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CARV’s D.A.T.A. Framework 2.0: DeepSeek and CARV ID Integration for Enhanced Decision-Making

Press Releases Crypto News CryptoDaily UK CARV’s D.A.T.A. Framework 2.0: DeepSeek and CARV ID Integration for Enhanced Decision-Making

Santa Clara, California, February 14th, 2025, Chainwire

CARV, the leading AI-chain ecosystem for data sovereignty, has announced an upgrade to its groundbreaking D.A.T.A. (Data Authentication, Trust, and Attestation) Framework, marking a pivotal shift in how AI agents interact with on-chain and off-chain data.

With Phase 2, CARV’s D.A.T.A. framework becomes the first AI agent framework that seamlessly integrates verifiable on-chain data, cognitive AI reasoning, and economic self-awareness with token-driven intelligence, optimizing ecosystems and monetizing actions—turning AI from passive assistants into autonomous, decision-making entities.

This update introduces DeepSeek’s advanced reasoning models, CARV ID (ERC-7231 standard), and token-driven behavioral intelligence, allowing AI agents to process verifiable data, execute financial transactions, and interact dynamically with decentralized ecosystems.

“AI has long operated in silos, disconnected from economic and data ecosystems,” said Yukai Tu, CTO of CARV. “With D.A.T.A. Framework 2.0, AI agents are no longer just reactive tools; they are proactive, intelligent participants in a decentralized world—capable of reasoning, verifying, and transacting autonomously with economic self-awareness through token-driven intelligence.”

The Dawn of AI-Powered Web3 Economies

Traditional AI systems have relied on closed, unverifiable data sources, limiting their ability to interact meaningfully with blockchain economies. D.A.T.A Framework 2.0 changes this paradigm by equipping AI agents with:

Economic Intelligence: AI agents can own wallets, create digital assets, and execute transactions based on trust metrics and tokenized incentives.
Multi-Chain & Off-Chain Awareness: By leveraging CARV’s deep Web3 integrations, AI agents can now fetch, verify, and act on real-time blockchain data.
Token-Driven Trust Models: Agents adjust interaction patterns based on verified holdings and ecosystem contributions, making AI-driven platforms more secure and trustworthy.
Verifiable AI Reasoning: Through DeepSeek’s cognitive architecture

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Author: Crypto Daily™

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