S&P Dow Jones Indices and Pantera Capital have unveiled a new rules-based digital asset index that measures blockchain network activity using protocol revenue rather than token prices or market-capitalization rankings alone. Pantera, founded in 2013 and one of the earliest institutional venture and hedge fund firms focused exclusively on digital assets, partnered with S&P to bring a fundamentals-driven lens to crypto indexing—a approach more familiar in traditional equity markets, where revenue and cash flow screens routinely sit alongside market-cap weighting. The launch reflects a wider shift in crypto benchmark design—moving from token-driven metrics toward product-driven indicators designed to identify networks generating sustained economic usage.

According to a joint announcement from the firms, the index builds on the S&P Cryptocurrency Broad Digital Asset Index as its starting universe. It then filters for networks meeting minimum thresholds across protocol revenue, market capitalization, and liquidity. Protocol revenue refers to the fees a blockchain network collects from its core operations—transaction processing, smart contract execution, and related economic activity—making it a direct measure of how much users pay to use a network rather than how the market values its token. Qualifying networks are ranked by aggregate protocol revenue over the preceding two quarters and weighted using adjusted market capitalization. Portfolio concentration controls include a 35% cap on the largest holding and approximately 20% caps on remaining constituents. The index rebalances quarterly and is designed for institutional allocation, with potential applications as a reference for investment products and actively managed digital asset portfolios.

A Benchmark Grounded in Protocol Revenue

The S&P Pantera Digital Asset Index differs from many traditional crypto benchmarks through its selection logic. Rather than using market capitalization as a direct proxy for network value, the index is engineered to distinguish established blockchain activity from speculative exposure by centering on protocol revenue generation.

In practice, the index begins with the S&P Cryptocurrency Broad Digital Asset Index universe and applies eligibility thresholds for protocol revenue, market capitalization, and liquidity. Networks that fail to meet any of these requirements are excluded before ranking. The ranking mechanism relies on aggregate protocol revenue over the prior two quarters, an approach intended to smooth short-term activity spikes while ensuring that inclusion remains tied to measurable economic output.

After ranking, constituents are weighted by adjusted market capitalization, blending the revenue filter with broader market-scale considerations. The index includes explicit concentration limits to prevent any single network from dominating performance—a feature aimed at institutional users who expect diversified benchmark behavior.

By construction, the methodology is designed to reduce reliance on token market sentiment as the primary driver of inclusion and weighting. This means the index may diverge from market-cap-led benchmarks during periods when token prices and on-chain economics move in different directions.

Initial Constituents and Notable Exclusions

At launch, the index comprised 18 constituents. An S&P Dow Jones Indices Indexology blog post published alongside the rollout identified Ether (ETH), BNB (BNB), Solana (SOL), TRON (TRX), and Hyperliquid (HYPE) as the five largest holdings. TRON's inclusion alongside ETH and SOL reflects the network's substantial transaction fee generation, particularly from stablecoin transfers and high-volume payment activity. Hyperliquid, a decentralized perpetuals trading platform, represents a newer class of DeFi protocols whose on-chain trading activity generates measurable protocol-level revenue.

The same blog post compared the new revenue-based selection methodology against the S&P Cryptocurrency Broad Digital Asset Index and noted that Bitcoin (BTC) and XRP (XRP) were the largest non-constituents under the new framework. Bitcoin's exclusion is particularly striking given its dominance of total crypto market capitalization, and it stems from a structural distinction: Bitcoin's protocol generates revenue primarily through base transaction fees and block rewards rather than the smart contract execution fees that drive revenue on platforms like Ethereum and Solana. This contrast underscores the asymmetry introduced by protocol-revenue screening: even highly liquid or widely traded tokens may be excluded if they do not satisfy the index's protocol revenue criteria and related eligibility thresholds.

The benchmark is therefore not intended to replicate the largest coins by market capitalization. Instead, it is built around a distinct question—which blockchain networks generate sufficient protocol revenue, relative to their market presence, to qualify for institutional-style basket inclusion.

Institutional Positioning and the ETF Landscape

S&P positioned the index for institutional allocation in its announcement, noting that it may serve as the basis for investment products or function as a reference benchmark for actively managed portfolios. While the launch does not automatically lead to a spot ETF or any specific product, it underscores the growing role of index providers in translating crypto market theory into investable benchmarks.

The release comes as major market participants continue developing multi-asset and rules-based frameworks suitable for asset managers operating under traditional risk and governance standards.

Cointelegraph previously reported that Hashdex launched the Nasdaq Crypto Index US ETF on February 14, 2025, described as the first multi-asset spot crypto exchange-traded fund in the United States. Shortly thereafter, Franklin Templeton introduced the Franklin Crypto Index ETF on February 20, 2025, which tracks Bitcoin and Ether via the market-cap-weighted US CF Institutional Digital Asset Index.

The sector's index-first momentum has extended beyond spot crypto boundaries. Earlier reporting cited MarketVector Indexes and Coinbase Asset Management launching the Coinbase Store of Value Index in April, a benchmark combining Bitcoin and tokenized gold using an inverse-volatility weighting model—demonstrating how crypto benchmarks are increasingly packaged alongside traditional diversifiers.

Cointelegraph also noted remarks from Bitwise chief investment officer Matt Hougan, who argued that crypto index funds would be "a big deal in 2026" as the market becomes more complex and investors seek broader exposure rather than attempting to predict individual network winners. Hougan's forward-looking comments align closely with the rationale behind S&P and Pantera's protocol-revenue approach: diversification becomes easier to justify when benchmark rules are transparent and grounded in a defined economic metric.

S&P's Expanding Digital-Asset Benchmark Suite

The new index also fits within a broader pattern at S&P Dow Jones Indices, which has been steadily building digital-asset benchmark offerings designed to translate crypto performance into familiar institutional product structures.

In October, S&P Dow Jones Indices introduced the S&P Digital Markets 50 Index, a composite combining 15 cryptocurrencies with 35 publicly traded companies connected to the crypto ecosystem. The contrast with the new revenue-based index is notable: the Digital Markets 50 Index employs a cross-asset structure spanning token networks and equity exposure, while the S&P Pantera Digital Asset Index concentrates on network economic activity and liquidity criteria—narrowing the focus from crypto as an industry to crypto as protocol usage.

Both initiatives point in the same direction: constructing benchmarks capable of supporting institutional research, portfolio construction, and eventual product engineering.

Going forward, investors and index users will likely focus on two practical questions: how the protocol revenue thresholds and revenue-based ranking perform as network economics evolve, and whether future constituents shift meaningfully as quarterly rebalancing updates revenue inputs. The index's concentration caps are designed to manage risk, but the primary consideration will be whether the revenue filter can consistently distinguish durable network activity from short-lived speculative cycles.