Developer Hub & API Reference

Axiom Quant Core: Quickstart (Python SDK)

The Axiom Python SDK allows quants to offload heavy stochastic workloads to our GPU-accelerated cloud.

1. Environment Setup

pip install axiom-quant-core

2. Authentication

Initialize the session using your institutional ELA (Enterprise License Agreement) credentials.

from axiom import Session

# Connect to the Singapore Edge Node
session = Session.connect(
    api_key="ax_live_88392_x9s",
    region="ap-southeast-1"
)

3. Run Solvency II SCR Projection

portfolio = session.load_portfolio("life_annuities_v4.json")
result = session.compute_scr(
    model="constrained_gan_v2",
    simulations=1_000_000,
    stress_test="2008_financial_crisis"
)

print(f"Projected Capital Buffer: {result.buffer_ratio}%")

API Reference (REST)

POST /v1/actuarial/simulate

Submits a portfolio for high-speed neural simulation.

Request:
{
  "portfolio_id": "port_9982",
  "engine": "axiom-accelerated-v2",
  "parameters": {
    "volatility_surface": "implied_market_avg",
    "correlation_matrix": "dynamic_2024"
  }
}

GET /v1/ledger/proof/{tx_id}

Returns a Merkle Proof of the model state at the time of calculation for regulatory verification.

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Developer Access Restricted

Full API documentation, SDK methods, and integration guides are available only to licensed institutional partners.

Contact Sales for Access