Data That Moves Before the Market Does

Research-grade data with full history, normalized and ticker-mapped across every dataset. Deep historical granularity for backtesting and model training, production-clean for live systems.

Congressional Trades

US House and Senate member trading activity. Disclosure-based signals from STOCK Act filings.

Corporate Lobbying

Federal lobbying disclosures. Track corporate influence and regulatory exposure.

Government Contracts

Federal contract awards and modifications. Revenue signals from government spending.

Coming Soon

Patent Filings

Track patent applications and grants by ticker. Early signals of innovation and R&D activity.

News Sentiment

AI-powered sentiment scores from financial news. Gauge market mood and momentum.

LinkedIn Metrics

Track employee counts and follower growth. Early indicators of company trajectory.

App Store Ratings

Mobile app performance data from iOS and Android stores. User sentiment signals.

Reddit Mentions

Track ticker mentions across Reddit communities like WallStreetBets and r/stocks.

Price Forecasts

Daily and monthly price forecasts with confidence intervals from time-series models.

Analyst Ratings

Track analyst upgrades, downgrades, and price target changes from major institutions.

Put/Call Ratios

Options market sentiment data. Monitor put/call ratios and options flow signals.

Insider Transactions

Real-time SEC Form 4 filings. Track executive purchases, sales, and option exercises.

12,000+

US Stocks & ETFs

20

Forecast Markets

12

Datasets

10

Years Avg. History

8

Years Delivering Data

99.9%

API Uptime

Built for Institutional Research

The qualities that make alternative data actually usable: deep history, broad coverage, granular records, and clean, ticker-mapped delivery.

Deep History

An average of 10 years of history across datasets — enough to train models and test strategies through different market regimes, not just the latest one.

Full US Universe

Alternative data across 12,000+ US stocks and ETFs — the full listed universe, not just the S&P 500 — with price forecasts extending to 20 global markets.

Granular Detail

Not just daily aggregates: individual insider filings, congressional trades, lobbying disclosures, and contract awards — drill down to the single transaction.

Normalized and Comparable

Consistent, clean tabular formats across every dataset, with normalized scores — so values compare across tickers and over time.

Mapped to Tradable Tickers

News, lobbying filings, contracts, and app data are matched to the right ticker before you ever see them — the messy entity-matching is already done.

Clean and Research-Ready

Screened daily for errors, duplicates, and gaps, then delivered ready for a dataframe — minutes from API key to analysis.

Straight to Your Pipeline
via REST API & SDKs

One integration for your engineering team. Build trading systems, research platforms, and client-facing applications in days.

Deploy in Hours, Not Months

A single REST API with full historical data and consistent schema across all datasets. One integration covers everything — no vendor patchwork, no missing history.

Unified schema, all datasets - Consistent endpoint structure eliminates per-vendor integration work
Python SDK - pip install finbrain-python for rapid prototyping and production use
High-throughput access - Built for backtesting, live trading, and platform integrations
Deep data history - Years of granular historical data for backtesting, model training, and research — full depth with Enterprise

Contact Us Python SDK Docs

from finbrain import FinBrainClient

fb = FinBrainClient(api_key="YOUR_API_KEY")

# Get price forecasts
predictions = fb.predictions.ticker("AAPL",
    as_dataframe=True)

# Get insider trading data
insider = fb.insider_transactions.ticker("AAPL",
    as_dataframe=True)

# Get news sentiment
sentiment = fb.sentiments.ticker("NVDA",
    as_dataframe=True)

# Get price forecasts
curl -H "Authorization: Bearer YOUR_API_KEY" \
  "https://api.finbrain.tech/v2/predictions/daily/AAPL"

# Get insider transactions
curl -H "Authorization: Bearer YOUR_API_KEY" \
  "https://api.finbrain.tech/v2/insider-trading/AAPL"

# Get sentiment data
curl -H "Authorization: Bearer YOUR_API_KEY" \
  "https://api.finbrain.tech/v2/sentiment/NVDA"

const headers = { "Authorization": "Bearer YOUR_API_KEY" };
const BASE = "https://api.finbrain.tech/v2";

const predictions = await fetch(
  `${BASE}/predictions/daily/AAPL`, { headers }
).then(res => res.json());

const insider = await fetch(
  `${BASE}/insider-trading/AAPL`, { headers }
).then(res => res.json());

