CoinGecko vs Pyth Network
A detailed head-to-head comparison of CoinGecko and Pyth Network — pricing, features, and which one wins for different use cases.
CoinGecko
The most comprehensive free crypto market data API — 10,000+ tokens, DEX data, and NFTs
CoinGecko is the world's largest independent cryptocurrency data aggregator, tracking prices, market caps, volumes, and on-chain metrics for over 13,000 coins across 800+ exchanges. Founded in 2014, i…
Full review →Pyth Network
Low-latency on-chain oracle delivering first-party market data to 90+ chains
Pyth Network is a decentralized oracle that delivers high-frequency, low-latency market-price data on-chain, sourced directly from first-party publishers — major trading firms, exchanges, and market m…
Full review →Feature Comparison
| Feature | CoinGecko | Pyth Network |
|---|---|---|
| Price Data | ✓ | ✓ |
| Historical O H L C V | ✓ | ✗ |
| Exchange Data | ✓ | ✓ |
| Defi Tvl | ✓ | ✗ |
| Dex On Chain Data | ✓ | ✓ |
| Nft Data | ✓ | ✗ |
| Derivatives Data | ✓ | ✓ |
| Exchange Trust Score | ✓ | ✗ |
| Free Access | ✓ | ✓ |
| Api Stability | ✓ | ✓ |
CoinGecko Pricing
CoinGecko
Demo (Free)
Free
- ✓30 calls/min
- ✓13,000+ coins
- ✓Historical prices
- ✓Exchange data
- ✓GeckoTerminal DEX data
CoinGecko
Analyst
$129/mo
$1290/yr billed annually
- ✓500 calls/min
- ✓Full historical data
- ✓Bulk endpoints
- ✓Priority support
CoinGecko
Lite
$499/mo
$4990/yr billed annually
- ✓500 calls/min
- ✓Dedicated endpoints
- ✓NFT data
- ✓Enhanced SLA
CoinGecko
Pro
$999/mo
$9990/yr billed annually
- ✓1,000 calls/min
- ✓All endpoints
- ✓Dedicated infra
- ✓Account manager
Pyth Network Pricing
Pyth Network
Free to consume (gas only)
Free
- ✓First-party price feeds
- ✓90+ blockchains
- ✓Crypto, equities, FX, commodities
- ✓Pull-based low-latency updates
- ✓PYTH governance token
Verdict: Which Should You Choose?
CoinGecko is the better pick if you need most generous free tier of any major crypto data api (30 req/min). Pyth Network wins when first-party data from real trading firms and exchanges. Both are production-ready — the right choice depends on your team's workflow and budget.