# Subnet 13 Data Universe
## What is SN13 — Data Universe
**Subnet 13** is Bittensor’s decentralized data layer, focused on the **collection, and distribution of fresh, desirable data**.
Its incentive mechanism rewards miners for gathering content that is desirable, based on the following:
* Source of the data
* Specific categories of data within that source
* The age of the data
* Data uniqueness
Currently, miners are incentivized to scrap data from platforms like **Reddit** and **X (Twitter).** Keeping the focus on rapidly shifting trends , because we all know in today’s world, stale data just doesn’t cut it.
API Documentation is available at [Macrocosmos API](/developers/readme.md).
Data Universe Marketplace and Data Collection sign up.
## Why It Matters
In fast-moving markets, **up-to-date data** is critical. Data provided by subnet 13's product [Data Universe](https://datauniverse.macrocosmos.ai/) allows businesses to:
* Track brand sentiment and market shifts in real time
* Make data-driven decisions based on the latest insights
* Refine strategy and stay competitive with fresh intelligence
As machine learning becomes more focused on the output, the **quality of training data** will become a key differentiator. SN13 aims to make **data one of Bittensor’s most valuable commodities.**
## Architecture
Subnet 13's decentralized design allows data to be distributed across miners and queried by validators, showcasing Bittensor's scalability. Macrocosmos is expanding data sources, developing a queryable API ([Endpoints](/developers/api-documentation/sn13-data-universe/endpoints.md)), and is currently one of the largest data providers with access to over 55 billion scraped posts and comments. By providing the raw material for pre-training and inference, subnet 13 is poised to supercharge the next stage of AI model development within the Bittensor ecosystem.
## Macrocosmos API
Using the `GravityClient` in the **Macrocosmos API**, you can easily launch scraping tasks and get structured datasets built by miners.
API Documentation is available at [Macrocosmos API](/developers/readme.md).
You'll also need an API key. Visit [Data Universe](https://app.macrocosmos.ai/account) to get started.
## Want a deeper dive?
Have a look at the Social Media Data use cases in [Data Universe Use Cases](/product-and-services/gravity/data-universe-use-cases.md) page.
For more details about the subnet 13 R\&D and Data Science work, take a look at our Substack articles:
* [Beyond dashboards: Why social listening SaaS, AI teams and growth marketers are starving for better data](https://macrocosmosai.substack.com/p/beyond-dashboards-why-social-listening)
* [From TAO price to flow: emissions upgrade through the lens of sentiment analysis](https://macrocosmosai.substack.com/p/from-tao-price-to-flow-emissions)
* [TAOLOR: Building a subnet-native AI agent with distributed RAG](https://macrocosmosai.substack.com/p/taolor-building-a-subnet-native-ai)
* [Building the future of authentic data: how subnet 111 leverages Macrocosmos' Gravity](https://macrocosmosai.substack.com/p/building-the-future-of-authentic)
* [Result: SN44, Score, partners with SN13’s Data Universe](https://macrocosmosai.substack.com/p/result-sn44-score-partners-with-sn13s)
* [SN13's Election experiment: A decisive victory for data scraping?](https://macrocosmosai.substack.com/p/sn13s-election-experiment-a-decisive)
* [Dynamic desirability: Launching Gravity, SN13’s democratization of data source selection](https://macrocosmosai.substack.com/p/dynamic-desirability-launching-gravity)
Related resources
* [Website](https://www.macrocosmos.ai/sn13)
* [Data Universe X (Twitter)](https://x.com/Data_SN13)
* [GitHub](https://github.com/macrocosm-os/data-universe)
* [Substack](https://macrocosmosai.substack.com/t/data-scraping)
* [Bittensor Discord](https://discord.com/channels/799672011265015819/1185617142914236518)
* [Macrocosmos Discord](https://discord.com/channels/1238450997848707082)
* [Cosmonauts - Macrocosmos Telegram](https://t.me/macrocosmosai)
* [Macrocosmos X (Twitter)](https://x.com/MacrocosmosAI)
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# Agent Instructions: Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.
Perform an HTTP GET request on the current page URL with the `ask` query parameter:
```
GET https://docs.macrocosmos.ai/subnets/subnet-13-data-universe.md?ask=
```
The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.
Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.