Expanding Tokenized Asset Markets Fuel Rising Demand for Robust Data Infrastructure

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On September 15, the foundational development of the tokenization market is shifting its focus from asset issuance to comprehensive data services. As reported by Cointelegraph on September 14, a strategic investment from S&P Global has raised Kaiko's total Series B funding to $110 million. Moneta Markets highlights that these new funds are earmarked for expanding digital asset data operations and enhancing the infrastructure required to support a wider array of on-chain financial products.

While Treasury bills, funds, equities, and bonds can all adopt a tokenized format, the valuation principles underpinning each asset class differ significantly. Moneta Markets emphasizes that data providers must clearly explain the source of pricing and the conditions under which it is applicable. It is crucial to distinguish between genuine trades, reference valuations, and model-based quotes; otherwise, seemingly precise figures can lead to misinterpretations across various business use cases.

For example, during periods when traditional securities markets are closed, on-chain assets may still change hands. The transaction price recorded during these hours reflects the immediate trading demand at that moment, which may not necessarily correspond to the instantly redeemable value of the underlying asset. If automated business processes rely directly on this price, they require robust anomaly detection and validation protocols to avoid costly errors.

Timeliness is only one facet of the challenge; whether a price is suitable for the intended application is equally critical to the integrity of the entire operational workflow. Furthermore, when data revisions occur, it is essential to preserve the original versions alongside the reasons for the corrections. This ensures that different stages of the business can reliably audit the actions that were previously executed based on the original data.

The establishment of industry working groups is expected to promote collaborative discussions among participants to standardize data definitions and metrics. Moneta Markets analysis suggests that the effectiveness of these initiatives can be measured by observing the expansion of asset coverage, the efficiency of handling anomalous quotes, and the traceability of historical data. While the scale of recent funding reflects an increase in construction resources, the true value of these services ultimately lies in whether data can be consistently understood and reliably used across trading, custody, and settlement functions.

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