8 Quant Finance Tools for AI Agents

Start with analyze_stock, then drill into prediction, IV, option pressure, Monte Carlo, equity curves, images, and research reports.

View MCP setup

Tools

8 tools, one endpoint pattern.

GET

analyze_stock

Recommended starting point: aggregate analysis, factors, and source status.

/api/analyze_stock/{symbol}

client.analyze_stock("NVDA")

GET

get_ai_prediction

Next-day probability, consensus, stop-loss, and take-profit.

/api/ai_prediction/{symbol}

client.get_ai_prediction("NVDA")

GET

get_iv_radar

IV rank, percentile, skew, squeeze score, and regime.

/api/iv_batch?symbols={symbol}

client.get_iv_radar("NVDA")

GET

get_option_pressure

Max pain, gamma wall, squeeze target, and expiry range.

/api/option_pressure/{symbol}

client.get_option_pressure("NVDA")

GET

get_monte_carlo

Projected close, likely range, support, resistance, and upside odds.

/api/monte_carlo/{symbol}

client.get_monte_carlo("NVDA")

GET

get_equity_curves

Equity curves, drawdown, win rate, and performance profile.

/api/equity_curve/{symbol}

client.get_equity_curves("NVDA")

POST

generate_stock_images

Stock-report chart images for sharing or embedding.

/api/stock_report/{symbol}/images

client.generate_stock_images("NVDA")

POST

generate_stock_research_report

Presentation-ready research report with charts.

/api/stock_report/{symbol}/research_report

client.generate_stock_research_report("NVDA")

Pricing

Developer is $99/month.

Includes all 8 tools, MCP and REST access, and your own API keys.

$99per month

Early subscribers retain current pricing as the platform expands.

8 Quant Finance Tools for AI Agents
MCP access for agents, plus REST endpoints for apps
API keys for your own workflows
7-day free trial

MCP Setup

Connect your agent.

API keys are available on the Developer plan and up.

1. Create a key

hpsilab.com keys are shown once.

Manage API keys

Keep credentials private

2. Add the MCP server

URL:     https://hpsilab.com/mcp
Header:  Authorization: Bearer hpsi_your_key

Claude Desktop

Add this server to claude_desktop_config.json.

{
  "mcpServers": {
    "hpsilab": {
      "type": "streamable-http",
      "url": "https://hpsilab.com/mcp",
      "headers": {
        "Authorization": "Bearer hpsi_your_key"
      }
    }
  }
}

Cursor

Save this in .cursor/mcp.json or your global Cursor MCP config.

{
  "mcpServers": {
    "hpsilab": {
      "url": "https://hpsilab.com/mcp",
      "headers": {
        "Authorization": "Bearer hpsi_your_key"
      }
    }
  }
}

REST API

Call any tool directly over HTTP — no SDK or MCP client required.

Example request

curl -H "Authorization: Bearer hpsi_your_key" \
  https://hpsilab.com/api/analyze_stock/NVDA

All 8 tools are reachable as REST endpoints under https://hpsilab.com/api/. See each tool card above for its exact path.

Python SDK

Integrate H|ψ⟩ analytics directly into your Python workflows and agents.

PyPI

Install

pip install hpsilab-mcp

Quick start

from hpsilab_mcp import HpsiMcpClient

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

# Aggregate analysis
result = client.analyze_stock("NVDA")
print(result)

# IV radar
iv = client.get_iv_radar("NVDA")
print(iv)

FAQ

Short answers.

What is hpsilab.com?

A market-intelligence layer for AI agents.

Why trust it?

Every prediction is logged, win or lose.

Why $99/month?

You get the full 8-tool stack without building quant infrastructure yourself.

Do I need MCP?

Use MCP for agents. Use REST for direct app calls.

Is there a Python SDK?

Yes. pip install hpsilab-mcp — integrates the full 8-tool stack into any Python workflow or agent.