CARV blends DeepSeek and CARV ID to power AI agents in Web3
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CARV, the AI-powered Web3 ecosystem focused on data sovereignty, is enhancing its D.A.T.A. (Data Authentication, Trust, and Attestation) Framework.
This latest version changes how AI agents interact with blockchain and off-chain data, making them more than just helpful assistants. Now, they can reason, verify information, and make economic decisions on their own.
From assistants to autonomous decision-makers
With Phase 2 of the D.A.T.A. Framework, CARV is turning AI agents into independent players in the digital economy. It’s the first AI framework that blends verifiable blockchain data, advanced reasoning capabilities, and token-based intelligence. These agents can now handle transactions, process data across different platforms, and adjust their behaviour based on economic incentives—all without human intervention.
Yukai Tu, CARV’s CTO, said: “AI has long operated in silos, disconnected from economic and data ecosystems. With D.A.T.A. Framework 2.0, AI agents are no longer just reactive tools; they are proactive, intelligent participants in a decentralised world – capable of reasoning, verifying, and transacting autonomously with economic self-awareness through token-driven intelligence.”
What’s under the hood?
The update introduces several game-changing features that put these AI agents on a whole new level:
- Economic intelligence: AI agents can now hold crypto wallets, create digital assets, and carry out financial transactions based on token incentives and trust scores.
- Multi-chain + off-chain awareness: Agents can access live blockchain data and cross-check it with off-chain sources, giving them a broader view of the ecosystem.
- Token-driven trust models: Agents alter their behaviour in response to token holdings and user contributions, resulting in a trust layer that aligns economic incentives with AI decision-making.
- Verifiable AI reasoning: Thanks to DeepSeek’s reasoning models, AI agents can analyse data, break down their thought process, and validate their conclusions before taking action.
These enhancements mean that AI agents can operate with more precision and autonomy, whether they’re executing trades, voting on governance proposals, or managing digital assets.
Smarter decision-making with cognitive AI
The brains behind these AI agents come from techniques like chain-of-thought processing and reinforcement learning. Here’s how it works:
- Step-by-step reasoning: Before making a move, the AI lays out its reasoning in steps, reducing rash decisions.
- Self-checks: The agent verifies its own conclusions, helping catch errors.
- Learning by doing: Every transaction and interaction helps the AI refine its strategies over time.
This cognitive layer gives the agents more adaptability, improving their performance in the fast-changing world of Web3.
CARV ID: Linking identity to trust
Another big addition is CARV ID (built on the ERC-7231 standard), which ties blockchain activity to online identities like Twitter, Telegram, and Discord. This allows AI agents to:
- Verify user reputation across platforms.
- Personalize interactions based on social and on-chain data.
- Monetise engagement and support sustainable token ecosystems.
By bridging Web3 identities with Web2 reputations, CARV is helping AI agents understand the people they interact with, enabling them to build trust-based relationships within decentralised communities.
Why it matters
For a long time, AI has mostly worked in isolation – pulling data from closed systems and lacking the ability to operate independently within blockchain networks. CARV’s D.A.T.A. Framework 2.0 flips that model, bringing AI into the heart of the Web3 economy.
This means AI agents can now engage with the real financial world, driving transactions, optimising ecosystems, and even shaping token economies – all with built-in safeguards like verifiable reasoning and token-driven trust.
Yukai Tu said: “The integration of DeepSeek into CARV’s D.A.T.A. Framework marks a turning point in AI development. We are shifting AI agents from passive tools to self-evolving, economically aware entities that engage autonomously with both data and digital assets. By merging reasoning, trust, and decentralised intelligence, we’re setting a new standard for AI’s role in the Web3 ecosystem.”
Developers can start building with D.A.T.A. 2.0 now – ushering in a new wave of autonomous, economically smart AI systems.
(Photo by Unsplash)
See also: AIvalanche DeFAI Agents introduces first Deepseek-powered AI on Avalanche
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