An equity token protocol for data migration: a first service and a second service each generate tokens carrying their current state details for the data to be migrated. The system compares the two tokens, verifies that both services agree on the data's current state, and authorizes the migration only when the match is confirmed — preventing data loss, duplication, or corruption from mismatched state assumptions.
Data migration between services — moving account records, transaction history, customer profiles, or financial data from one system to another — requires both the source and destination to have a consistent view of the data at the moment of migration. In practice, distributed systems frequently diverge: the source may have processed updates that the destination doesn't know about, the destination may have partial state from a previous failed migration attempt, or concurrent updates on both sides may have created conflicting versions. When migration proceeds without verifying state agreement, the result is data loss, duplication, or corruption.
Before any data moves, both the source service and the destination service generate equity tokens — structured representations of their current view of the data to be migrated. Each token embeds the service's current state details: record identifiers, version numbers, checksums, and timestamps. A reconciliation engine receives both tokens and verifies that the state details they embed are in agreement — that both services have the same view of what is being migrated. Migration is authorized only when the equity token comparison confirms a match. If the tokens don't match, the discrepancy is surfaced for resolution before any data moves.
The token exchange is the key innovation: instead of comparing raw data (expensive, requires full data transfer before verification) or trusting metadata alone (version numbers can be out of sync), both services produce structured equity tokens that embed a complete state fingerprint. Comparing these tokens is fast and precise — discrepancies are identified at the state-description level, enabling targeted resolution rather than full data re-comparison.
An equity token for a migration operation contains: a scope identifier (which records or datasets are covered), a state checksum computed over the current values of all in-scope records, a version vector recording the sequence of updates applied, a timestamp of the state snapshot, and the generating service's identity. The token is signed by the generating service — the reconciliation engine can verify its authenticity and that it hasn't been tampered with in transit.
The equity token is not a copy of the data — it's a compact representation of what the data looks like at a specific moment. Two services with identical data will generate identical tokens (barring signature differences). Two services with divergent data will generate tokens whose state checksums or version vectors differ. The divergence information in the token comparison tells the reconciliation engine specifically what disagrees, enabling targeted reconciliation rather than full dataset comparison.
The reconciliation engine receives equity tokens from both services and performs a structured comparison. It first verifies the signatures on both tokens, then compares the scope (ensuring both tokens cover the same data set), checksum (detecting any data value difference), and version vector (identifying which updates are missing from one service or the other). A full match authorizes migration immediately. A partial match — where scope and version agree but checksum differs — indicates a data corruption event requiring investigation before migration.
When tokens don't match, the engine produces a divergence report that specifies exactly where the disagreement lies: which record ranges have mismatched checksums, which version vector entries diverge, and what the delta is between the two services' views. This report enables targeted reconciliation — only the divergent records need to be re-examined, not the entire dataset. After reconciliation, both services generate new equity tokens reflecting the resolved state, and the comparison repeats before migration is authorized.
When the reconciliation engine confirms a token match, it issues a signed migration authorization token to both services. This token certifies that both services agreed on data state at a specific moment and that migration is authorized to proceed. The authorization token has a validity window — migration must begin within a defined time period from authorization. If migration hasn't started when the window expires, both services must generate new equity tokens before a new authorization can be issued.
The time-bounded authorization addresses a critical race condition: state may change after the equity tokens were generated, invalidating the agreement they represent. The validity window is chosen to be short enough that state change during the window is unlikely for the data being migrated, but long enough for migration to complete. For large datasets, the migration authorization may cover batches — each batch requires a fresh equity token exchange covering the batch scope before the batch is authorized to move.
Migration token certifies that both services agreed on state at the moment of comparison. Signed by the reconciliation engine — both services can verify its authenticity.
Authorization valid only within a configured window. Prevents state-change-after-agreement race condition. Window size configurable by data type and migration volume.
Authorization token consumed on first use. Cannot be replayed for a second migration — even if state hasn't changed, a fresh token exchange is required for each migration operation.
Large datasets migrated in batches. Each batch requires its own equity token exchange and authorization. Enables verification at batch granularity without full-dataset re-comparison.
The equity token reconciliation protocol applies wherever two services must agree on data state before migration can safely proceed — particularly in financial and regulated contexts where data integrity is a compliance requirement, not merely a quality consideration.
The independent claims cover the data migration authorization system — the equity token structure and generation protocol, the reconciliation engine's comparison logic, the migration authorization token issued on confirmed match, and the divergence report generated on mismatch. Dependent claims cover the equity token's specific fields (scope, checksum, version vector, timestamp), the time-bounded authorization window, the non-reusability mechanism, and the batch migration variant.
The claims are data-type agnostic — the equity token protocol applies to any structured data being migrated between services, not specifically to financial records. The core claim is the pre-migration token exchange and state-agreement verification mechanism itself, which is novel relative to existing migration protocols that move data before checking consistency. The connection to prior work in the portfolio — specifically the token-based authorization frameworks in the security and blockchain patents — creates a coherent IP family around token-mediated trust between services.
US20260093790A1 is the most recent filing in a portfolio spanning eight years of invention across financial technology, machine learning, security, edge computing, and distributed systems. The equity token reconciliation protocol is a natural extension of the portfolio's thread of token-based trust mechanisms — connecting the blockchain token lifecycle work in US20240242276A1, the delegated token transfer system in US12452066B2, and the transaction authorization frameworks in the security patents into a unified approach to using tokens as trust anchors between services.
The data reconciliation problem is one that grows in importance as financial systems become more distributed — more microservices, more cloud platforms, more institution-to-institution data portability. The equity token protocol provides a lightweight, verifiable, and auditable answer to the question that every distributed migration faces: how do both sides know they agree on what's being moved before it moves?
US20260093790A1 is a pending application published in 2026. The application is currently under examination at the USPTO. Forward citations will be recorded after grant.