Explore CMBS and ABS deals, counterparties, and charts — instantly.
Find every filing, see who's involved, copy citations, and download ready-to-use charts — built on open data standards and optimized for AI tools.
Newest Deals
Verified Entities
Trusted entities with verified data lineage and transparent sourcing. Each entity is validated by our community and backed by source documents.
Asset Classes
Explore structured finance data across all major asset classes with computed metrics and cross-deal analysis.
Auto ABS
→CMBS
→Fund Holdings
→BDCs
→Student Loan ABS
For your market research reportComing soon...Credit Card ABS
For your regulatory filingComing soon...Developer Access
Build on our data with APIs, datasets, and integration tools. Access structured financial data programmatically.
Newest Charts
Featured Blog Posts

Introducing the AI Tech CMBS Exposure Tool
Discover our new AI-powered tool for analyzing technology sector exposure in CMBS deals with instant insights and risk assessment.

How to Ask Chatbots the Right Questions About Deals
Master the art of asking chatbots precise questions about CMBS and ABS deals. Unlock actionable insights with metadata-driven strategies.
Dealcharts follows open data-exchange standards (ODPS) and publishes attribution-ready datasets. Verified entities feed the same context used to ground tomorrow's AI models.
Dealcharts organizes data so both humans and AI systems can trust what they see.
Dealcharts.org FAQ
What is Dealcharts?
Dealcharts is the open context graph for structured finance. We connect filings, deals, shelves, tranches, and counterparties so you can explore relationships like a wiki—backed by charts you can cite and share.
What can I do with the charts on this site?
Use charts to answer questions quickly, validate your own analysis, and enrich presentations, emails, blogs, or newsletters. Each chart links back to the underlying context so you can trace who’s involved and why it matters.
Can I search for different charts?
We’re expanding coverage continuously. A dedicated search experience is on our roadmap; in the meantime, use entity, deal, and shelf pages to navigate related charts. Tell us what you need and we’ll prioritize it.
Why does Dealcharts exist?
To make structured-finance context open and trustworthy. Instead of hunting PDFs and spreadsheets, you get a connected view of entities, deals, and filings—with verification paths for market participants and analysts.
What is a Verified Entity Profile?
Issuers, servicers, trustees, and funds can claim and verify their profile. Verification confirms identifiers, official links, and a short statement—improving accuracy on entity and deal pages and signaling a trusted source of truth.
What is a Verified Research Contributor?
Independent analysts, bloggers, and researchers can apply to link their work directly from relevant entity and deal pages. Verified Contributor posts are attributed with provenance and help enrich the public context graph.
What is Context Creation?
It's how everyday work becomes training-ready data. Verified statements, explanations, and citations are captured with provenance so they can ground retrieval, support evaluation, and—when opted-in—train future models.
How can I report incorrect data?
Look for “Spot an error?” on charts and profiles to report fixes or confirmations. You can also contact us directly; verified entities and contributors have priority review.
Why does structured finance need better training data for AI?
Current AI models struggle with specialized finance because training data is sparse, inconsistent, and lacks provenance. Better data means copilots that understand shelf structures, can verify counterparty relationships, and cite sources—reducing hallucinations in high-stakes analysis.
How does creating verified data now help the market long-term?
As AI becomes infrastructure for analysis, search, and decision-support, the market needs a foundation of truth. By creating provenance-rich data today, we ensure tomorrow's copilots can verify claims, trace lineage, and flag uncertainty—making markets more efficient and trustworthy.
What's the business case for entities to contribute training data?
Entities that verify their profiles and relationships ensure AI systems represent them accurately. When copilots cite your data, it increases visibility and positions you as a trusted source. Misrepresentation is costly—verification is preventative.
I'm new to structured finance—where should I start?
Start with our About page and explore a few CMBS or Auto ABS deals. Each deal page explains the structure, shows charts, and links to key entities. The FAQ and glossary (coming soon) help decode terminology.
How do I find a specific deal or entity?
Use the search bar at the top of any page. Search by deal name, shelf, CIK, or entity name. Results show deals, entities, and related charts. Browse by sector (CMBS, Auto ABS, BDCs) for broader exploration.
What datasets are available for download?
We publish curated deal-level datasets (CSV, JSON) and LLM-optimized facts endpoints. Bulk exports cover CMBS pools, Auto ABS metrics, and BDC holdings. Visit /datasets/ for the catalog.
Why is there a fee for verification?
Dealcharts stays free to explore. The verification fee funds identity checks, moderation, and upkeep of the public context graph—so accuracy and independence improve for everyone.
Will contributors get paid for verified context?
Not yet — Phase 1 is about visibility and reputation. As the Create-Data marketplace grows, verified contributors whose context appears in training datasets will share in the revenue. Our commitment: provenance first, monetization second.