> For the complete documentation index, see [llms.txt](https://docs.non-obvious.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.non-obvious.ai/sdks-guide/blockchain-sdks/wallet-sdk/getkeys/evm.md).

# evm

## Description

The `getKeys` function takes a mnemonic as input and returns a private key and an address associated with that mnemonic.

## Parameters

| Parameter  | Type   | Description                                       |
| ---------- | ------ | ------------------------------------------------- |
| `mnemonic` | string | A string of 12, 15, 18, 21, or 24 words mnemonic. |

## Response

| Field               | Type   | Description                                                                           |
| ------------------- | ------ | ------------------------------------------------------------------------------------- |
| `code`              | number | Indicates whether the function executed successfully (1) or encountered an error (0). |
| `result`            | object | Contains the private key and address associated with the input mnemonic.              |
| `result.privateKey` | string | The private key associated with the input mnemonic.                                   |
| `result.address`    | string | The address associated with the input mnemonic.                                       |

## Example Request and Response

### Prerequisites

Before making requests with NO.AI SDK, you must have it installed.

You can install NO.AI SDK using either **`npm`** or **`yarn`**. Use the following commands to install NO.AI SDK:

```sh
npm install @nest25/wallet-lib
OR
yarn add @nest25/wallet-lib
```

### Request

Here is an example of how to make a `getKeys` request using the NO.AI SDK:

{% code overflow="wrap" %}

```javascript
// import Nest SDK
import { Wallet } from 'nest25/wallet-lib';

// Create a new instance of the Wallet class
const wallet = new Wallet();
// test mnemonic for BTC mainnet (use the createWallet function to get one)
const testMnemonic = 'advice annual assault stool arrest bid spike cluster absurd impact shell jacket';

const main = async () => {
  // get the keys for the evm network
  const response = await wallet.getKeys('evm', testMnemonic);
  // log the response
  console.log(response);
};

main();
```

{% endcode %}

### Response

```
{
        code: 1,
        result: {
          privateKey: '0x52c0b43c7fec3dd1f7fce983e29b8cafdd8fab0704e98a86da03a89a5892cdf2',
          address: '0xdf24152cB2ae36C51FAbbc404Dc10623e56bFeE0'
        }
}
```

## Use Cases

* **Cryptocurrency Wallet:** This function can be used by cryptocurrency wallets to generate a private key and address for a user's account using a mnemonic that is easy to remember and write down.
* **Testing:** It can also be used by blockchain developers to quickly generate private keys and addresses for testing and development purposes.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## 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, and the optional `goal` query parameter:

```
GET https://docs.non-obvious.ai/sdks-guide/blockchain-sdks/wallet-sdk/getkeys/evm.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.