---
title: "Fintail Reef Kyte"
url: "https://waxpeer.com/zh/dota2/fintail-reef-kyte/item"
game: "Dota 2"
lang: "zh"
currency: "USD"
updated: "2026-10-06T05:47:06.445Z"
---

# Fintail Reef Kyte

Dota 2 › Luna › Mount › Fintail Reef Kyte

Updated: 2026-10-06 05:47 UTC. Prices and listings change often.

## Price

- Lowest listed price: $0.004
- Highest listed price: $0.023
- Listings for sale: 298
- Reference price: $0.03
- Currency: USD

## Details

| Attribute | Value |
| --- | --- |
| Rarity | Mythical |
| Rating | 4.17 / 5 (531 votes) |

## Featured listing

The listing the item page offers first ("Buy now"). Other listings of this item have their own float and seed.

| Attribute | Value |
| --- | --- |
| Price | $0.004 |
| Typical delivery | about 1 minute |

## Sale orders (first 8 of 298)

| Price | Exterior | Float | Typical delivery |
| --- | --- | --- | --- |
| $0.004 |  |  | about 1 minute |
| $0.004 |  |  | about 1 minute |
| $0.004 |  |  | about 1 minute |
| $0.004 |  |  | about 1 minute |
| $0.004 |  |  | about 1 minute |
| $0.004 |  |  | about 1 minute |
| $0.004 |  |  | about 1 minute |
| $0.004 |  |  | about 1 minute |

## Description

Astride a fintail reef kyte and protected against the crush by an enchanted helm, the moon rider serves as Selemene's champion and emissary in forging undersea alliances and keeping creatures of the deep at bay.

## How to buy on WAXPEER

1. Log in with your Steam account.
2. Add your Steam trade URL, so items can be sent to you.
3. Top up your WAXPEER balance. Available methods include cryptocurrency, bank cards and other local payment methods, depending on your country.
4. Buy the item. The seller sends it to you in a Steam trade offer, which you accept in Steam.

Some listings are under a Steam trade lock and show the date the lock ends. You pay the listed price now, with no surcharge, and delivery starts automatically when the lock ends.

## Links

- Item page: https://waxpeer.com/zh/dota2/fintail-reef-kyte/item
- Marketplace: https://waxpeer.com/zh/dota2
- Site guide for AI agents: https://waxpeer.com/llms.txt