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Promote with Leviathan NewsPharos Watch is a new open-source analytics and alerting tool from on-chain researcher TokenBrice that lets users evaluate how “stable” a stablecoin really is by monitoring peg performance, risk, and on‑chain signals across a large universe of assets. Built as an extension of the existing Pharos stablecoin intelligence dashboard, Pharos Watch focuses on real‑time alerts, safety scores, and early‑warning indicators rather than price alone, with the goal of making professional‑grade monitoring accessible to any user. The broader Pharos platform tracks over 150 stablecoins across 18 peg currencies, covering fiat‑backed, crypto‑collateralized, and other designs. It calculates multi‑dimensional safety ratings (including peg stability, liquidity, resilience to admin controls, decentralization, and dependency risk), flags depegs and systemic threats, and publishes a daily AI‑generated market digest, all as a free public good with no accounts, wallet connections, or monetization. Pharos Watch adds an alert layer via tools like the PharosWatchBot for Telegram, which sends notifications on depegs, changes in early‑warning “DEWS” threat bands, and shifts in safety grades, aimed at users who do not want a dashboard open all day. This launch comes amid rising concern that the growing stablecoin sector—now a core piece of crypto market infrastructure—lacks transparent, systematic risk monitoring for non‑experts. By packaging extensive on‑chain metrics into accessible scores and proactive alerts, Pharos Watch is intended to help traders, protocols, and ordinary users better assess the reliability of the stablecoins they hold or integrate. The tool also emphasizes non‑USD pegs and wrapper/dependency risk (for example, stablecoins backed by other stablecoins), areas that are often under‑analyzed despite their importance to systemic stability. As stablecoins continue to underpin DeFi liquidity, payments, and collateral markets, public, open‑source monitoring layers like Pharos and Pharos Watch aim to reduce information asymmetry between large institutions and regular on‑chain participants.
AI-generated background, compiled from web sources — not editorial content.
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