Covalent price

How can @Covalent_HQ, @Surf_Copilot, and @TheoriqAI collaborate to build an AI indexing-based on-chain data infrastructure? Summary Covalent supplies cryptographically verifiable ultra-low latency multi-chain data, while Surf combines that data with social signals to transform it into human-readable research and execution prompts. TheoriqAI utilizes the same dataset to enable autonomous agent clusters to automatically execute DeFi opportunities. The three platforms are integrated based on joint governance (DAO 3.0) and cross-chain standards (IBC v2 and Chainlink CCIP), providing a real-time immutable analytical framework that can be trusted by both humans and machines. Joint Architecture Overview Covalent streams data from over 132 chains in the form of an integrated API, while Surf provides an interface for visualizing and interpreting that data. TheoriqAI receives the same data stream in the form of an SDK, converting it into actionable strategies for autonomous agents. The integration of the three platforms is possible through SDK-based configuration combinations rather than writing new code. Data Structuring for AI Learning and Validation Covalent's ELT indexing method retains the original block data and performs transformations upon querying to enhance auditability. Block specimens extracted directly from node clients prove the authenticity of specific chains and block heights. All chains are integrated into JSON and SQL standard schemas, allowing Surf and TheoriqAI to call data with the same field names. Additionally, the GoldRush streaming API transmits events with less than one second of latency via WebSocket, while the Chainlink data stream combines external prices at the transaction hash level. AI-Friendly Context Wrapper The Model Context Protocol includes units and sources for each data field, enabling language models to infer without misunderstanding. The Vector Sidecar provides vector embeddings that allow Surf to analyze similar wallet behaviors, and ZK-Verified SQL generates proofs that guarantee the accuracy of results while processing large-scale operations off-chain. Real-Time Data Flow When a user inputs a prompt in Surf, the AI identifies the necessary on-chain metrics and calls data from the Covalent stream. Surf generates a results report and execution options, and when the user activates autonomous mode, the same data is sent to TheoriqAI's portal agent. The agent cluster negotiates execution strategies based on verified evidence and performs on-chain transactions, subsequently recording the results and evaluation scores back to Covalent. Governance and Interoperability Standards Cross-chain data movement is ensured through IBC v2 and Chainlink CCIP, and the identity of agents is managed by the AgentID NFT under the ERC-8004 standard. The DAO 3.0 model includes a substructure for joint decision-making between humans and AI, and data sources are recorded in a W3C verifiable credential format. In terms of regulation, it complies with the transparency provisions of the EU AI Act and the US GENIUS Act. Roadmap In Q1 2026, Covalent streaming will be integrated into the Surf backend, and in Q2, Surf's research data schema will be made public. In Q3, TheoriqAI's AlphaSwarm v2 will be able to read the Surf schema directly, and in Q4, a joint DAO combining the dual staking modules of CXT and THQ will be launched. By 2027, the IBC v2 and CCIP bridges will be completed, allowing all agents to move proof data across chains. Key Advantages and Challenges This system eliminates manipulation risks through block specimen-based data validation and minimizes delays between analysis and execution with sub-millisecond data streams. The integrated schema structure facilitates the expansion of new chains, and the dual staking of CXT and THQ incentivizes both data quality and agent performance. However, ongoing management is required to address challenges such as spikes in cross-chain fees during market volatility, balancing user privacy and transparency, and regional regulatory differences. Conclusion By combining Covalent's verified data backbone, Surf's AI analytical interface, and TheoriqAI's autonomous execution engine, on-chain data analysis evolves beyond static dashboard stages into a living agent-centric data ecosystem. The introduction of common schemas, proof standards, and DAO 3.0 governance lays the foundation for a trusted real-time financial infrastructure shared by humans and machines.

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AttentionFi hits onchain where mindshare finally converts to reward. @wallchain fuses X signals + wallet proofs into a scored leaderboard across partner campaigns real payouts, no vesting How it works • Quack daily with real engagement → AI score tallies mindshare • Optional onchain boosts → verified wallets and deposits • Monthly epochs with tokens up for grabs: $VELVET $CXT $ANLOG $IDOS Traction • 150k+ quackers, 1M+ posts/month • Velvet views ramped 38k → 1.15M/day • $1M+ rewards distributed; claims unlock in full Things to consider • Ranks refresh on daily algo cycles → expect lag, keep consistency • ZK-anon proofs (Stage 2) coming in Q4 → privacy-first scoring • No native token yet; partner distributions drive value Deadlines • Covalent E3 ends Nov 16 • Velvet E1 ends Nov 24 • Analog E1 ends Nov 21 • idOS E2 live now for Top 1,000 If you’re already grinding X, route it into #Quack with @wallchain and stack #InfoFi yield from mindshare