Data Products
Curated market datasets designed for real decisions—clean, documented, and delivered with provenance. Built to support analytics, Signals, and downstream AI workflows without repeated reconciliation.
Inputs you can trust
CMD+RVL data products are built for teams who need clean inputs they can defend. Every dataset is extracted, aligned, and versioned through our context graph—making sources, cadence, revisions, and transformations explicit. These products are designed to plug into research, modeling, and AI systems, with the option to derive additional artifacts as workflows mature.
Asset-level CMBS fields, standardized.
Parsed from ABS-EE XML across 9,500+ filings (since 2016-11-07). Aligned, deduplicated, and updated daily with full lineage—providing a clean baseline for exposure analysis, trend work, and downstream modeling.
Browse on Snowflake →Consistent holdings across issuers.
Schedules normalized from 10-Q filings to enable cross-issuer comparison, exposure tracking, and change detection—without manual reconciliation or schema drift.
Browse on Snowflake →Rates, auctions, and timing—ready to use.
Clean UST and SOFR series, auction calendars, and derived indicators—time-aligned and notebook-ready. Designed to support short-horizon context work, Signals views, and rapid hypothesis validation.
Browse on Snowflake →How the data stays defensible
CMD+RVL data products are governed the same way we govern Signals and engagements—explicit assumptions, visible gaps, and continuous monitoring as sources change. This foundation also enables deterministic downstream artifacts when teams require them.
Always current.
Updates land as filings post, feeds refresh, or events occur. The context graph keeps datasets aligned over time—so downstream analysis reflects what changed most recently, not stale snapshots.Assurance-grade metadata.
Each dataset includes lineage, coverage, freshness, latency, and schema history. Derived fields include methodology notes, enabling consistent interpretation across analysts, models, and automated workflows.Featured datasets
These datasets are curated through the same context engine that powers CMD+RVL Signals and engagements—ensuring consistency across human analysis, model inputs, and AI-driven workflows.