Goldsky

SKALE Nebula

A gaming-optimized SKALE chain offering zero gas fees and high throughput. Nebula is built for deploying scalable Web3 games and managing in-game assets on-chain.

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How to index SKALE Nebula data with Goldsky

Subgraphs

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

Website

skale.space

EVM Compatible

Yes

Products

Subgraphs Compose

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SKALE Nebula data: frequently asked questions

What is SKALE Nebula?

SKALE Nebula is a blockchain network supported by Goldsky for real-time data indexing and streaming. Goldsky makes it easy to access SKALE Nebula 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 SKALE Nebula data with Goldsky?

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

Can I run a subgraph on SKALE Nebula?

Yes. Goldsky Subgraphs run on SKALE Nebula 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 SKALE Nebula data with Goldsky?

Goldsky offers a free $100 in credit to try out Goldsky, 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 SKALE Nebula data available through Goldsky?

Goldsky indexes SKALE Nebula 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.