Token Terminal, a provider of on-chain blockchain data, has partnered with CoinMarketCap to integrate standardized blockchain analytics into the crypto market platform and its artificial intelligence-powered research tool, CMC AI. The collaboration is intended to provide users with broader access to curated on-chain metrics, enabling more comprehensive market analysis and supporting AI-assisted research across blockchain networks. The partnership comes as artificial intelligence continues to play a larger role in digital asset research, increasing demand for reliable and structured data sources.
Under the partnership, Token Terminal will supply standardized on-chain datasets to CoinMarketCap and CMC AI, expanding access to blockchain analytics while strengthening AI-powered research capabilities. The integration is intended to make institutional-grade blockchain data available to a wider audience by incorporating Token Terminal's structured datasets into CoinMarketCap's products. The companies said the initiative is designed to improve the accessibility and consistency of blockchain information, allowing users to evaluate digital assets using standardized metrics.
Token Terminal has built its platform around collecting, organizing, and standardizing blockchain data for investors, researchers, and institutions. Through the agreement, its datasets will be incorporated into CoinMarketCap's ecosystem, where users will be able to access additional on-chain indicators alongside existing market information.
The companies indicated that the integration would strengthen the analytical capabilities of CMC AI by providing it with curated blockchain datasets. The additional data is intended to enable the AI platform to generate more informed analyses and support broader research workflows for users seeking blockchain-related insights. AI-based analytical tools rely on consistent datasets to generate meaningful results, making standardized blockchain information an increasingly important component of crypto market research.
CoinMarketCap Chief Product Officer David Salamon said reliable on-chain data had become an important requirement for next-generation blockchain research. He added that Token Terminal's standardized methodology, curated datasets, and broad data coverage would provide a dependable foundation for incorporating blockchain analytics into the company's products and AI-driven services.
Token Terminal said the agreement reflects a broader industry trend in which research platforms, analytics providers, and trading firms are increasingly relying on specialized on-chain data providers to support investment analysis and decision-making. As blockchain ecosystems continue to expand, market participants have placed greater emphasis on standardized data that can be compared across multiple networks. Structured datasets are increasingly being used to evaluate protocol activity, revenue generation, user adoption, and other blockchain performance indicators.
The companies said combining CoinMarketCap's global user base with Token Terminal's blockchain datasets is intended to improve the availability and usability of on-chain information for investors, developers, and researchers. The collaboration is also expected to contribute to broader adoption of data-driven research tools as digital asset markets continue to evolve.
What did Token Terminal and CoinMarketCap announce? Token Terminal and CoinMarketCap announced a partnership to integrate standardized on-chain blockchain analytics into CoinMarketCap's platform and its AI-powered research tool, CMC AI. Token Terminal will supply standardized on-chain datasets to expand access to blockchain analytics.
Why is standardized on-chain data important for blockchain research? Standardized on-chain data allows users to evaluate digital assets using consistent metrics that can be compared across multiple blockchain networks. AI-based analytical tools rely on consistent datasets to generate meaningful results, making standardized blockchain information an increasingly important component of crypto market research.
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