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Extracted with AI from over 70,000 Audited Local Government Annual Financial Statements

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Vast Database of Municipal Financial Data

Comprehensive Coverage

MuniSpot provides a comprehensive database covering the financial operations of over 8,000 municipalities, built from more than 32,000 reported financial statements. Using advanced AI-driven optical character recognition (OCR) models, we extract financial data directly from government reports, ensuring accuracy and efficiency. Our data is sourced from the General Fund and Total Governmental Funds, as reported in the Income Statement and Balance Sheet sections of each municipality’s annual financial report.

 

Diverse Government Records

MuniSpot features financial data from a broad spectrum of government entities, including cities, villages, towns, counties, school districts, and state governments.

Export with Ease

Export raw financial data directly from the dashboard into CSV, Excel, or PDF format.

Vast Database

MuniSpot offers a comprehensive database of financial data from over 8,000 municipalities, compiled from 32,000+ financial statements. Sourced from General Fund and Total Governmental Funds, our data comes directly from municipalities' Income Statements and Balance Sheets, leveraging AI-powered OCR technology to extract key financial details with precision.

Historical Records

Our database features municipal financial data dating back to 2014, offering a decade of historical insights. It is continuously updated as municipalities release their annual financial reports, supporting fresh trend analysis, benchmarking, and informed decision-making.

Focus on What Matters

By eliminating the manual labor of extracting data from municipal reports, our AI-powered solution frees users to focus on what matters—interpreting trends, assessing risks, and making informed, data-driven decisions without the tedious groundwork.

Proprietary Taxonomy

Our platform standardizes financial data from thousands of municipal reports using a proprietary taxonomy, ensuring consistency and comparability. Leveraging advanced data science classification techniques, including natural language processing (NLP) and machine learning-based entity recognition, we accurately categorize financial data from diverse reporting formats. This classification system simplifies varied formats, providing analysts with clean, structured data for efficient benchmarking and trend analysis.

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