Foundational Data powering POG-E

POG-E leverages data from diverse gaming sources including but not limited to KGeN proprietary data as follows:

KGen Proprietary Data

KGeN has built distributed data lakes and ETLs to store very deep gamer attributes based on gamer engagement on the KGeN platform. POG-E will leverage this proprietary data of over half a billion (and growing) attributes across 15 million gamers (and growing) to build an augmented gaming LLM in conjunction with open source LLMs.

KGeN proprietary data is classified into below cohorts and each of these cohorts and or in conjunction with other cohorts will help game developers, gamers and traders to get insights to build their Agents.

1. Community and Player Interaction Data

• Discord Servers: Community chats, feedback, and trends.

• Clan data

1. Behavioral and Psychological Data

• Player analytics, psychological studies, and whitepapers.

1. Engagement Data

• Quests, leaderboards, rewards, tournaments,

• Esports: Match analytics and strategies.

• Beta testing feedback.

1. In-Game Data

• Game Logs: Action records, events, and server-side interactions.

• Gameplay Data: Player performance metrics and behaviors.

• Proof of Gamer (POG): Engagement and achievement data.

1. Social Data (Owned Channels)

• Social Media: Twitter gaming trends and memes.

• Player Reviews: Discord servers

• Twitch and YouTube: Gameplay videos, chat logs, and content insights.

Gaming Ecosystem Data

1. Market and Trend Data

• Gaming market trends

• Game commerce, genre movement, revenue trends

• Crypto gaming trends

1. Social Media Platforms

• Twitter, Discord, Instagram, Twitch, Youtube, Tiktok, Steam, and app store feedback.

• Forums and Boards: Reddit (e.g., r/gaming), Discord, Steam discussions.

1. Synthetic Data

• AI-generated scenarios.

1. External Data

• Pop culture trends, language corpora, and historical references.

1. On-Chain Data

• On-chain data, token holders, price movements, NFT ownership, and airdrops