For Ratings Agencies
Control how your ratings are cited, tracked, and used across the ecosystem. Publish canonical, assurance-grade, AI-ready data.For Ratings Agencies
Control how your ratings are cited, tracked, and used across the ecosystem. Publish canonical, assurance-grade, AI-ready data.
Control your ratings in the AI era — with assurance and context integrity
You produce the most referenced data in structured finance — yet once a rating is released, you lose control of how it's cited, copied, and interpreted.
Dealcharts gives ratings agencies an assurance layer: a canonical, machine-readable record of every rating, linked to the deals, tranches, and issuers it affects.
Publish Your Ratings Context →
The ratings fragmentation problem
A single downgrade or affirmation gets fragmented across Trepp, Bloomberg, and EDGAR, often stripped of attribution.
AI models then scrape those inconsistencies — compounding errors and distorting your brand.
Dealcharts solves this by embedding your official ratings and commentary directly into the open context graph, preserving authorship and lineage.
Take Control of Your Ratings Context
1. Establish canonical, machine-readable presence
Create a context-assured profile for your agency and each ratings team. Structured, linked metadata connects every rating to its deal, tranche, and issuer.
Inclusion in the Dealcharts open context graph ensures every "who rated this?" query points back to your authoritative node.
You maintain control of how your ratings are represented across every downstream data and AI system.
2. Track where and how your ratings are cited
See exactly where your ratings appear — in charts, filings, fund holdings, or contributor datasets. Receive alerts when outdated or incorrect versions surface.
Analytics quantify your reach, impact, and reputational risk.
Visibility builds trust and lets you correct data drift before it spreads.
3. Assure lineage from release to every dataset
End-to-end lineage: agency release → EDGAR → Dealcharts → downstream datasets. A tamper-evident audit trail proves provenance and consistency.
Optional canonical rating JSONs allow automated verification.
Defensible traceability supports compliance, model validation, and investor confidence.
Advanced Assurance Capabilities
4. Publish structured commentary as signals
Convert rating rationales into structured "Signals" linked to each action or deal. Each carries your metadata, authorship, and discoverability tags — readable by both humans and AI systems.
Your analytical voice becomes machine-discoverable, not trapped in PDFs.
5. Benchmark coverage and freshness
Compare active coverage, freshness, and latency against peer agencies. See where your ratings are missing or stale.
Historical stats quantify transparency and speed.
Turns performance transparency into a measurable advantage.
6. Future-proof your ratings for AI and regulation
Embed your ratings context into CMD+RVL's Context Engine for training-ready use in AI, compliance with SEC/ESMA structured-disclosure standards, and explainable lineage.
Your data — not an aggregator's copy — becomes the version models and regulators trust.
Summary
| Category | Action | What You Get | Why It Matters |
|---|---|---|---|
| Assured Presence | Publish canonical rating context | Unified, machine-readable entity profile | Control how your data appears everywhere |
| Traceability | End-to-end lineage tracking | Provenance audit trail | Defend accuracy and reputation |
| Visibility | Track citations across systems | Analytics on reach & usage | Quantify influence |
| Signals | Publish structured commentary | Discoverable insights | Make your rationale machine-readable |
| Benchmarking | Measure coverage & latency | Peer comparison dashboard | Demonstrate transparency |
| AI-Readiness | Integrate with Context Engine | Training-ready structured ratings | Be the source models trust |
See it in action
See how assured rating-agency data appears in practice — canonical representation, structured metadata, and AI-ready context.
View CMBS Deal with Ratings Context →
Ready to take control?
Join the ratings agencies modernizing their data practice with assurance-grade context.
Publish Your Ratings Context →