TL;DR:
- Moody’s launched the Token Integration Engine, a network-agnostic tool to distribute credit analysis on blockchain.
- The agency now operates a node on the Canton Network and becomes the first rating firm to bring its analysis onchain.
- Additionally, Moody’s published its definitive methodology for rating stablecoins, focused on the quality of reserve assets.
Moody’s announced the launch of its Token Integration Engine (TIE), a tool designed to ingest financial data and distribute credit analysis directly within blockchain-based workflows. The agency became the first credit rating firm to bring its analysis to the onchain world, according to the company’s official announcement.
As part of the initial rollout, the firm operates a node on the Canton Network, a blockchain developed to meet the privacy and regulatory compliance requirements of institutional finance. The system is designed to be network-agnostic, allowing future expansion to other chains and financial instruments as adoption grows.
Moody’s – Canton: The New Standard for Institutional Markets
Yuval Rooz, co-founder of the Canton Network, noted that integrating independent credit analysis into the blockchain can reduce friction and improve transparency throughout the transaction lifecycle, without compromising regulatory compliance requirements. Moody’s specified that participation in the system will be issuer-led, enabling them to embed ratings directly into native blockchain processes.
The tool targets a segment that has been gaining weight across the industry and the market: institutional finance operating with tokenized assets that needs access to reliable credit information within its own digital workflows, without relying on sources external to the ecosystem.
A Methodology for Rating Stablecoins
Simultaneously, Moody’s published its definitive methodology for rating stablecoins. The framework assesses the credit quality of the reserve assets backing each token, alongside variables such as market value risk, liquidity, operational resilience and technological risk.
The methodology builds on a proposal presented in December 2025, which had already identified reserve transparency and asset composition as central factors. In practical terms, the approach means that two dollar-pegged tokens with a declared 1:1 backing could receive different ratings if the composition and quality of their reserves differ, introducing a layer of differentiation that had not previously existed in the market.
