System R AI Docs

Finance tool areas for agents, Python workflows, notebooks, REST integrations, and backend services.

System R AI exposes finance tools through REST, MCP, and Python workflows. Current API Toolkit capabilities are described in the docs and machine readable agent metadata.

Interfaces

REST: POST /v1/tools/call with a tool_name and structured arguments.
SDK: Python workflows can use named methods for common operations or generic tool calls.
MCP: Compatible AI clients can discover and call tools through the MCP server.

Tool areas

Area	What it supports
Risk and sizing	Position sizing, trade risk checks, pre-trade gates, options or futures sizing where inputs are provided.
Performance diagnostics	R-multiples, drawdown, win/loss profile, recovery, distribution, expected value, and related review metrics.
Market structure analysis	Regime, patterns, trend, indicators, price structure, correlations, liquidity, volatility, and scanner logic from supplied or supported data.
Scenario planning	What-if checks, invalidation framing, sizing boundaries, and plan structure.
Journal and memory	Structured trade records, outcome logs, journal metrics, stored context, and memory search.
Data and research paths	Quotes, OHLCV, news, fundamentals, scans, or research enrichment where supported by the current provider path or supplied by the caller.
Billing and usage	Pricing, balance, transactions, usage, metering, and key-level limits where enabled.

Current capabilities

Developers should use the documented MCP, SDK, REST, and OpenAPI surfaces that are live and valid. Do not rely on undocumented discovery URLs in production.

Call a tool

curl -X POST https://agents.systemr.ai/v1/tools/call \
  -H "X-API-Key: sr_agent_..." \
  -H "Content-Type: application/json" \
  -d '{
    "tool_name": "calculate_position_size",
    "arguments": {
      "equity": "100000",
      "entry_price": "185.50",
      "stop_price": "180.00",
      "direction": "long"
    }
  }'

System R AI is software for decision support. It is not a financial advisor, broker, or signal service, and it does not guarantee profits. Users remain responsible for trading and investing decisions.

System R AI

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
Email	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

Finance Tools

Interfaces

Tool areas

Current capabilities

Call a tool

Trust boundary

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