Goldsky

Metis

Metis is an Ethereum Layer 2 optimistic rollup that supports decentralized governance and native storage solutions. It’s designed to foster scalable and self-managed dapp ecosystems.

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How to index Metis data with Goldsky

Subgraphs

Query Metis data with an instant GraphQL API. Perfect for familiarity, fast setups, on-chain data queries, and getting to market quickly.

Ideal for:

Teams building on Metis who want quick setup & minimal infrastructure overhead
Production-ready Metis API endpoints
Moderate traffic and throughput scenarios
Predefined data models and standard query patterns
On-chain data from EVM-compatible chains

Website

metis.io

EVM Compatible

Yes

Products

Subgraphs Compose

Supported Networks

Mainnet

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Metis data: frequently asked questions

What is Metis?

Metis is a blockchain network supported by Goldsky for real-time data indexing and streaming. Goldsky makes it easy to access Metis data through subgraphs, data pipelines, and RPC endpoints, so your team spends less time on infrastructure and more time building your product.

How do I start indexing Metis data with Goldsky?

Sign up for a free Goldsky account, then deploy a subgraph or pipeline against Metis in minutes. Goldsky handles node infrastructure, reorg detection, and data freshness automatically.

Can I run a subgraph on Metis?

Yes. Goldsky Subgraphs run on Metis and are fully compatible with The Graph protocol, so you can migrate existing subgraphs with a single CLI command. Queries are served via a standard GraphQL API with sub-second indexing latency.

How much does it cost to index Metis data with Goldsky?

Goldsky offers a free plan with generous limits so you can start building right away. Paid plans scale with usage. Creating an account is free and no credit card is required to get started.

How fresh is the Metis data available through Goldsky?

Goldsky indexes Metis blocks as they land on-chain, typically delivering data with sub-second latency after confirmation. Reorgs are handled automatically, so your application always reflects the current canonical chain state.