US 2026/0301072 A1Published application

System and method for optimizing real-time economic intelligence and tokenomics quotient (tq) impact to measure trends, track historical data, and drive predictive analytical impact in state-funded token ecosystems

OwnerMichael A. Fesi, IIinventor

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Abstract

A system for real-time economic intelligence within a state-funded token ecosystem includes a central processing unit that coordinates acquisition, processing, analytics, and visualization while using historical datasets for longitudinal forecasting. A data acquisition module collects, parses, and standardizes token transactions and economic indicators from blockchain networks, economic databases, regulatory platforms, and third-party providers. A data storage module maintains real-time logs, historical datasets, and predictive modeling artifacts. An integrated analytics module computes token metrics including velocity, liquidity, and retention. An artificial intelligence predictive modeling module forecasts fiscal ripple effects. A geo-fenced mapping module tracks token flows and lifecycle events and renders heat maps and token journey paths. A tokenomics quotient calculation module generates a Tokenomics Quotient (TQ). A network communication module secures exchanges. An external interfaces module exposes application programming interfaces. A dashboard visualization module presents real-time intelligence and risk assessments.

Claims20

Dependent claims

A system for real-time economic intelligence and transaction analysis within a state-funded token ecosystem, the system comprising:

a central processing unit configured to coordinate data acquisition, processing, analytics, and visualization in real time while processing historical datasets to enable longitudinal forecasting;
a data acquisition module configured to collect, parse, and standardize token transaction data and economic indicators from blockchain networks, economic databases, regulatory platforms, and third-party providers;
a data storage module configured to maintain real-time logs, historical economic datasets, and predictive modeling artifacts;
an integrated analytics module configured to process structured transaction data, identify economic trends, and compute token metrics including velocity, liquidity, retention, and an economic velocity rate (EVR) computed from standardized transaction event logs and parameterized by at least a program identifier, a jurisdiction or zone, and a selectable time window;
an artificial intelligence predictive modeling module configured to forecast ripple effects of token transactions on fiscal outcomes using models trained on the structured transaction data and the historical economic datasets;
a geo-fenced mapping module configured to track token flows and lifecycle events within predefined geographic boundaries and to generate heat maps and token journey paths;
a tokenomics quotient calculation module configured to compute a Tokenomics Quotient (TQ) based on token velocity, liquidity, retention, transaction diversity, and regional adoption;
a network communication module configured to manage encrypted data exchange among internal components and external platforms;
an external interfaces module configured to provide application programming interfaces for secure integration with economic systems, regulatory bodies, and financial monitoring tools;
and
a dashboard visualization module configured to present real-time economic intelligence including predictive analytics, token lifecycle tracking, and risk assessments through an interactive user interface.

8 more elements

A computer-implemented method for generating real-time economic intelligence within a state-funded token ecosystem, the method comprising:

acquiring, by the data acquisition module, token transaction records and external economic indicators from blockchain networks, economic databases, regulatory platforms, and third-party providers;
normalizing, by a data ingestion process executed by the central processing unit, the token transaction records to produce cleaned data;
integrating, by the integrated analytics module, the cleaned data with the historical economic datasets stored in the data storage module to produce a structured dataset;
generating, by the artificial intelligence predictive modeling module, predictive models that forecast ripple effects of token activity on liquidity and revenue;
computing, by the tokenomics quotient calculation module, the Tokenomics Quotient (TQ) based on token velocity, liquidity, retention, transaction diversity, and regional adoption;
mapping, by the geo-fenced mapping module, token flows and lifecycle events within the predefined geographic boundaries to generate heat maps and token journey paths;
and
presenting, by the dashboard visualization module, real-time insights comprising the Tokenomics Quotient (TQ), predictive forecasts, and geo-fenced visualizations via the interactive user interface.

5 more elements

Dependencies are inferred from the claim text.

Facts

Application: 19/552,455Filed 27 Feb 2026
Priority: 26 Mar 2025
Published: 1 Oct 2026
Term ends: Not estimatedThe source records don’t support an estimate.

Classification4 codes

G06Q 40/053
Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange: trading fiat currency
G06Q 40/0421
Using financial market analysis, e.g. trading predictions, or forecasting: using artificial intelligence, machine learning or neural networks
G06Q 40/0431
Tools or interfaces specially adapted for trading or brokering: displaying financial market data
G06Q
Information and communication technology [ict] specially adapted for administrative, commercial, financial, managerial