> For the complete documentation index, see [llms.txt](https://docs.substreams.dev/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.substreams.dev/tutorials/intro-to-tutorials/near.md).

# on NEAR

In this tutorial, you'll learn how to initialize a NEAR-based Substreams project using the Substreams CLI and the available NEAR development resources.

{% hint style="info" %}
The CLI installation is supported only on Linux and macOS. If you're using Windows, consider using the [DevContainer environment](/reference-material/development-tools/devcontainer-ref.md), which launches a Linux-based virtual environment.
{% endhint %}

{% hint style="info" %}
**Tip**: Using an AI coding assistant? Install the [Substreams agent skills](/how-to-guides/develop-your-own-substreams/general/agent-skills.md) to get expert Substreams guidance while building.
{% endhint %}

## Step 1: Initialize Your NEAR Substreams Project

1. [Install the Substreams CLI](/how-to-guides/installing-the-cli.md).
2. Running `substreams init` will give you the option to choose between NEAR project options. Select the one that best fits your requirements:
   * **near-hello-world**: Creates a simple Substreams example that demonstrates how to extract and process NEAR blockchain data using the [NEAR Full block](https://github.com/streamingfast/firehose-near/blob/develop/proto/sf/near/type/v1/type.proto) as input.

## Step 2: Visualize the Data

1. Run `substreams auth` to create your [account](https://thegraph.market/) and generate an authentication token (JWT), then pass this token back as input.
2. Run `substreams build` to compile the project.
3. Run `substreams gui` to visualize and iterate on your extracted data.

## Step 2.5: (Optionally) Transform the Data

1. Open the `src/lib.rs` file that has been generated.
2. Modify the transformations made to the data as needed. Every time you modify the code, you will have to recompile the project with `substreams build`.

## Step 3: Load the Data

To make your Substreams queryable (as opposed to [direct streaming](/how-to-guides/sinks/stream.md)), you can automatically send the data to a SQL data by using the [SQL sink](/how-to-guides/sinks/sql.md) or through [PubSub](/how-to-guides/sinks/pubsub.md).

## Additional Resources

You may find these additional resources helpful for developing your first NEAR application.

### NEAR Development Kit

The [Substreams NEAR](https://github.com/streamingfast/substreams-near) development kit provides Rust Firehose Block models and helpers specifically for NEAR chains.

### NEAR Endpoints

NEAR Substreams are available on the following endpoints:

* **NEAR Mainnet**: `mainnet.near.streamingfast.io:443`
* **NEAR Testnet**: `testnet.near.streamingfast.io:443`

### Dev Container Reference

The [Dev Container Reference](/reference-material/development-tools/devcontainer-ref.md), in case you are developing on Windows and need a Linux virtual environment.

### Substreams Components Reference

The [Components Reference](/reference-material/manifest-and-components/packages.md) dives deeper into navigating the `substreams.yaml`.