AI reshapes crypto media into data-provider battle

Blockworks acquired Messari on June 12, combining two large crypto data and research operations into a single platform that covers more than 40,000 digital assets. The purchase price was reported at more than $10 million; Messari had a valuation of roughly $300 million after its 2022 Series B.

Blockworks completed a funding round in April that valued the company at about $192 million and included participation from Coinbase Ventures. Company leaders plan to use the capital to buy competitors. Co-founder Jason Yanowitz has described the goal as building the Bloomberg of crypto.

Executives and investors point to a shift in revenue from articles to databases, feeds, terminals and APIs used by models, trading desks and compliance teams. Publishers that relied on ad and referral traffic report steady declines in clicks as AI-generated summaries appear directly in search results.

Search referrals to publishers fell about 33% globally in the year to November 2025, with U.S. referrals down about 38% and European referrals down around 17%. Referrals from a search app feature dropped about 21%, and by early 2026 roughly 58% of searches ended without a click to an outside site as AI summaries answered queries on results pages.

Financial information markets tend to move from reporting and opinion to research, then to standardized data and finally to infrastructure. Bloomberg reached the infrastructure stage decades ago and reported roughly $11 billion in annual revenue from terminals and data services; a single terminal seat was priced near $31,980 in 2026 and there were more than 325,000 subscribers.

Crypto produces structured, real-time, machine-readable information on-chain and through standardized disclosures. That structure can speed conversion from reporting and research into reference datasets used by machines and institutions.

Several recent transactions consolidated sources of structured crypto data. A Paris-based data firm bought an on-chain and derivatives provider in June to expand institutional coverage and add AI-focused tools. In January, an oracle provider bought a security-token market and a dataset covering more than 800 tokenized assets. Each deal reduced the number of independent owners of structured data.

Model outputs depend on the canonical sources they access. A dataset that defines a protocol’s circulating supply or a treasury’s holdings is used in pricing, indexing and compliance, and those figures are incorporated into automated systems without additional commentary.

Established crypto publishers report pressure on distribution and ad revenue but retain archives of reporting, structured metadata and proprietary research. Those archives can be repackaged into datasets, risk metrics, legal-entity mappings and governance records required by large allocators and compliance teams.

Institutions and automated systems are increasing their exposure to digital assets, and intermediaries that provide canonical datasets are being integrated into workflows for trading, indexing and regulatory reporting.