Core Products

AverAI’s core product is a mobile-first investment platform powered by AI trading agents. Users deposit funds into vaults managed by autonomous strategies, each continuously ranked and optimized by a performance engine. Over time, these agents are enhanced by Infofi, our real-time intelligence layer that brings sentiment signals, narrative awareness, and predictive analytics into the vault logic.

2.1 AverAI Launchpad

A bias-resistant platform for high-potential token launches.

  • AI Evaluation: Agents score projects based on:

    • Tokenomics (supply, vesting, utility).

    • Team credibility (doxxing, past projects).

    • Audit history (smart contract risks).

    • Community traction (social sentiment).

  • Dynamic Allocation: Staked $AVR holders receive tiered access.

  • Risk Transparency: Real-time warnings (e.g., "High emission schedule risk: 7/10").

2.2 AverAI Portfolio Manager

Non-custodial vaults tailored to user risk profiles.

  • Strategies: Ranging from low-risk (stablecoin yield) to high-growth (L1/L2 staking).

  • AI Rebalancing: Adjusts allocations based on market conditions (e.g., ETH merge, exploit risks).

  • Performance Fees: 10% of profits (discounted for $AVR stakers).

2.3 AverAI-Powered Exchange

Decentralized perpetual trading with AI edge.

  • Agent Vaults: Subscribe to top-performing trading bots (ranked by ROI/drawdown).

  • Predictive Tools: Auto-liquidation protection, trailing stops, volatility alerts.

  • Transparent Competition: Developers earn fees from subscribers; underperformers lose staked $AVR.

2.4 Infofi Intelligence Stack

The Infofi Intelligence Stack fuses machine intelligence with community wisdom to transform real-time data and user behavior into actionable financial signals. This dual-layer architecture empowers users, vaults, and protocols to continuously adapt, optimize, and evolve—turning Aver into a decentralized intelligence network.

2.4.1 Social Intelligence Engine

  • Reputation-Weighted Governance: Dynamic on-chain reputation scores influence voting weight and unlock protocol perks. Poor behavior is slashed.

Reputation Score =  (0.35 * Portfolio Performance) +  (0.25 * Trading Strategy Accuracy) +  (0.2 * Governance Participation) +  (0.15 * Community Contributions) -  (0.05 * Penalties)

  • Real-Time Social Sentiment Oracles: Narrative analysis drives vault hedging, risk tuning, and Launchpad prioritization — before price reacts.

Workflow:

  • Data Aggregation:

    • AI scrapes X (Twitter), Discord, and governance forums via decentralized nodes.

  • Sentiment Processing:

    • NLP models classify bullish/bearish signals (e.g., "ETH merger hype" = 85% bullish).

  • On-Chain Integration:

    • zkML proofs verify sentiment scores before triggering actions:

      • Portfolio Manager: Shifts 5% to stables if "fear" score >70%.

      • Perp DEX: Lowers liquidation thresholds during "greed" spikes.

  • Social Yield Farming: Users earn $AVR by curating projects, writing content, or reporting bad actors. AI validates value-added contributions.

  • Federated Learning: Users can opt-in to provide zkML-protected behavioral data, helping refine Aver’s AI models and earning rewards.

  • Sentiment Derivatives & Alpha Leaks: Access narrative-driven Alpha Reports as NFTs or trade social sentiment as tokenized derivatives.

2.4.2 Signal Intelligence Engine

The Signal Intelligence Engine transforms raw market data into actionable intelligence through a muli-layered AI pipeline.

  • AverSignals

    • Trade Setup Generator: AI models simulate entry/exit scenarios based on price action, volume, and macro trends.

    • Confidence Score: Every signal is ranked by accuracy likelihood using backtested probability models.

    • Vault Sync: Users can 1-click apply signals to their AI Vaults or Perp DEX strategies.

Sample Signal Output

{
  "asset": "ETH/USDT",
  "direction": 1,
  "entry_range": [3420, 3450],
  "targets": [3550, 3720],
  "confidence": 0.82,
  "model_consensus": [0.79, 0.85, 0.81]
}

  • InsightStream

    • Narrative Analyzer: NLP models parse trending narratives (e.g., “Solana resurgence”).

    • On-Chain Scanner: Detects volume spikes, new wallets, DAO votes.

    • Market Summary: Curated insight streams highlight what matters most today, reducing information fatigue.

Sample Output

[Narrative Alert] "L2 Yield Wars" detected

Confidence: 88%

Affected Assets: ARB, OP, STRK

Historical Correlation: 0.76

  • Smart Market Alerts+

    • Whale Watch: Detects sudden movements of large wallets and contract interactions.

    • Exploit Detector: Scans DeFi protocols for suspicious activity or flash loan attacks.

    • Gov Monitor: Flags proposals or governance shifts on protocols you’re exposed to.

    • Alert Rating Engine: Assigns an impact score to each alert (Low, Medium, Critical).

  • Conversational AI Assistant Users can interact with an in-app assistant to:

    • User Query Input: Users can ask things like “What’s trending today?” or “Why is my vault down?”

    • Portfolio Context: Understands user's holdings, strategies, and positions.

    • Response Generator: Returns concise, actionable answers using natural language.

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