Quickstart

Get started with Radar DaaS data.

Download Data

Dashboard (Easiest)

1. Go to radar.matchstick.trading
2. Sign in with your account
3. Go to the Events page and scroll to Raw Data Access
4. Click Download Parquet or Download Sample CSV

REST API

# Try with demo key (10 req/min limit)
curl "https://radar.matchstick.trading/api/events?start=2026-01-01&end=2026-01-31&api_key=msr_demo_SfATJ8Tloemw8NGUZJyeFhVuiE8ieFRL"

# Using header (recommended for production)
curl -H "Authorization: Bearer YOUR_API_KEY" \
  "https://radar.matchstick.trading/api/events?start=2026-01-01&end=2026-01-31"

Get your own API key from the account dashboard for higher rate limits.

Load the Data

Python with pandas

import pandas as pd

df = pd.read_parquet('events.parquet')
print(df.head())

Python with polars

import polars as pl

df = pl.read_parquet('events.parquet')
print(df.head())

DuckDB

SELECT * FROM 'events.parquet' LIMIT 10;

Basic Analysis

Find the largest insider purchases:

import polars as pl

# Load data
df = pl.read_parquet('events.parquet')

# Filter to purchases, sort by value
top_purchases = (
    df.filter(pl.col('transaction_code') == 'P')
    .sort('total_value', descending=True)
    .head(20)
    .select(['issuer', 'reporting_owner', 'shares', 'total_value', 'filed_at'])
)

print(top_purchases)

Free Sample

Download a free CSV sample without authentication:

curl -o sample.csv \
  "https://radar.matchstick.trading/api/downloads?file=sample"

Next Steps

• Data Schema - Field definitions
• Working with Parquet - Advanced parquet tips
• API Reference - Full API documentation