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 111M+ normalized facts across 19,000+ active and delisted US companies.
Outcomes that matter
What you actually get done — not just a feature checklist.
| The job | Valuein | Nasdaq Data Link (formerly Quandl) |
|---|---|---|
| Ship an IC-ready thesis | Minutes — standardized & cited | Stitch datasets together yourself |
| Backtest that survives out-of-sample | PIT per row + 1993→ delisted | Depends on the dataset provider |
| Let AI agents do the work | 57 MCP tools + 22 SOPs | No MCP support |
| Cost as you scale | Flat $0–$499/mo, all SEC data | Per-dataset — adds up fast |
Feature Comparison
| Feature | Valuein | Nasdaq Data Link (formerly Quandl) |
|---|---|---|
| Pricing | $0–$49–$499/month | Per-dataset pricing; adds up quickly |
| Data Standardization | 292 standard_concepts across 10K+ XBRL tags | As-filed, less normalization |
| Point-in-Time | accepted_at per fact row | Depends on dataset provider |
| Universe Coverage | 19,000+ active + delisted US tickers, 1993–now | Coverage varies by dataset |
| AI Agent Access | MCP Server — 57 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.
Start comparing today
No credit card. Free S&P500 data immediately, then Pro at $49/mo or Institutional at $499/mo. No sales call — just data.