Recently, DataI Network and Coreon MCP have declared a strategic alliance that makes blockchain data more practical when used by AI agents. The partnership combines DataI’s structured high-frequency blockchain data stream with Coreon’s multi-step tool call implementation.
coreonmcp x datai network
We are pleased to announce our partnership with @datainetwork.
This collaboration brings you closer to unlocking real-time AI-Native Web3 intelligence.– Coreon (@coreonmcp) September 12, 2025
This creates a network that provides cleaner context, higher intake rates and more practical intelligence for developers writing autonomous code on Web3.
What Datai offers
Datai is a company that deals with transforming raw blockchain activities into structured signals that can be consumed by AI systems.
Rather than raw logs or noisy event dumps generated, Datai generates normalized data streams that capture transaction trends, event-related, and timing indicators.
This structure leads to a decrease in pre-processing efforts, allowing AI models to more accurately study market movements, token flows, and protocol events. Having a predictable temporal integrity-based feed allows developers to create monitoring dashboards and create systems and forecast agents more easily.
What Coreon brings
Coreon is interested in tool-based agent workflows. The Multi-Step Tool Call Platform coordinates a set of function calls that allow agents to package external APIs, smart contract interactions, and decision logic.
The integration of high-frequency data streams into DataI allows the Coreon agent to perform more context-aware behavior and respond to changes on the chain with very low latency. This combination performs unique activities such as identifying liquidity events, assessing potential risks, and defensive transactions/notifications.
Coreon focuses on reproducibility and traceability, ensuring automated interventions are efficient and auditable.
Why this is important for Web3 AI
The team aims to solve two long-standing problems with Web3 AI. Signal quality and tool execution. AI agents require quality and timely data entry in addition to effective orchestration to interact with the findings.
To some extent, DataI and Coreon implement feedback loops, with improved signal behaviors resulting in smarter behaviors, and behavior improves improved information. For ecosystems that rely more on configurable AI agents, this loop is as important from a safety standpoint as it is performance.
Early Use Cases and Future Outlook
Applications that may be created include the financial and developer ecosystem. In the near future, plug-and-play agent templates based on DataI and Coreon integration will be available to developers, reducing costs and simplifying the engineering process.
Going forward, the partnership is a major move between the two companies to enable an increasingly robust AI X Web3 infrastructure, and is expected to transform autonomous agents to achieve faster, safer, and more reliable autonomy.
