Intrinio VS Nasdaq Data Link
Head-to-head market data API comparison.
UPDATED 2026-05-27 · 7 axes scored
WINNER · INTRINIO · 3/7 AXES
Quick Decision
▶ PICK INTRINIO IF DATA-API
- Funded startups
- Fintech apps needing SIP data
- Multi-language SDK requirements
- Institutional buyers
▶ PICK NASDAQ DATA LINK IF DATA-API
- Quant researchers
- Alternative data buyers
- Macro/fundamental analysts
- Academic researchers
Side-by-Side Matrix
| METRIC | INTRINIO | NASDAQ DATA LINK |
|---|---|---|
| API Quality | 4/5 | 3/5 |
| Doc Quality | 4/5 | 4/5 |
| Data Latency | tick | daily |
| SDK Languages | 6 languages | 5 languages |
| Free Tier | Yes | Yes |
| Affiliate Program | No | No |
| Asset Coverage Breadth | 7 classes | 6 classes |
| Asset Coverage | US Equities · US Options · Global Indices · Mutual Funds · ETFs · Fundamentals · News | US Equities · Global Equities · Futures · Forex · Commodities · Alternative Data |
| Historical Depth | Varies by product: EOD Stock Prices 50+ yrs, Fundamentals 15+ yrs, Estimates 20+ yrs, News up to 10 yrs | 50+ years on select datasets; varies widely |
| Starting Price | $0 | $0/mo |
| Rate Limits | Per-product (institutional SLA — contact sales) | Anonymous: 20 calls/10min, 50/day; Free w/ API key: 300/10s, 2,000/10min, 50,000/day; Premium: higher limits per dataset |
Asset Class Coverage
Where the two providers overlap and where each has unique coverage.
| ASSET CLASS | INTRINIO | NASDAQ DATA LINK |
|---|---|---|
| Alternative Data | — | ✓ Covered |
| Commodities | — | ✓ Covered |
| ETFs | ✓ Covered | — |
| Forex | — | ✓ Covered |
| Fundamentals | ✓ Covered | — |
| Futures | — | ✓ Covered |
| Global Equities | — | ✓ Covered |
| Global Indices | ✓ Covered | — |
| Mutual Funds | ✓ Covered | — |
| News | ✓ Covered | — |
| US Equities | ✓ Covered | ✓ Covered |
| US Options | ✓ Covered | — |
| TOTAL CLASSES | 7 | 6 |
Only Intrinio
US Options · Global Indices · Mutual Funds · ETFs · Fundamentals · News
Only Nasdaq Data Link
Global Equities · Futures · Forex · Commodities · Alternative Data
Shared · 1
US Equities
Pricing Tier Map
Full tier ladder side-by-side · names and prices as published by each provider · 6 vs 2 tiers.
INTRINIO · 6 TIERS FREE TIER
01
Free Trial $0
Time-limited trial on most products
02
EOD Stock Prices $3,100/year
50+ years of dividend & split-adjusted OHLC, 100% US exchanges
03
EquitiesEdge $1,250/mo
Real-time + historical equities bundle
04
OptionsEdge $1,250/mo
Options chains + Greeks
05
US Fundamentals $9,600/year
Standardized fundamentals data
06
Nasdaq Basic $9,000/year
Nasdaq Basic real-time
▲ Free Tier · Free trials available on most products; no permanent free tier
NASDAQ DATA LINK · 2 TIERS FREE TIER
01
Free $0/mo
Open datasets, limited premium access
02
Premium Custom
Institutional datasets, alternative data, bulk downloads
▲ Free Tier · Free: select open datasets; core financial data free with registration
Technical Stack Fit
SDK languages and data formats determine integration cost for your existing codebase.
| DIMENSION | INTRINIO | NASDAQ DATA LINK |
|---|---|---|
| API Types | REST · WebSocket · SDK | REST · SDK |
| SDK Languages | Python · Ruby · JavaScript · Java · C# · PHP | Python · R · JavaScript · Ruby · Excel |
| Data Formats | JSON · CSV · Parquet | JSON · CSV · Excel |
| Rate Limits | Per-product (institutional SLA — contact sales) | Anonymous: 20 calls/10min, 50/day; Free w/ API key: 300/10s, 2,000/10min, 50,000/day; Premium: higher limits per dataset |
| Latency Class | tick | daily |
Fit Profile
INTRINIO · PROFILE DATA-API
Best For
- Funded startups
- Fintech apps needing SIP data
- Multi-language SDK requirements
- Institutional buyers
Not Ideal For
- Indie devs
- Hobbyists
- Budget < $1k/mo
- Quick MVP prototyping
Full Intrinio Review
NASDAQ DATA LINK · PROFILE DATA-API
Best For
- Quant researchers
- Alternative data buyers
- Macro/fundamental analysts
- Academic researchers
Not Ideal For
- Real-time trading systems
- Tick data / HFT
- Crypto
- Intraday strategies
Full Nasdaq Data Link Review
Adjacent Comparisons
Related matchups — same category first, then cross-category for context.
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