A global asset manager was building internal AI research tools but couldn't get reliable, structured data from public web sources. Manual extraction was slow, inconsistent, and couldn't keep up with their models' appetite for fresh data.
Websites
Documents
Data Sources
Extract
Normalize
Sync
Data Warehouse
AI Tools
| Source | Type | Records | Freshness | Output | Status |
|---|---|---|---|---|---|
| Company IR Pages | Earnings Data | 2,450 | Daily | JSON | Active |
| SEC EDGAR | 10-K Filings | 1,234 | Daily | JSON | Active |
| News Sites | Articles | 8,920 | Hourly | Markdown | Active |
| Research Portals | Reports | 423 | Weekly | JSON | Active |
| Regulatory Bodies | Policy Updates | 156 | Daily | JSON | Active |
Migrate your scraper fleet to self-healing automation. Get 5x more coverage at 40% lower cost than in-house development.
Detect changes in public sources before they hit traditional data feeds. Get alerts on market-moving events in real-time.
Find relevant company documents and transform them into normalized, backtesting-ready datasets across any region.