I posted System R (https://agents.systemr.ai) — a risk intelligence API for trading agents. Since then we shipped 35 new tools:

  - Full derivatives suite: Greeks analysis, IV surface, futures curves, options flow scoring
  - Trade journal: agents record outcomes, the system auto-feeds R-multiples back into risk gates
  - Trust scoring: agents earn reputation based on trade history and behavior
  - Graduation pipeline: agents start in sandbox, graduate to live when trust score hits threshold
  - Compliance audit trail: full transaction history with anomaly detection

  The feedback loop is the part I'm most excited about. An agent records its trades → the journal stores R-multiples → pre_trade_gate reads them
  automatically → the system detects when the strategy's edge is degrading. The OS is no longer stateless.

  48 tools total. Python SDK: pip install systemr

  GitHub: https://github.com/System-R-AI/systemr-python

  Demo agent: https://github.com/System-R-AI/demo-trading-agent

Very cool..did you build this as one monolithic API with 48 endpoints, or separate services?