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GoldRush (Covalent)GoldRush (Covalent)
PRODUCT LAUNCHGoldRush (Covalent)2026-03-16

Covalent Launches GoldRush: Multichain Blockchain Data API Supporting 100+ Networks

Key Takeaways

  • ▸GoldRush enables developers to query blockchain data across 100+ chains with a single API call, eliminating fragmented multi-chain complexity
  • ▸Native AI agent support through MCP-compliant skills allows Claude and other AI systems to execute blockchain queries autonomously
  • ▸Terminal-first CLI interface dramatically lowers barriers to entry, allowing developers to start querying blockchain data instantly without setup
Source:
Hacker Newshttps://goldrush.dev/↗

Summary

Covalent has announced GoldRush, a comprehensive multichain data API platform designed for developers, traders, and AI agents to access blockchain information across 100+ chains through a single interface. The platform offers wallet portfolio tracking, transaction data, OHLCV price feeds, real-time DEX pair streaming, and other on-chain analytics capabilities. GoldRush includes a terminal-first CLI interface requiring zero setup and provides native support for AI agents through Model Context Protocol (MCP) integration with Claude, enabling seamless queries without requiring traditional code implementation. The service is positioned as a production-ready, cost-effective solution backed by major investors and trusted by thousands of developers.

  • Real-time streaming capabilities for new DEX pairs and trades provide traders and applications with immediate market intelligence
  • Production-ready infrastructure with claimed reliability and depth advantages positions GoldRush as an enterprise alternative to fragmented blockchain data solutions

Editorial Opinion

GoldRush represents a meaningful step toward practical multichain infrastructure as AI agents increasingly need direct blockchain access. The seamless MCP integration with Claude is particularly noteworthy—it removes friction for AI systems to interact with on-chain data natively, which could accelerate adoption of agent-driven trading and analytics. However, the real differentiator will be reliability and data accuracy at scale; any gaps in coverage or latency could quickly erode developer trust.

Generative AIAI AgentsData Science & AnalyticsFinance & Fintech

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