Get Started
XGame · AI × Onchain Gaming

Own What You Play

Discover hand-picked on-chain games while exploring the AI infrastructure powering the next generation of autonomous game worlds.

Deployment Scenario
16
Game Worlds
2.4M
Agent Capacity
11.5T
Token-Eq / Month
2.9B
Decisions / Month
Global-scale model — scenario values · methodology →
Agent Grid2.4M capacity
Identity, scheduling & routing
World Memory32K–128K ctx
Episodic + semantic world history
Reasoning2.88B dec/mo
Decision loops per persistent agent
Game Worlds16 nodes
AxieMokuParty IconsPixelsWild Forest+11 worlds
Modeled reference architecture
XGame AI Network

A reference architecture for autonomous game worlds

Persistent AI agents operating across heterogeneous virtual worlds — one identity, one memory, many games.

  • Agent Grid coordinates modeled persistent identities under a declared capacity envelope.
  • World Memory retains relationships, inventories and world-state history between sessions.
  • Scenario engine projects agent workload at three deployment scales.
AI Research

Reference architectures

AI Lab

Everything you need to play and trade

Trending collections

View all →
CollectionFloor7d volume7d change
The Beacon: Cosmetics23 XUSD27K-24.5%
Chicken Saga: Feathers24 XUSD19.1K-21.6%
Atia's Legacy: Axies35 XUSD15.3K+3.2%
Moku Grand Arena: Mokis30 XUSD14.9K-17.5%
Pixels: Farm Land22 XUSD13K-24.3%
Chicken Saga: Genesis Flock25 XUSD12K+23.9%
Wild Forest: Unit Cards21 XUSD11.6K-17.3%
Ragnarok Landverse: Adamantine35 XUSD2,636-22.6%
AI Operations

Global-scale scenario console

How we model AI scale
XGAME://GLOBAL-SCALE
WORLD_NODES16
AGENT_CAPACITY2.4M
DECISIONS/MO2.88B
AGENT_EVENTS/MO37.4B
TOKEN_EQUIV/MO11.52T
MONTH_SIMULATION100.0%PROJECTED TOKEN EQUIVALENT · MODELED MONTHLY WORKLOAD
MODEL STATUSSCENARIO ACTIVE
MODELED GLOBAL-SCALE SCENARIO · NOT LIVE TELEMETRY