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
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
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
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
8e76d37181589adeed0fb743d635f17c332feaf1f675b3a9a436e82be2359c45
|
|
| MD5 |
c81f3318478783296fcd3ff2221aee5f
|
|
| BLAKE2b-256 |
b5417ef1b118f92247e3a5444313231ee018b9ac5af27f32c83aa132ecfb9e7a
|
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
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
040562c8f60aed650175c48b07b54c9aa15ec28837620f00e49ac1bdebc38316
|
|
| MD5 |
beb1db182b1bff7fd9c4d1c78a077087
|
|
| BLAKE2b-256 |
cfd730a821b9cff9f38a630367722739203a9eb200896eb156bd695c3b2900a4
|