#include <curl/curl.h>
#include <nlohmann/json.hpp>

json get_predictions(const std::string& symbol,
                     const std::string& api_key) {
    CURL* curl = curl_easy_init();
    std::string response, url =
      "https://api.finbrain.tech/v2/predictions/daily/" + symbol;
    std::string auth = "Authorization: Bearer " + api_key;
    struct curl_slist* hdrs = curl_slist_append(nullptr, auth.c_str());

    curl_easy_setopt(curl, CURLOPT_URL, url.c_str());
    curl_easy_setopt(curl, CURLOPT_HTTPHEADER, hdrs);
    curl_easy_setopt(curl, CURLOPT_WRITEDATA, &response);
    curl_easy_perform(curl);
    curl_slist_free_all(hdrs);
    curl_easy_cleanup(curl);
    return json::parse(response);
}

use reqwest::blocking::Client;
use reqwest::header::{AUTHORIZATION, HeaderValue};

fn get_predictions(symbol: &str, api_key: &str)
    -> Result<serde_json::Value, reqwest::Error> {
    let url = format!(
        "https://api.finbrain.tech/v2/predictions/daily/{}",
        symbol
    );
    Client::new().get(&url)
        .header(AUTHORIZATION, HeaderValue::from_str(
            &format!("Bearer {}", api_key)).unwrap())
        .send()?.json()
}

From Data to Insights
FinBrain Terminal

Give analysts and portfolio managers the same datasets through a visual interface — no engineering required.

Real-Time Dashboard

Market command center with geopolitical monitor, AI signals, earnings calendar, treasury yields, and activity wire — everything you need in one view.

Geopolitical Intelligence

Interactive globe with global conflict and event data. Defense and OSINT analysis feeds. Futures positioning across all asset classes.

Ticker Deep Dive

Every dataset for any ticker — price forecasts with confidence intervals, sentiment charts, insider transactions, analyst ratings, lobbying filings, and Reddit activity.

Commodities & Energy

Crude oil inventories, natural gas storage, US production data, and futures positioning across energy, metals, and agriculture.

15 Alternative Data Screeners

Filter 12,000+ US tickers by price forecasts, insider buying, congressional trades, lobbying, government contracts, Reddit mentions, and more.

Transaction-Level Analysis

Drill down to individual filings — analyze every insider purchase, congressional trade, lobbying disclosure, and government contract by transaction value, date, and entity.

Crypto Markets

Top coins by market cap, sentiment index, Bitcoin network stats, trending coins, and institutional futures positioning.

Try Terminal Terminal Docs

Plug Alternative Data
Into Your LLMs

Give your team's AI assistants direct access to FinBrain data. Accelerate research workflows across the organization.

AI-Native Data Access

Use the Model Context Protocol (MCP) to connect FinBrain data to Claude, ChatGPT, and custom LLM applications. Multiply analyst productivity.

Natural language queries - Analysts query predictions, insider trades, and sentiment in plain English
Claude Desktop integration - Just pip install finbrain-mcp and add your config
Custom LLM apps - Build internal research copilots and client-facing AI tools
Real-time data - Always current market intelligence across your team’s AI workflows

Contact Us MCP Docs

”Compare price forecasts for our portfolio holdings"

"Show insider trades for AAPL in the last 30 days"

"How has sentiment shifted across our S&P 500 coverage?"

"Flag congressional trades that overlap with our positions”

Who FinBrain Is For

Teams across the investment landscape build on the same datasets — each through the access that fits how they work.

Quant Funds & Systematic Traders

Add alternative signals to your research pipeline in days, not months. Full history for backtesting, clean daily delivery for production strategies.

Trading Platforms & Aggregators

Offer your users 12 new datasets through a single integration. Redistribution and client-facing display rights come with the enterprise agreement.

Corporate Intelligence & Strategy

Track competitor hiring, lobbying, government contracts, and market sentiment — through the Terminal or your team’s AI assistants, no engineering needed.

Licensing & Plans

Enterprise data licensing for funds, platforms, and research teams — plus self-serve plans for individual users.

