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Data Products

Curated market datasets with full data lineage — clean, documented, and delivered with provenance. Use them as trusted inputs for analytics, models, and downstream AI workflows without repeated reconciliation.

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Provenance Receipt
AI Output
$2.47B adjusted NAV
2025-06-14 09:41 UTC
Transform
Weighted average
847 positions
Transform
Normalized to USD
ECB daily fix rate
Source
SEC EDGAR 10-K
CIK 0001234567
Source
FRED SOFR rates
SOFR.2025-06-13
Provenance verified5 nodes · 2 sources · full chain

Inputs that power provenance-backed outcomes

CMD+RVL data products sit beneath monitored outcomes as the input layer. Every dataset is extracted, aligned, and versioned with full lineage — making sources, cadence, revisions, and transformations explicit. Use them directly in research and modeling, or pair them with Outcomes when you need provenance records and audit-ready decisions.

How the data stays defensible

CMD+RVL data products are governed the same way we govern monitored outcomes and Signals — explicit assumptions, visible gaps, and continuous monitoring as sources change. This input layer enables deterministic downstream artifacts and provenance records when teams need to defend decisions.

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.
01"Use standardized CMBS asset-level fields to detect shifts in collateral performance."
02"Track changes in BDC portfolios without manual issuer-by-issuer cleanup."
03"Combine clean rates and auction calendars with internal models, Signals views, or AI-driven analysis to validate timing."
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Clean inputs are table stakes. Provenance, context, and semantic consistency are what make them usable at scale.

Featured datasets

These datasets are curated through the same lineage engine that powers monitored outcomes and Signals — ensuring consistency across human analysis, model inputs, and AI-driven workflows.

01

CMBS Schedule AL (ABS-EE XML)

Asset-level fields for 230+ CMBS deals parsed across 9,500+ filings. Full lineage. Updated daily. Free to try.
02

BDC Schedule of Investments (10-Q)

Consolidated schedules normalized from EDGAR filings for exposure analysis and cross-issuer comparisons. Free to try.
03

CMBS Signal Starter: UST / SOFR + Auctions

Rates, auction calendars, and derived indicators—clean, time-aligned, and notebook-ready. Free to try.
04

CMBS Special Servicing Commentary (10-D)

Monthly special servicing commentary parsed and aligned for 100+ deals. Updated daily as filings post. Free to try.
05

CREFC IRP: CMBS Conduit (standardized)

Loan-level and property metrics curated to CREFC IRP standards—consistent across issuers and deals. Free to try.
06

Fund Holdings with CMBS Exposure (N-PORT-P)

Cross-section of funds’ CMBS positions extracted from N-PORT-P filings for exposure and overlap analysis. Free to try.
Built for:
Finance
Banking
Real Estate
Risk Management
Use data products as the input layer — or combine them with Outcomes when you need provenance records, data lineage, and reusable decisions instead of raw tables.
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