> For the complete documentation index, see [llms.txt](https://teos-docs.coreledger.net/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://teos-docs.coreledger.net/guides/meta-data/get-entity-sets.md).

# Get Entity Sets

This API method returns a list of all **available entity sets** in the OData service. An **entity set** is a collection of entities (similar to a table in a database) that the service exposes. Each entity set corresponds to a type of data you can query, such as users, assets, or transactions.

This method provides the **service document**, which is a top-level overview of the service. It allows clients to discover what entity sets are available without needing to query each one individually. In OData terminology, this is part of the **metadata** that describes the structure of the service, including the types of entities and their relationships.

📘 [Learn more](https://app.gitbook.com/o/ZaeNizhnU47lCcTSk7wB/s/8Gkk33l0DIIchfRT86LP/~/changes/83/guides/meta-data) about meta data.

#### **Parameters:** 

None

#### **Notes:**

* The response does not include the data itself, only the list of entity sets.
* This method is useful for dynamically exploring the service and understanding its structure before performing queries on specific entity sets.
* It provides the first step in accessing the **queryable metadata** of the OData service, which can be further inspected to learn about entity types, properties, and relationships.

#### **Responses:**

| Code | Description |
| ---- | ----------- |
| 200  | OK          |


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# Agent Instructions
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## 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://teos-docs.coreledger.net/guides/meta-data/get-entity-sets.md?ask=<question>
```

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.