> For the complete documentation index, see [llms.txt](https://monster-lord.gitbook.io/monsterlord/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://monster-lord.gitbook.io/monsterlord/monster-games/monster-escape-later.md).
# Monster Escape (Later)
"Monster Escape" is a survival game full of excitement and fun, integrating blockchain technology and intense gaming experience, with exciting gameplay and rich reward mechanisms. Players need to survive in an environment full of dangers and challenges, and compete fiercely with other players. The core feature of the game lies in the strategic game between players and between players and the environment, which tests the player's wisdom and reaction ability.
In each game, players who survive will receive tokens issued by the system as rewards. These tokens can be traded within the platform or used to purchase various props in the game to enhance the gaming experience. The game has a variety of scenarios and challenges. Players need to flexibly respond to various emergencies and use strategies and skills to increase their survival probability.
"Monster Escape" is an upcoming late-game survival genre video game that revolves around intense player-versus-player competition.
Gameplay is as follows:
Players participating in the game will select a room within the Monster Castle to take shelter from the pursuing killers. Once a room reaches its maximum capacity, a killer will be randomly chosen to eliminate all players within that room. Survivors from other rooms will evenly divide the medals from the eliminated room as rewards.
The game proceeds through the following stages:
1. Players choose a room.
2. They invest in MOLO (In-Game Monetary Offering).
3. When a room reaches its full capacity, the game commences.
4. The killer selects a target room and carries out the elimination.
5. Survivors share MOLO rewards evenly.
"Monster Escape" is positioned as an intense multiplayer survival game, where players strive to outlast each other and compete for prizes.
---
# 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://monster-lord.gitbook.io/monsterlord/monster-games/monster-escape-later.md?ask=&goal=
```
`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.