Datai Network and Coreon MCP Partnership

Recently, Datai Network and Coreon MCP announced a strategic alliance aimed at enhancing the practicality of blockchain data for AI agents. This partnership combines Datai’s structured high-frequency blockchain data streams with Coreon’s multi-step ToolCall implementation.

> 🤝 CoreonMCP x Datai Network
> We’re thrilled to announce our partnership with @datainetwork.
> This collaboration takes us closer to unlocking real-time, AI-native Web3 intelligence for our community. @datainetwork delivers structured, high-frequency blockchain data streams.
> — Coreon (@CoreonMCP) September 12, 2025

This collaboration produces a network that delivers cleaner context, a higher ingestion rate, and more actionable intelligence to developers creating autonomous code in Web3.

What Datai Delivers

Datai specializes in converting raw blockchain activity into structured signals suitable for AI systems.

Instead of raw logs and noisy event dumps, Datai provides normalized data streams capturing transactional trends, event associations, and timing indicators. This structured approach reduces preprocessing efforts and allows AI models to analyze market movements, token flows, and protocol events with greater accuracy. Additionally, having reliable temporal feeds enables developers to create monitoring dashboards, alert systems, and predictive agents more easily.

What Coreon Brings

Coreon focuses on agent workflows based on tools. Its multi-step ToolCall platform orchestrates the sequence of function calls, enabling agents to integrate external APIs, smart contract interactions, and decision-making logic effectively.

By integrating high-frequency data streams from Datai, Coreon agents can exhibit more context-aware behavior and react to on-chain changes with minimal latency. This combination facilitates intrinsic activities such as identifying liquidity events, evaluating potential risks, and implementing defensive trades or notifications. Coreon also emphasizes reproducibility and traceability, ensuring that automated interventions are both efficient and auditable.

Why This Matters for Web3 AI

This partnership seeks to address two persistent challenges in Web3 AI: signal quality and operational efficiency. AI agents require high-quality, timely data inputs, along with effective orchestration to act on their findings.

Datai and Coreon create a feedback loop where improved signals lead to smarter behavior, which in turn generates better information for further enhancement. In an ecosystem reliant on composable AI agents, this feedback loop is vital for both safety and performance.

Early Use Cases and Future Outlook

Potential applications include financial and developer ecosystems. Soon, plug-and-play agent templates based on Datai and Coreon integrations may be made available, reducing engineering costs and simplifying the development process.

This partnership signifies a major step forward for both companies in establishing a robust AI x Web3 infrastructure, poised to revolutionize autonomous agents to achieve faster, safer, and more reliable performance.