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Canton Foundation Backs RedStone’s Open Pricing Tool with $1.55M CC Allocation

Cointelegraph · Yohan Yun

The Canton Foundation has approved nearly 15.8 million Canton Coins—valued at around $1.55 million at current market rates—to support the development of RedStone’s open pricing tool tailored for institutional clients.

The CC token is currently valued at approximately $0.0979, boasting a market capitalization of $3.91 billion per Coingecko data, alongside a 24-hour trading volume of $23.23 million.

The Canton Access and Privacy Standard (CAPS) enables institutions to utilize a unified market price for deal valuation without revealing agreed-upon settlement amounts to data providers, according to a Thursday announcement released to Cointelegraph.

Viv Diwakar, head of the Canton Foundation, emphasized that by backing initiatives like CAPS, the Foundation aims to create a shared privacy and licensing framework, allowing multiple data providers to contribute to the network.

Within this framework, blockchain oracle providers will publish a benchmark price to facilitate transaction value calculations.

The initial phase of development will focus on pricing solutions for tokenized funds, private-market assets, and structured products. Additionally, the pricing and licensing modules will be available under the Apache 2.0 open-source license to enable adaptation by other providers.

Since December 2025, RedStone has been supplying pricing data on Canton and collaborates with various ecosystem participants, including Temple Digital Group.

A May blog post from the Canton Network reported onboarding over 600 institutional clients, featuring names like Goldman Sachs, DTCC, BNY, and Franklin Templeton, with monthly transaction volumes reaching approximately $9 trillion.

The Canton Foundation’s investment in RedStone’s pricing tool reinforces efforts to build transparent, secure, and collaborative valuation systems that facilitate large-scale institutional participation.

Why it matters

This funding underscores a pivotal move toward creating interoperable, privacy-focused pricing standards that empower institutions to transact with greater confidence and efficiency.

Prepared from the source material with AI-assisted editing and checked against the supplied facts.

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