Comparison
Valuein vs Nasdaq Data Link (formerly Quandl)
More recent data, open-source SDK, and AI-native tools
The key difference
Quandl/Nasdaq Data Link is a data marketplace. Valuein is a purpose-built SEC EDGAR product with standardized concepts, PIT guarantees, and 105M+ normalized facts across ~18,000 active and delisted US companies.
Feature Comparison
| Feature | Valuein | Nasdaq Data Link (formerly Quandl) |
|---|---|---|
| Pricing | $0–$49–$499/month | Per-dataset pricing; adds up quickly |
| Data Standardization | ~150 standard_concepts across 10K+ XBRL tags | As-filed, less normalization |
| Point-in-Time | accepted_at per fact row | Depends on dataset provider |
| Universe Coverage | ~18,000 active + delisted US tickers, 1994–now | Coverage varies by dataset |
| AI Agent Access | MCP Server — 49 tools + 22 SOPs | No MCP support |
| Python SDK | pip install valuein-sdk (open source) | Proprietary SDK |
| Parquet Format | DuckDB-optimized Parquet | CSV/JSON primarily |
Where Nasdaq Data Link (formerly Quandl) is stronger
- Quandl has broader alternative data (sentiment, satellite, credit card)
- Longer track record and more datasets
Best for
Python-first quants who want standardized SEC fundamentals with open tooling and PIT guarantees.
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