Near Mainnet
- Type
- mainnet
- Protocol
- near
- Identifier
- near-mainnet
- Chain ID
- near:mainnet
- Native Currency
- NEAR
Indexing Data on NEAR
NEAR is a high-performance, sharded Layer 1 blockchain with a human-readable account model and Nightshade consensus, designed for scalable consumer and AI applications, with NEAR as its native token. The Graph can stream that onchain activity — blocks, transactions, and receipts; token transfers and balances; and smart-contract activity — as real-time data with Substreams.
NEAR is supported by The Graph with Substreams — a parallelized, real-time streaming engine for high-throughput use cases — via The Graph Market.
Indexing NEAR with Substreams
Substreams is a parallelized, real-time streaming engine for extracting and transforming blockchain data. Where a Subgraph indexes into a hosted GraphQL API, Substreams lets you consume high-throughput data directly or via 10+ supported sinks. Substreams streams NEAR’s blocks, transactions, and receipts. Modules are written in Rust and composed into reusable packages.
Find an Existing Module on Substreams.dev
Before writing any code, check the Substreams Registry for a package that already does what you need. The registry hosts community- and team-built modules covering common onchain data that you can run as-is or compose into your own pipeline. Search for the protocol or data you want on NEAR; if a module fits, you can consume its output directly or import it as a dependency in your own project.
Develop Your Own Substreams Module
If no existing module fits, you can build one. The Substreams Quick Start is the full walkthrough. In short:
- Install the Substreams CLI and get a key at thegraph.market (no personal information required).
- Scaffold a project with
substreams initand follow the prompts for NEAR. - Write your extraction and transformation logic in Rust, then run
substreams build. - Stream the output with
substreams gui(orsubstreams run) to iterate, then publish your package to the Substreams Registry to reuse or share it.