Skip to main content

Python SDK for the HPSILab quantitative finance API — options analytics, IV surface modeling, Monte Carlo simulation, and AI-driven predictions, with native MCP support.

Project description

HPSILab Python REST SDK

hpsilab-mcp is the official Python SDK for the hosted hpsilab.com REST API — quantitative finance and options analytics (IV surface, Monte Carlo simulation, AI predictions, pre-trade risk scans, and more).

Note: This package wraps REST endpoints only. It does not implement MCP transport — see MCP Transport below if you need that.

Requirements

  • Python >= 3.9

Installation

pip install hpsilab-mcp

Quick Start

from hpsilab_mcp import HpsiMcpClient

client = HpsiMcpClient()

calls = {
    "analyze_stock": client.analyze_stock("NVDA"),
    "get_ai_prediction": client.get_ai_prediction("NVDA"),
    "get_iv_radar": client.get_iv_radar("NVDA"),
    "get_option_pressure": client.get_option_pressure("NVDA"),
    "get_pretrade_risk_scan": client.get_pretrade_risk_scan("NVDA"),
    "get_monte_carlo": client.get_monte_carlo("NVDA"),
    "get_equity_curves": client.get_equity_curves("NVDA"),
    "generate_stock_images": client.generate_stock_images("NVDA"),
    "generate_stock_research_report": client.generate_stock_research_report("NVDA"),
}

print(calls["analyze_stock"])

Authentication

All listed REST SDK methods are callable without an API key. The SDK does not block any method client-side; any access restrictions are enforced server-side.

from hpsilab_mcp import HpsiMcpClient

client = HpsiMcpClient(
    api_key="YOUR_API_KEY",
    base_url="https://hpsilab.com",
)

result = client.get_ai_prediction("TSLA")
print(result)

Pass an api_key to raise rate limits or unlock account-specific features, where applicable.

Version

import hpsilab_mcp

print(hpsilab_mcp.__version__)

Request tracking

Every request carries X-HPSILAB-Source: sdk, X-HPSILAB-Client: python-sdk, X-HPSILAB-Version: <installed version>, X-HPSILAB-Tool: <method name> (e.g. get_ai_prediction), and User-Agent: hpsilab-python-sdk/<version>. These are merged into any custom headers you pass to HpsiMcpClient(...) without overriding Authorization or other business headers.

REST SDK Methods

Method Endpoint
analyze_stock(symbol) GET /api/analyze_stock/{symbol}
get_ai_prediction(symbol) GET /api/ai_prediction/{symbol}
get_iv_radar(symbol) GET /api/iv_batch?symbols={symbol}
get_option_pressure(symbol) GET /api/option_pressure/{symbol}
get_pretrade_risk_scan(symbol) GET /api/pretrade-risk-scan?symbol={symbol}
get_monte_carlo(symbol) GET /api/monte_carlo/{symbol}
get_equity_curve(symbol) GET /api/equity_curve/{symbol}
get_equity_curves(symbol) GET /api/equity_curve/{symbol} (alias of get_equity_curve)
generate_stock_images(symbol) POST /api/stock_report/{symbol}/images
generate_stock_research_report(symbol) POST /api/stock_report/{symbol}/research_report

Capability Matrix

Capability REST API MCP
analyze_stock Yes Yes
get_ai_prediction Yes Yes
get_iv_radar Yes Yes
get_option_pressure Yes Yes
get_pretrade_risk_scan Yes Yes
get_monte_carlo Yes Yes
get_equity_curve Yes No
get_equity_curves Yes Yes
generate_stock_images Yes Yes
generate_stock_research_report Yes Yes

MCP Transport

All official MCP tools have REST SDK coverage. Use an MCP-compatible client (e.g. Claude, or any MCP host) when you specifically need MCP transport, tool discovery, or assistant-native tool calls — see the MCP server docs for setup.

Scope

This package is a REST API wrapper only. It does not implement MCP transport, SSE, streaming, tool discovery, Claude integration, or proprietary finance logic.

These tools return research-oriented information. They are not financial advice.

Links

License

MIT. See LICENSE.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

hpsilab_mcp-0.5.2.tar.gz (12.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

hpsilab_mcp-0.5.2-py3-none-any.whl (8.5 kB view details)

Uploaded Python 3

File details

Details for the file hpsilab_mcp-0.5.2.tar.gz.

File metadata

  • Download URL: hpsilab_mcp-0.5.2.tar.gz
  • Upload date:
  • Size: 12.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.4

File hashes

Hashes for hpsilab_mcp-0.5.2.tar.gz
Algorithm Hash digest
SHA256 8e76d37181589adeed0fb743d635f17c332feaf1f675b3a9a436e82be2359c45
MD5 c81f3318478783296fcd3ff2221aee5f
BLAKE2b-256 b5417ef1b118f92247e3a5444313231ee018b9ac5af27f32c83aa132ecfb9e7a

See more details on using hashes here.

File details

Details for the file hpsilab_mcp-0.5.2-py3-none-any.whl.

File metadata

  • Download URL: hpsilab_mcp-0.5.2-py3-none-any.whl
  • Upload date:
  • Size: 8.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.4

File hashes

Hashes for hpsilab_mcp-0.5.2-py3-none-any.whl
Algorithm Hash digest
SHA256 040562c8f60aed650175c48b07b54c9aa15ec28837620f00e49ac1bdebc38316
MD5 beb1db182b1bff7fd9c4d1c78a077087
BLAKE2b-256 cfd730a821b9cff9f38a630367722739203a9eb200896eb156bd695c3b2900a4

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page