Monthly Annual Save 17%

For Teams

Custom

Everything in Terminal + API + MCP
Full data history (avg. 10 years)
Dedicated account manager
Data redistribution license
Client-facing display rights
AI/LLM training rights
SLA guarantees
On-premise deployment options
White-label solutions

Contact Us

Individual

$499 /month

Everything in FinBrain Terminal
2 years of data history
Full REST API access
2,000 API requests/hour
Python SDK included
MCP for LLM integration
Custom integrations
Priority support

Get Started

Individual

$99 /month

All 12 alternative datasets
12,000+ US stocks & ETFs covered
15 alternative data screeners
Real-time Dashboard & macro indicators
Geopolitical monitoring & OSINT feeds
Yield curves, COT positioning & more
Portfolio tracking & analytics
Email support

Get Started

Frequently Asked Questions

Common questions about integration, coverage, and enterprise plans.

Getting Started

Questions about API access and setup.

Data & Coverage

What data is available and how often it updates.

Pricing & Support

Subscription plans and support options.

How do I get started?

Sign up at terminal.finbrain.tech for instant access. Most users are in production within a day. Enterprise clients can contact sales for guided onboarding.

What programming languages are supported?

We provide an official Python SDK with pip install finbrain-python. For other languages, use our REST API directly with any HTTP client.

What are the rate limits?

Individual plans include 2,000 requests per hour. Enterprise plans offer custom rate limits to match your team's throughput requirements.

Can we redistribute or display the data to clients?

Redistribution and client-facing display rights are available with our Enterprise plan. Contact sales to discuss licensing for your use case.

Can we evaluate the data before subscribing?

Yes. Institutional clients get a 30-day free evaluation with live daily data and a trailing 24 months of history across the full universe. Book a call and we'll scope the trial to your use case and onboard your team.

What markets are covered?

Our alternative datasets focus on US-listed assets — 12,000+ stocks and ETFs across NYSE and NASDAQ. Price forecasts additionally cover 20 global markets, including international equities, forex, crypto, and commodities, and news sentiment extends to selected international markets.

How often is the data updated?

Price forecasts update daily before market open. Insider transactions and congressional trades update in real-time as filings are published. Sentiment scores update throughout the trading day.

How far back does historical data go?

Historical depth varies by dataset. Our longest-running datasets carry 10+ years of history, corporate lobbying goes back 15+ years, and newer series are being backfilled toward similar depth. Individual plans include the most recent 2 years of history; full historical depth comes with Enterprise agreements. Price forecasts are delivered point-in-time and represent forward-looking predictions only — historical forecasts are not exposed via the API.

How should we evaluate the price forecasts?

Our forecasts are generated using ARIMA time-series models that capture the statistical properties of historical price movements and produce out-of-sample predictions with calibrated confidence intervals. Forecasts are delivered point-in-time — to evaluate them, capture the daily output and compare against realized prices over time. See the Price Forecasts dataset page for methodology details.

Is the data suitable for backtesting?

Yes. Historical records reflect what was known on each date, and past values don't change after the fact — so backtest results are reproducible and free of look-ahead bias. Core datasets carry 10+ years of history, up to 15 for corporate lobbying.

Does the data contain inside information or personal data?

No. All datasets are built entirely from publicly available information. They contain no material non-public information and no personal data, which keeps vendor due diligence and compliance review simple.

What plans are available for teams?

Teams and institutions are served by the Enterprise plan: custom pricing with SLAs, dedicated support, custom rate limits, and redistribution licensing. Individual users can self-serve with FinBrain Terminal at $99/month or Terminal + API + MCP at $499/month.

What support is available?

All plans include email support. Terminal + API plans include priority support. Enterprise clients get a dedicated account manager and SLA-backed response times.

What does the Enterprise plan include?

Data redistribution rights, client-facing display rights, AI/LLM training rights, dedicated account management, SLA guarantees, on-premise deployment options, and white-label solutions. Enterprise plans are tailored to your team's specific requirements.

Do you offer SLAs?

Enterprise agreements include a contractual SLA covering API availability with a 99.9% monthly target and prioritized support response, backed by service credits. Individual plans receive best-effort support.

Can we start with an individual plan and upgrade later?

Yes. Many teams start with an individual Terminal + API plan for evaluation, then upgrade to Enterprise as they scale. Your data and integrations carry over seamlessly.

Alternative Data for Systematic Edge