> For the complete documentation index, see [llms.txt](https://guide.phbot.org/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://guide.phbot.org/purchasing.md).

# Purchasing

phBot time is currently **$1.00 USD** per week and can be purchased at [phBot.org](https://phbot.org/phbot/).

* Payment Methods
  * Stripe (credit cards, Alipay, CashApp pay, Apple Pay)
  * PayPal
  * Bitcoin (through Paymentwall)
  * Paymentwall (various methods available)
* Logging In
  * Upon a successful payment you will receive a random username and password to login to the bot with.

A few days before your subscription expires you will receive an email detailing that it is expiring soon.

#### Free Trial <a href="#trial" id="trial"></a>

1. Download [phBot](/download.md).
2. Login to phBot between 12:00 AM -> 12:00 PM EST Monday night / Tuesday morning (after the Silkroad inspection) with the username "trial" and any password.

You have 12 hours to test the bot.

#### Resellers <a href="#resllers" id="resllers"></a>

There are a few resellers out there but please purchase directly whenever possible.

* Some resellers will give you a card ID and password to redeem on any phBot email that you wish. This method is preferred.
* Others will require you to give them your email so they can buy time on your account. This method is also safe.

Cards can be redeemed [here](https://phbot.org/phbot/redeem/).


---

# 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:

```
GET https://guide.phbot.org/purchasing.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.