Introducing Arche: Deterministic EDGAR Intelligence for Developers

Financial disclosures are one of the most important data sources in global markets. Every year thousands of companies file regulatory reports containing the financial statements used by analysts, investors, and researchers.

Despite their importance, regulatory filings remain difficult for software systems to use reliably.

Filings are amended. Statements are restated. Historical values can change as corrections are issued. Data derived from filings often lacks the lineage necessary to reproduce historical results, making it difficult to build reliable financial models or research systems.

Arche was created to solve this problem.

Arche is a developer-first API that transforms regulatory filings into deterministic financial datasets designed for software systems.

The problem with financial data from filings

Developers building financial software often face the same set of challenges:

• Regulatory filings are complex and inconsistent
• Historical financial statements can change after restatements
• Many datasets lose the connection between values and their original filings
• Reproducing historical results becomes difficult or impossible

These problems introduce uncertainty into financial systems.

A model trained on financial data may produce different results months later because underlying historical values have changed. Backtests may unknowingly incorporate information that was not available at the time.

For researchers, analysts, and engineers, this makes reproducibility extremely difficult.

Arche approaches financial data differently.

Deterministic financial datasets

Arche converts regulatory filings into structured datasets while preserving the historical context of each filing.

Instead of flattening financial statements into a single dataset, Arche maintains the lineage of financial disclosures over time.

This enables several important capabilities:

• Point-in-time queries that return financial data as it was known at a specific date
• Restatement tracking that preserves the full revision history of financial statements
• Filing lineage connecting structured data back to its source disclosure
• Reproducible datasets suitable for quantitative research and model development

With these guarantees, financial systems can rely on historical data without introducing ambiguity into research workflows or production systems.

Built for developers and research systems

Arche is designed for teams building software that depends on financial disclosures.

Typical use cases include:

• Quantitative research and backtesting
• Financial analytics platforms
• Fintech products and dashboards
• AI systems trained on financial data
• Internal financial data pipelines

Instead of building ingestion and normalization systems for regulatory filings, developers can integrate structured financial intelligence through a modern API.

Part of Protos Systems

Arche is developed by Protos Systems, a company focused on building infrastructure for financial data.

Protos Systems transforms regulatory disclosures into deterministic datasets designed for modern software systems. Arche represents the first product built on this infrastructure layer.

Our goal is to make financial disclosures reliable and reproducible for developers building the next generation of financial applications.

What’s next

Arche is actively evolving as we expand coverage, improve financial normalization, and extend the capabilities of deterministic financial datasets.

Developers can learn more about Arche and request access at https://arche.fi