Real-time Market Data
Track market activity across crypto, stablecoins, and selected real-world asset categories through structured dashboards and live indicators.
AI-Powered Data, Signals, and Ratings for Real World Assets

Connecting global elite resources to co-create on-chain RWA standards.










From data and research to visualization, designed to present key information in one place.
Track market activity across crypto, stablecoins, and selected real-world asset categories through structured dashboards and live indicators.
Turn complex information into clear dashboards, charts, and visual summaries for internal review and communication.
Provide structured report formats for sector reviews, project analysis, asset structure mapping, and compliance-related observations.
An intuitive framework for reviewing RWA structures, identifying risk exposures, and assessing institutional-grade credit quality.
An AI research assistant designed for digital asset and RWA use cases, supporting Q&A, summarization, and workflow assistance.
Aggregate market updates and policy developments to help teams track events that may affect sentiment, pricing, and liquidity.
A structured research section designed for readability and comparison.

Latest research report from CoinFound.

标普“稳定性之尺”、Tether“市场之辩”、与“影子央行”转型

Derivatives Expansion, RWA Foundations, and Cross-Market Arbitrage

衍生品繁荣、RWA 基石与跨界套利指南
A more explainable framework for reviewing structure, risk exposure, and credit quality across real-world asset products.
Use a standardized framework to review assets, legal arrangements, cash-flow design, and on-chain context in a clearer and more comparable format.

Standardized rating outputs built around cash-flow quality, legal structure, security of underlying assets, and reserve design.

In-depth due diligence analyzing legal wrappers, compliance, oracle reliance, off-chain custody, smart contract integrity, and on-chain liquidity.

Underlying data solution providing time-series on-chain risk metrics, historical credit events, price deviations, and dynamic proof-of-reserve signals.
A cleaner layer for turning scattered information into usable context for research, review, and communication.
Bring projects, assets, and market context into one research language for investment review, partnership discussion, and internal reporting.
Present asset quality, transparency, and operating status through structured data to improve external understanding.
Combine research, ratings, dashboards, and download access into one consistent product narrative.