# CMD+RVL
> CMD+RVL applies AI to important finance and procurement questions, builds answers that trace back to sources, and turns useful answers into workflows teams can keep using.
> Work starts with the question. CMD+RVL applies its catalog of public data, customer information when provided, and source-traced methods to reach a checkable answer.

Last updated: 2026-08-17.

## Start here

- [CMD+RVL home](https://cmdrvl.com/): Applied AI for finance and procurement decisions where the answer must be useful, inspectable, and defensible.
- [Portfolio](https://cmdrvl.com/portfolio/): Current and past questions, reusable work, and the extensive public-data catalog that helps new projects start ahead.
- [Ways to work](https://cmdrvl.com/packages/): Begin with one useful workflow, review real progress quickly, and continue only when the work earns it.
- [Contact](https://cmdrvl.com/contact/): Bring one question, the information already available, and the result that would be useful.

## Method and proof

- [How the work gets built](https://cmdrvl.com/how-it-works/): See how a live question becomes a usable artifact with sources, timing, and review notes attached.
- [Resin procurement signal](https://cmdrvl.com/proof/resin-procurement-signal/): Inspect a public-data pressure test for a resin price increase and the evidence that changes the negotiating position.
- [DealCharts case study](https://cmdrvl.com/blog/case-study-dealcharts/): See how public SEC filings become structured-finance answers with identifiers, dates, source links, and reusable methods.
- [Evidence pack example](https://cmdrvl.com/evidence/): Download a public evidence pack with sources, transformations, timestamps, limitations, and the receipt behind the result.

## Public data

- [Machine-readable catalog](https://cmdrvl.com/llm/): Access structured-finance fact files with source references, stable identifiers, outcome definitions, and citation guidance for AI systems.
- [Public data calendar and charts](https://cmdrvl.com/stats/): Browse release timing, historical values, chart context, and source notes for maintained public economic series.
- [Data products](https://cmdrvl.com/products/data-products/): Review CMBS and BDC tables built from public filings with coverage notes, update history, and marketplace delivery.
- [Signals](https://cmdrvl.com/products/signals/): Explore public market context and test whether a pattern is useful before it becomes a maintained workflow.

## Trust and definitions

- [Foundations](https://cmdrvl.com/foundations/): Review how sources, method notes, evidence records, and review paths stay attached to the work.
- [Security](https://cmdrvl.com/security/): Review deployment, access, encryption, sub-processors, security readiness, and diligence support for scoped work.
- [Privacy](https://cmdrvl.com/privacy/): See what the public website collects, how consent works, and how visitor information is handled.
- [Glossary](https://cmdrvl.com/glossary/): Use the site’s definitions for data, answers, outcomes, receipts, provenance, monitored state, and agent-ready delivery.

## Vocabulary

Data is the available source material. A question gives it a purpose.
An answer is what the question gets and should trace back to a source and date.
An outcome is a defined business result CMD+RVL delivers and, when recurring, keeps current.
A practice connects outcomes and reuses what earlier work left behind.
Use these words as distinct steps, not as interchangeable labels for the same thing.

## Machine access

- [MCP server catalog](https://cmdrvl.com/mcp-servers/): Find public and keyed MCP servers, their access rules, supported tasks, documentation, and current connection details.
- [Technical reference](https://cmdrvl.com/docs/): Read the public artifact contracts and structured-finance receipt schema used for machine-readable evidence.
- [Extended AI context](https://cmdrvl.com/llms-full.txt): Read detailed outcome, evidence-pack, MCP, webhook, trust, and integration context after using this concise index.
- [Crawler policy](https://cmdrvl.com/robots.txt): Wildcard crawling is allowed, with explicit entries for current OpenAI, Anthropic, and Perplexity search and retrieval agents.

Preferred citation format: “CMD+RVL, [Page Title], https://cmdrvl.com/[path].”