# Ame games

Ame72 organised several guessing games during which people had to guess the answer of a question. Winners were rewarded with a 1/1 "*Ame tag*".&#x20;

The complete set of "*Ame tags*" can be seen at:

{% embed url="<https://opensea.io/collection/ame-tags>" %}
Ame tags collection on OpenSea
{% endembed %}

**Winner and prizes**:

* Winner: ***DraftBeard***, Prize: Ame tag "*HELLO MY NAME IS DRAFT BEARD*"
* Winner: ***mooncat505***, Prize: Ame tag "*HELLO MY NAME IS BANKSCAT*"
* Winner: ***0xSniper***, Prize: Ame tag "*HELLO MY NAME IS 0XSNIPER*"
* Winner: ***Banksy's Shrink***, Prize: Ame tag "*HELLO MY NAME IS BANKSY'S SHRINK*"
* Winner: ***Lenorearts***, Prize: Ame tag "*HELLO MY NAME IS XAEFA-18*"
* Winner: ***Arcade Logic***, Prize: Ame tag "*HELLO MY NAME IS SLOWHED*"&#x20;
* Winner: ***Kinyozi***, Prize: Ame tag "*HELLO MY NAME IS KINYOZI*"
* Winner: ***Bobfell***, Prize: Ame tag "*HELLO MY NAME IS BOBFELL*"
* Winner: ***Stitch***, Prize: Ame tag "*HELLO MY NAME IS STITCH*"&#x20;
* Winner: ***sucksattrading***, Prize: Ame tag "*HELLO MY NAME IS BLEVO*"
* Winner: ***necrotic***, Prize: Ame tag "*HELLO MY NAME IS NECROTIC*"
* Winner: ***sprkyd | Dapper Dinos***, Prize: Ame tag "*HELLO MY NAME IS SPRKYD*"
* Winner: ***Luke5000***, Prize: Ame tag "*HELLO MY NAME IS LUKE 5000*"
* Winner: ***Eragon***, Prize: Ame tag "*HELLO MY NAME IS DOJI MONTOYA*"
* Winner: ***HundredHades***, Prize: Ame tag "*HELLO MY NAME IS HUNDRED HADES*"
* Winner: ***ScalpersHatchet***, Prize: Ame tag "*HELLO MY NAME IS SCALPER*"
* Winner: ***milan | WAGMI***, Prize: Ame tag "*HELLO MY NAME IS MILAN WAGMI*"

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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://tyrnis.gitbook.io/dojis/events/ame-games.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.
