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System R Risk Intelligence

system-r-ai/systemr-python
authSTDIO, HTTP, SSEregistry active
Summary

This server wraps System R's risk management API into MCP tools for AI trading agents. You get 68 operations spanning pre-trade validation, position sizing via G-formula, Monte Carlo simulation, drawdown analysis, regime detection, and performance scoring. The pre_trade_gate tool is the headline: pass it a symbol, direction, entry, stop, and equity, and it returns whether the trade passes Iron Fist validation plus exact share count and dollar risk. All the core risk tools are free. LLM-powered chat costs credits. It connects to 25 brokers including IBKR, Schwab, Binance, and Alpaca. Reach for this when you're building an agent that needs institutional risk checks before executing trades, not just market data and order routing.

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Context.devContext.dev
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Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Make money from your Skills
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On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
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systemr

Python SDK for the System R AI API Toolkit.

System R AI is a decision intelligence system for trading and investing. The API Toolkit gives developers access to finance tools for agents, Python workflows, notebooks, and backend services.

The SDK is designed for structured decision-support workflows: position sizing, risk checks, performance diagnostics, market structure analysis, journal records, memory search, and tool discovery.

System R is software for decision support. It is not financial advice, not a broker, not a signal service, and not a guarantee of profits.

PyPI Python 3.9+ License: MIT

Install

pip install systemr

Requires Python 3.9 or higher.

Quick example

from systemr import SystemRClient

client = SystemRClient(api_key="sr_agent_...")

gate = client.pre_trade_gate(
    symbol="AAPL",
    direction="long",
    entry_price="185.50",
    stop_price="180.00",
    equity="100000",
)

print(gate)

pre_trade_gate combines position sizing, risk validation, and supplied system-health context into a single decision-support response.

Chat workflows

from systemr import SystemRClient

client = SystemRClient(api_key="sr_agent_...")

resp = client.chat(
    "Review these R-multiples and tell me what changed in the system: 1.5, -1.0, 2.0, -0.5, 1.8"
)

print(resp["text"])

LLM-backed workflows may use credits depending on the live billing rules. Check the live pricing and billing surfaces before building production workflows.

Tool access

Every current tool should be discovered from the live catalog before use:

tools = client.list_tools()

Generic tool calls:

result = client.call_tool(
    "calculate_position_size",
    equity="100000",
    entry_price="185.50",
    stop_price="180.00",
    direction="long",
)

Common tool areas include:

  • Risk and sizing
  • Performance diagnostics
  • Market structure analytics
  • Scenario planning
  • Journal and memory workflows
  • Asset or research context where supported or supplied
  • Billing and usage visibility where enabled

MCP and REST

The same API Toolkit can be used through MCP-compatible clients and REST integrations.

  • Docs: https://docs.systemr.ai/
  • Agents: https://agents.systemr.ai/
  • OpenAPI: https://agents.systemr.ai/v1/openapi.json
  • MCP overview: https://docs.systemr.ai/mcp/overview

Pricing

System R AI uses usage-based credits for paid workflows. Current rates and billing rules should be checked through the live pricing endpoint and the System R billing page.

Do not assume every tool, data path, or LLM-backed workflow has the same pricing behavior. Use live discovery and billing responses as the source of truth.

Trust boundary

System R is software for decision support. Users remain responsible for their own trading and investing decisions. AI outputs can be wrong.

System R is not:

  • Financial advice
  • A broker
  • A signal service
  • A guarantee of profit
  • A substitute for trader judgment

Links

  • Website: https://systemr.ai/
  • Workspace: https://systemr.ai/product/agentic-trading-workspace/
  • API Toolkit: https://systemr.ai/product/developer-tools/
  • Docs: https://docs.systemr.ai/
  • Agents: https://agents.systemr.ai/
  • FAQ: https://systemr.ai/resources/faq/
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AI writes the code. CodeRabbit catches the slop.
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Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →
Context.devContext.dev
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Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
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Categories
Finance & Commerce
Registryactive
Packagesystemr
TransportSTDIO, HTTP, SSE
AuthRequired
UpdatedMar 8, 2026
View on GitHub

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