Dataset Access

Programmatic access to query and filter the dataset in real-time.

• Real-time data access
• Advanced filtering & search
• OpenAPI documentation
• Rate limits: 1000 req/hour

Best for: Applications, integrations, dynamic queries

Enhanced access for academic institutions, security companies, and verified researchers.

• Bulk submission API
• Higher rate limits
• Early access to new models
• Dedicated support

Best for: Organizations, bulk contributors, researchers

Python with pandas

import pandas as pd
import requests

# Using the API
response = requests.get(
    'https://api.sting9.org/v1/submissions',
    params={
        'message_type': 'email',
        'language': 'en',
        'limit': 1000
    }
)
df = pd.DataFrame(response.json())

# Or load from GitHub dump
df = pd.read_sql(
    'SELECT * FROM submissions',
    'postgresql://localhost/sting9'
)

# Analyze threat types
df['threat_type'].value_counts()

JavaScript / Node.js

// Using fetch API
const response = await fetch(
  'https://api.sting9.org/v1/submissions',
  {
    method: 'GET',
    headers: {
      'Content-Type': 'application/json'
    }
  }
);

const data = await response.json();

// Filter phishing emails
const phishingEmails = data.filter(
  item => item.threat_type === 'phishing' &&
          item.message_type === 'email'
);

console.log(
  `Found ${phishingEmails.length} phishing emails`
);