What is Theoriq (THQ)?

By CMC AI
16 December 2025 09:04PM (UTC+0)

TLDR

Theoriq (THQ) is an Ethereum-based protocol that integrates AI-driven autonomous agents to automate decentralized finance (DeFi) strategies, aiming to simplify complex on-chain actions like yield optimization.

  1. AI-Powered DeFi Automation – Enables autonomous agents to execute real-time financial strategies.

  2. Developer-Focused Infrastructure – Provides tools to build, deploy, and scale AI agents onchain.

  3. Reputation-Driven Tokenomics – $THQ serves as a governance and staking token, rewarding users who support high-performing agents.

Deep Dive

1. Purpose & Value Proposition

Theoriq addresses DeFi’s manual complexity by automating strategies through AI agents. These agents perform tasks like yield farming and liquidity management, reducing the need for constant user intervention. Its AlphaVault protocol, which reached $21M in total value locked (TVL) during testing, demonstrates how AI agents can manage capital efficiently (CoinMarketCap).

2. Technology & Architecture

Built on Ethereum, Theoriq’s Mainnet integrates three layers:
- Agent Logic: Developers use the Agent SDK to create verifiable AI agents.
- Execution Infrastructure: The Messaging Bus ensures secure communication between agents and smart contracts.
- Liquidity Access: Agents interact with protocols like Lido and Uniswap via AlphaProtocol.
Policy cages—smart contract rules—restrict agent actions to ensure transparency and safety (Crypto.News).

3. Tokenomics & Governance

$THQ’s utility includes:
- Staking: Users stake $THQ to earn sTHQ, contributing to network security.
- Reputation System: Future plans let users stake tokens behind high-performing agents, with slashing penalties for underperformers.
- Governance: Holders will vote on protocol upgrades and agent policies.

Conclusion

Theoriq reimagines DeFi by combining AI automation with blockchain infrastructure, targeting both developers and users seeking passive yield generation. As its ecosystem expands, a critical question remains: Can AI agents sustainably outperform manual strategies while maintaining security in volatile markets?

CMC AI can make mistakes. Not financial advice.