Xi: AI Exchange
  • Xi Overview
    • Introducing Trading Agents
    • Market Research
    • Competitive Landscape
  • Xi Ecosystem
    • For Retail Traders & Investors
    • For Professional Traders
  • $Xi Token
    • Purpose & Utility
    • Staking
    • VIP Plan
    • Xi AI Credits
  • $Xi Tokenomics
    • Launch Phases
      • Token Presale
    • Token Presale
  • Airdrop
    • ICO Announcement
  • AI Trading Agents Protocol
  • AI Trading Agents Tokens
    • Enter AI Trading Agent Token Private Sales
    • Redeem AI Trading Agent Tokens
    • Trade AI Trading Agent Tokens
    • Stake AI Trading Agent Tokens
  • AI Trading Agents Tokenomics
    • Private Sale Distribution
    • Dual Token Price Structure
    • Collateralized Value Calculation
    • Supply Adjustment Mechanism
  • AI Trading Agents Rewards
    • Volume Fees Distribution
    • Performance Fees Distribution
  • Trading
    • Access and Register
    • Deposit Funds
    • Trade AI Agent Tokens
    • Swap AI Agent Tokens
    • Manage your Positions
    • Stop-Loss / Take-Profit Orders
    • Fees
  • Launchpad Calendar
    • Onos AI: USDT-xUSDT
  • Referrals
  • Roadmap
  • Partners
  • FAQs
    • About Xi
    • About AI Trading Agent Tokens
    • About the Ecosystem
    • About the User Experience
    • About Trust and Security
    • About Referrals and Rewards
    • About Participation and Community
  • Community
    • Updates
    • Groups
    • Media Kit
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On this page
  • AI Features Usage
  • Credit Purchasing
  • Token Burn from AI Usage
  • AI Subscription or VIP Credit Airdrops
  • Monetization and Sustainability
  1. $Xi Token

Xi AI Credits

Interacting with Xi’s powerful AI features requires AI credits, which are the platform’s internal resource for computational tasks.

$XI token is tightly integrated as the preferred payment method for these credits:

AI Features Usage

The Agentic AI (trader-specific AI agent) and Xi AI (general assistant) consume credits whenever they perform heavy computations – e.g., parsing large data, generating strategy insights, or posting on social media on behalf of traders. This usage incurs a cost (since behind the scenes, Xi likely pays for API calls to large language models or AI infrastructure).

Credit Purchasing

Users (traders or investors) can purchase AI credits in-app. If they pay using $XI, they receive a 10% discount on the pricefile-3rsahwbnxr4rhhfes2cgldfile-3rsahwbnxr4rhhfes2cgld. For example, if 100 credits cost $10 in fiat or stablecoins, the same might cost $9 worth of $XI. This provides a clear incentive to use the native token for all AI-related transactions.

Token Burn from AI Usage

Every time $XI is used to buy credits, a portion of it could be burned to reduce supply (though the document specifically mentions burn from transactions in general – see Tokenomics). In the first two years, 25% of all $XI spent in transactions is burned. So if someone spends 100 $XI on credits, 25 $XI would be permanently burned. This mechanism makes heavy AI users contribute to the deflation of the token, benefiting all holders by tightening supply.

AI Subscription or VIP Credit Airdrops

It’s plausible that Xi might offer bonus AI credits for VIP members or as part of staking (though not confirmed). For instance, a VIP 5 user could get a monthly allotment of AI credits to encourage them to utilize Agentic AI for their trading or community interactions. This would further marry the token ecosystem with the AI services.

Monetization and Sustainability

By charging for AI usage, Xi ensures that the potentially costly AI infrastructure is sustainably funded. More importantly, tying it to $XI creates another source of token demand. As the platform scales, if hundreds of traders enable Agentic AIs that post daily and interact with followers, the aggregate credit consumption could be significant, all paid in $XI. This essentially links the token’s value to the success of the AI features: the more traders use AI (to improve performance or engagement), the more $XI flows through the system (and a portion gets burned).

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Last updated 6 hours ago