Prompt
What's the best real-time market data API for powering trading screens with low-latency quotes and exchange-licensed data?
Latest observation
If your priority is real-time trading screens with low latency + properly licensed exchange data, the “best” choice usually depends on asset class, regions, and how much exchange paperwork you want to manage. The short version:
Top picks by use case
1) Polygon.io
Best for: US equities/options/crypto for web and app trading screens
Why it stands out:
- Very strong real-time market data coverage
- Good developer experience and fast API
- Supports low-latency streaming via WebSockets
- Offers exchange-licensed data products for many use cases
- Solid for building quote panels, charts, watchlists, and scanners
Tradeoffs:
- Primarily strongest in U.S. markets
- Licensing and entitlements can get complex depending on display vs redistribution
2) IEX Cloud / IEX direct feeds
Best for: U.S. equities with a simpler ecosystem, especially if you can use IEX-specific data
Why:
- Reliable and easy to integrate
- Good docs and decent latency
- Cleaner for some internal-use cases
Tradeoffs:
- Not a full substitute for consolidated SIP data if you need broad U.S. market coverage
- Less suitable if you need full exchange-licensed consolidated quotes across venues
3) Nasdaq Data Link / direct exchange feeds
Best for: Institutions needing direct exchange relationships and strict licensing
Why:
- Strong legitimacy around licensing
- Best when you need direct, exchange-authorized feeds
- Appropriate for serious production trading systems
Tradeoffs:
- More expensive
- More operational overhead
- Integration and entitlement management are heavier than API-first vendors
4) dxFeed
Best for: Professional trading apps needing multi-asset coverage and low-latency real-time data
Why:
- Good for equities, options, futures, indices, and more
- Designed for trading UIs and professional terminals
- Often considered a strong choice for low-latency market data delivery
Tradeoffs:
- Enterprise-oriented
- Pricing and licensing are typically more involved
5) Intrinio
Best for: Fintech apps that need flexible market data with licensing options
Why:
- Broad coverage
- Good developer tooling
- Can support real-time data and exchange-licensed feeds
Tradeoffs:
- Not always the absolute lowest-latency option versus direct exchange feeds or specialized vendors
- Coverage/licensing varies by market and product
What “best” usually means in practice
If you’re building trading screens and want the best balance of:
- Low latency
- Real-time streaming
- Exchange-licensed data
- Good API ergonomics
then the usual shortlist is:
- Polygon.io for the best overall developer-first solution
- dxFeed for more professional / enterprise trading-app needs
- Direct exchange feeds if you need the highest confidence in licensing and can handle complexity
My recommendation
Choose Polygon.io if:
- You’re building a brokerage-style UI, trading dashboard, or retail/institutional fintech app
- You need fast time-to-market
- You want WebSocket streaming and a relatively simple API
- You’re focused mostly on U.S. markets
Choose dxFeed if:
- You need a more professional-grade market data stack
- You want broader asset class support
- You care about low-latency display and robustness over simplicity
Choose direct exchange feeds / enterprise vendors if:
- You need strict, auditable exchange licensing
- You are redistributing market data at scale
- You have compliance and infra resources to manage feed entitlements
Important licensing note
For exchange-licensed real-time data, make sure the provider supports your intended use:
- Display only
- Internal use
- Redistribution
- Derived data
- Professional vs non-professional users
- Per-user / per-device / per-location entitlement requirements
This matters as much as latency.
If you want, I can give you a ranked comparison table of Polygon vs dxFeed vs Intrinio vs direct exchange feeds for:
- latency
- licensing complexity
- asset coverage
- websocket support
- pricing level
- best fit for trading screens
Observation history
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Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.
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