System R Risk Intelligence
OfficialProvides trading integration with Binance exchange, enabling AI agents to execute trades, manage positions, and access market data through the SystemR platform's institutional-grade risk management tools.
Provides trading integration with Coinbase exchange, enabling AI agents to execute trades, manage positions, and access market data through the SystemR platform's institutional-grade risk management tools.
Provides payment integration, allowing users to pay for LLM usage credits using SOL cryptocurrency alongside other payment methods including Stripe and stablecoins.
Provides payment processing integration, allowing users to pay for LLM usage credits via Stripe payment gateway alongside other cryptocurrency payment options.
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.
Install
pip install systemrRequires Python 3.9 or higher.
Related MCP server: CryptoGuard
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/
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/
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