Introduction to FinBrain

FinBrain is a quantitative data platform that aggregates alternative data across equities, normalizes it, stores deep history, and delivers it however you work—visual Terminal for research, REST API for pipelines, Python SDK for strategies, MCP for AI-native workflows.

One platform. One subscription. No integration headaches.

What is FinBrain?

FinBrain saves you the engineering time of aggregating, mapping, and normalizing alternative data. The infrastructure is handled so you can focus on strategy development.

Datasets Available

Government & Regulatory

• Congressional Trades: US House and Senate member trading activity from STOCK Act disclosures
• Corporate Lobbying: Federal LDA filings tracking corporate influence and regulatory exposure
• Government Contracts: Federal contract awards and modifications mapped to ticker symbols
• Patent Filings: Patent applications and grants by ticker (coming soon)

Social & Consumer Intelligence

• News Sentiment: AI-powered sentiment scores derived from financial news headlines
• News Articles: Real-time financial news with source attribution and sentiment
• LinkedIn Metrics: Employee counts and follower growth mapped to ticker symbols
• App Store Ratings: iOS and Android app performance mapped to public companies
• Reddit Mentions: Ticker mentions tracked across investing subreddits

Market & Trading Signals

• Price Forecasts: Statistical time-series forecasts for 28,000+ tickers with daily and monthly predictions
• Analyst Ratings: Wall Street upgrades, downgrades, and price target changes
• Options Put/Call Ratios: Options market sentiment and flow signals
• Insider Trading: Real-time SEC Form 4 filings tracking executive purchases and sales

What Makes FinBrain Different

• Ticker-mapped alternative data: LinkedIn metrics, app ratings, and other datasets mapped to ticker symbols—data not found elsewhere in this format
• Deep history: An average of 10 years of historical data for comprehensive backtesting
• Normalized and clean: Consistent field names, data types, and update schedules across all datasets
• Multiple access methods: Same data via Terminal, API, SDK, or MCP—use what fits your workflow

Who is FinBrain For?

FinBrain is built for:

• Quantitative Researchers: Backtest trading strategies with years of historical alternative data
• Systematic Traders: Build automated trading systems with clean, normalized data feeds
• Platform Builders: Integrate alternative data into financial applications and dashboards
• Quantitative Developers: Build data pipelines with our REST API and Python SDK
• Hedge Funds & Institutions: Access unique datasets for alpha generation
• AI/LLM Developers: Query financial data semantically via MCP integration
• Individual Traders: Gain institutional-quality insights through the visual Terminal

Getting Started

Getting started with FinBrain takes just a few minutes:

1. Get Your API Key

Sign up at finbrain.tech to receive your API key. A free tier is available for testing and evaluation.

2. Choose Your Integration Method

Python SDK

The easiest way to access FinBrain data is through our official Python SDK:

pip install finbrain-python

from finbrain import FinBrainClient

fb = FinBrainClient(api_key="YOUR_API_KEY")

# Get price forecasts for Apple as DataFrame
df = fb.predictions.ticker("AAPL", prediction_type="daily",
                           as_dataframe=True)
print(df)
#                   mid    lower    upper
# date
# 2025-11-04     201.33   197.21   205.45
# 2025-11-05     202.77   196.92   208.61

REST API

Access the API directly with any HTTP client:

curl -H "Authorization: Bearer YOUR_API_KEY" "https://api.finbrain.tech/v2/predictions/daily/AAPL"

const response = await fetch(
  "https://api.finbrain.tech/v2/predictions/daily/AAPL",
  {
    headers: {
      "Authorization": "Bearer YOUR_API_KEY"
    }
  }
);
const data = await response.json();
console.log(data);

MCP Integration

For AI assistants and Claude integration, use the MCP server:

pip install finbrain-mcp

Configure in your Claude Desktop or AI assistant settings.

3. Explore the Data

All datasets are available through both programmatic access and the visual Terminal:

Dataset	Description	Update Frequency
Congressional Trading	US House and Senate member trading activity	As filed
Corporate Lobbying	Federal lobbying disclosures	Quarterly
Government Contracts	Federal contract awards	Daily
Patent Filings	USPTO granted patents mapped to ticker symbols	Weekly
News Sentiment	AI-generated sentiment scores from financial news	Daily
News Articles	Recent financial news with source attribution	Real-time
LinkedIn Metrics	Employee counts and follower growth	Weekly
App Ratings	iOS and Android app performance	Weekly
Reddit Mentions	Ticker mentions across investing subreddits	Every 4 hours
Price Forecasts	Statistical price forecasts with confidence intervals	Daily
Analyst Ratings	Wall Street ratings and price targets	Daily
Put/Call Ratios	Options market sentiment and flow	Daily
Insider Transactions	SEC Form 4 filings	Real-time

4. Use the Terminal

The FinBrain Terminal is a web-based intelligence platform that gives you visual access to every dataset and a wide range of macro and geopolitical context — no coding or installation required:

• Real-time Dashboard — Market command center with price forecast signals, earnings calendar, treasury yields, and Reddit mention rankings
• Geopolitical Intelligence — Interactive globe with global events, OSINT-style intel feed, and CFTC futures positioning across asset classes
• Markets Dashboards — Dedicated views for Equities, Fixed Income, Commodities, Currencies, and Crypto with macro indicators and yield curves
• Ticker Deep Dive — Every dataset for any ticker — forecasts with confidence intervals, sentiment, insider trades, lobbying, contracts, and Reddit activity
• 15 Alternative Data Screeners — Filter 12,000+ US tickers by price forecasts, insider buying, congressional trades, lobbying, government contracts, Reddit mentions, and more
• Portfolio Tracking — Real-time PnL, equity curves, sector allocation, and benchmark comparison

Just log in and start exploring. Learn more.

Base URL

All API requests are made to:

https://api.finbrain.tech/v2/

Authentication

The preferred authentication method is via the Authorization header:

Authorization: Bearer YOUR_API_KEY

The API supports multiple authentication methods. See the Authentication page for details.

Next Steps

• Authentication - Learn about API key authentication
• Quick Start - Make your first API call
• API Reference - Complete endpoint documentation
• Python SDK - SDK installation and usage
• Terminal - Visual dashboard for research