System R AI Docs
API Toolkit and developer finance tools for agents, Python workflows, notebooks, and backend services.
System R AI is a decision intelligence system for trading and investing. These docs focus on the API Toolkit: finance tools that developers can connect to agents, MCP-compatible clients, Python workflows, notebooks, REST integrations, and backend services.
The Agentic Trading Workspace is the product surface for active traders. The API Toolkit is the developer surface for bringing System R's decision-support logic into programmable workflows.
What developers can build
Connect structured finance operations into the environment where the work happens: an agent, script, notebook, backend service, REST integration, or MCP-compatible client.
| Area | What it helps with |
|---|---|
| Risk and sizing | Position sizing, pre-trade checks, exposure review, and risk inputs from supplied trade data. |
| Performance diagnostics | R-multiples, drawdown, win/loss profile, distribution, recovery, and decision review metrics. |
| Journal and memory | Structured trade records, outcome logs, saved context, and searchable memory workflows. |
| Market structure analysis | Trend, regime, levels, volatility, liquidity, indicators, and scanner-style reads where inputs are supplied or supported. |
| Scenario planning | What-if checks, invalidation framing, sizing boundaries, and plan structure. |
| Asset or research context | Quotes, OHLCV, news, fundamentals, scanners, or research enrichment where supported by the current provider path. |
How to start
- Review the Quickstart.
- Choose an interface: MCP, Python SDK, REST, or OpenAPI.
- Inspect current tool names and input schemas through the live tool catalog.
- Send structured inputs from your workflow.
- Use the structured output inside an agent, notebook, script, or backend service.
Current source of truth
The public docs describe the developer surface at a high level. Current tool names, schemas, pricing, and metering should be verified through live discovery and billing endpoints before being hard-coded into production workflows.
Trust boundary
System R AI is software for decision support. It is not a financial advisor, broker, or signal service, and it does not guarantee profits. AI outputs can be wrong. Users remain responsible for their own trading and investing decisions.
Public links
- Website: systemr.ai
- App: app.systemr.ai
- Agents API: agents.systemr.ai
- Machine docs: agents.systemr.ai/llms.txt
- OpenAPI: agents.systemr.ai/v1/openapi.json
| Python SDK | pip install systemr |
| MCP Server | agents.systemr.ai/mcp/sse |
| OpenAPI Spec | agents.systemr.ai/v1/openapi.json |
| Machine Docs | agents.systemr.ai/llms.txt |
| GitHub | System-R-AI |
| X | @Systemrai |
| YouTube | @systemr_ai |
| hello@systemr.ai | |
| Phone | 628 333 6693 |
| Address | 7901 4TH ST N, STE 28529, ST PETERSBURG, FL 33702 |
| Terms | Terms of Service |
| Privacy | Privacy Policy |
| Security | Security Policy |