Last Updated on November 12, 2026 by Patrick Camuso, CPA
Quick Answer
Broker and other third-party information can increasingly be compared with a filed return. A discrepancy can prompt review. That is a development in information reporting, not a universal IRS adjudication architecture.
Classification, ownership, basis, and character remain fact-dependent. Matching can identify a difference. It does not determine those facts.
This article sets out Camuso’s model of increasingly data-driven compliance. Information matching can be automated. Ownership, basis, character, classification, and tax liability remain questions of law and fact. The principles below describe that model. They do not describe automated tax adjudication.
Digital Asset Compliance Era
Digital assets are entering a compliance regime defined by the extension of existing information reporting architectures into blockchain-based markets.
Historically, digital asset activity operated outside standardized third-party reporting systems. Taxpayers and intermediaries retained informational advantage over regulators, and compliance outcomes were largely self-determined through narrative disclosure and post hoc interpretation. That structure is no longer viable.
The defining characteristic of the current environment is the inversion of informational asymmetry. Reporting visibility is increasingly held by external systems rather than by market participants. Exchanges, brokers, custodians, and service providers are now required to collect, normalize, and transmit structured transaction data directly to tax authorities. On-chain activity, once perceived as opaque, is now legible at scale through analytic tooling.
This shift constitutes a discrete compliance regime. It does not eliminate innovation, but it imposes institutional expectations of precision, traceability, and reconciliation comparable to those applied to traditional financial instruments. Compliance is no longer assessed solely by intent or disclosure; it is evaluated against independently sourced data streams.
Before Systematic Information Matching
A substantial portion of digital asset activity occurred before comprehensive third-party information reporting. During that earlier period, filings were generally accepted as submitted, but were not validated against integrated third-party datasets or subjected to systematic reconciliation.
As a result, many historical positions lack evidentiary closure under current standards. This does not imply error, misconduct, or noncompliance. It reflects the absence of an infrastructure capable of comparing those positions with third-party information at the time they were reported.
The emergence of modern reporting systems alters the status of that history. Once third-party information can be compared with a return, previously reported positions can be reviewed against that information. Where the taxpayer’s records and the third-party information align, there may be nothing further to reconcile. Where they differ, the difference can prompt review. It does not by itself establish the tax result.
This dynamic creates retroactive reconciliation risk. Historical activity remains relevant not because rules have changed, but because the capacity to test reported outcomes has materially expanded. Compliance is no longer a one-time act; it is an ongoing state that depends on data consistency across evolving systems.
Third-Party Information Matching
Broker and other third-party information is increasingly available for comparison with the return. The comparison can prompt review. It does not establish classification, ownership, basis, or character.
Broker, exchange, custodian, and other third-party information can be compared with the return. Where the information converges, there may be nothing further to reconcile. Where it diverges, the difference can prompt review. The comparison does not generate a tax determination by itself.
Classification, ownership, basis, and character are not produced mechanically from that comparison. They remain fact-dependent. A narrative does not prevent a discrepancy from being identified, but the discrepancy does not decide the tax treatment.
The shift is toward data-driven reconciliation. A difference does not mean an adjustment will be made, and it does not mean the original filing was wrong.
Information Matching Still Requires Interpretation
Information-return matching can identify a difference. It does not adjudicate classification, ownership, basis, or character.
Digital asset transactions frequently involve technical and legal complexity that produces multiple plausible interpretations when the records are compared without the surrounding facts. Forks, migrations, wrapped assets, protocol interactions, internal transfers, and cross-entity movements can generate data artifacts that appear inconsistent across reporting systems.
Resolving these discrepancies requires interpretive reconciliation. This process involves reconstructing transaction context, mapping technical activity to legal classifications, evaluating timing and attribution, and producing documentation capable of supporting a defensible compliance position.
Automation has shifted the point at which professional judgment is applied, but it has not eliminated the need for it. As information matching scales, detecting a difference is not the same as deciding the tax. The limiting factor is still the capacity to interpret the records.
The persistence of this constraint ensures an ongoing role for specialized expertise within an otherwise automated compliance environment.
Published Research
Patrick Camuso co-authored a policy analysis of U.S. digital asset taxation in
Tax Notes
alongside the former head of the IRS Office of Digital Assets and co-author of the Section 6045 digital asset broker regulations.
The analysis examines current legislative and regulatory developments affecting digital asset reporting and taxation.
Press Coverage This topic has received coverage from major financial and tax publications:
Conclusion
Digital asset compliance is increasingly shaped by third-party information and by the need to reconcile that information to the taxpayer’s records.
The current architecture can be summarized as follows:
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Transactional visibility is increasingly held by external reporting systems.
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Historical digital asset activity remains subject to reconciliation as those systems mature.
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A difference between third-party information and the return can prompt review. It is not a mechanical determination of tax.
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Resolution of discrepancies requires expert interpretive reconciliation.
Together, these principles explain why compliance costs are increasing, why historical exposure persists, and why institutional-grade reconciliation has become a prerequisite for participation in digital asset markets.
As digital assets continue to integrate into the global financial system, the capacity to interpret, reconcile, and document complex transaction data will define effective compliance in the period ahead. Work with a digital asset accounting firm and Crypto CPA established in the early development of this market and built for sustained compliance as oversight continues to expand.
This article is provided by Camuso CPA for general informational purposes and does not constitute legal, tax, accounting, or investment advice. Tax laws and regulations are evolving rapidly and the information presented may not reflect current guidance. Reading this article does not create a CPA-client relationship. For advice on your specific situation, schedule a consultation with Camuso CPA.
Camuso CPA, PLLC
