A new stablecoin analytics dashboard is revealed by TokenBrice, aka the "Mad stablecoin scientist"


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Promote with Leviathan NewsTokenBrice, a DeFi researcher and commentator who brands himself the “mad stablecoin scientist,” has launched Pharos, a free, open, research‑grade stablecoin analytics dashboard focused on risk, peg stability, and transparency in the stablecoin market. Pharos tracks more than 150 stablecoins, providing tools such as peg monitoring, early‑warning risk scores, safety ratings, and liquidity analysis, aiming to function as a public‑good data layer for stablecoin due diligence. According to the project description, Pharos is designed to address what its creator describes as a stablecoin “information vacuum,” where users, developers, and regulators often lack consolidated, independent metrics on how stablecoins behave under stress, how well they hold their pegs, and how their collateral and liquidity are structured. By aggregating and standardizing data across many issuers and chains, the dashboard seeks to make it easier to compare designs (fiat‑backed, crypto‑collateralized, algorithmic, and hybrid models), identify potential de‑peg risks early, and understand concentration and counterparty exposures in stablecoin markets. This launch fits into a broader wave of specialized stablecoin analytics tools—alongside institutional offerings such as Visa’s Onchain Analytics Dashboard—that reflect the growing systemic importance of stablecoins in crypto and onchain finance. In practice, a tool like Pharos matters for risk management, protocol design, and policy work: DeFi protocols can use its signals in treasury and collateral decisions; researchers gain a common dataset for studying stress events and market structure; and informed users can better distinguish between superficially similar stablecoins with very different risk profiles. As stablecoins increasingly serve as transactional and settlement rails, independent analytics of this kind are likely to become part of the standard infrastructure for assessing onchain monetary risk.
AI-generated background, compiled from web sources — not editorial content.

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