Data Products
Curated datasets published through Snowflake and Databricks marketplaces—clean, documented, and backed by CMD+RVL’s context graph so you can start producing outcomes the moment you connect.
Datasets with provenance
Every dataset is extracted, aligned, and versioned through the CMD+RVL context graph—so sources, cadence, and transformations are fully transparent. This is the lowest-friction way to evaluate our assurance model, validate workflows, and start building short-horizon outcomes immediately inside your existing stack.
Asset-level fields for 230+ CMBS deals.
Parsed from ABS-EE XML across 9,500+ filings (since 2016-11-07). Aligned, deduplicated, and updated daily with complete lineage. Free to try.
Browse on SnowflakeConsolidated schedules for SEC-registered BDCs.
Consistent cross-issuer holdings from 10-Q filings, normalized through the context graph for exposure analysis and trend detection. Free to try.
Browse on SnowflakeUST / SOFR + Auctions.
Clean rates, auction calendars, and derived TSPI_30D index—time-aligned and notebook-ready. Built for quick hypothesis testing and short-horizon correlation work. Free to try.
Browse on SnowflakeQuality notes (how we keep it clean)
Each listing includes coverage, cadence, known gaps, schema history, and backfill policy. Derived fields come with methodology notes. Verification summaries document how sources were checked and how updates are monitored.
Always current.
Updates land within hours of filings, feeds, or events. The context graph ensures consistent alignment—so your models and dashboards stay tethered to what’s changing now.Assurance-grade context.
Each dataset carries lineage, coverage, freshness, and latency. This isn’t decorative metadata—it’s ratings-grade assurance so analysts, PMs, and risk teams can defend the numbers they use.Featured datasets
CMD+RVL datasets are curated through the same context engine that powers Signals and enterprise deployments—ensuring consistency across public, private, and model-in-context workflows.