees in one pipeline. Hive replaces a rotating cast of CEX APIs, DEX aggregators, and Solana RPC nodes with one authenticated surface.
  • Wallet and security agents: agents that audit a wallet before an action, including wallet reconciliation (alchemy_get_token_balances_by_wallet + helius_get_assets_by_owner), pre-signing risk checks (get_token_security, detect_rugpull), and gas/priority estimation (helius_get_priority_fee_estimate).

Typical callers: Claude Desktop, Claude Code, Cursor, OpenAI Responses API, Windsurf, VS Code (GitHub Copilot Chat), Codex CLI, Gemini CLI, and custom MCP clients. Hive is built for agent tool calls, runtime discovery, and programmatic workflows.


Why teams start here

Hive reduces integration work by replacing separate provider integrations for prices, DeFi analytics, wallets, security, and prediction markets with one authenticated surface. Teams connect once and narrow down to the tools they need.

That makes Hive useful for both fast prototypes and production systems where tool discovery, managed authentication, and current documentation matter.