High Quality Solana API Data

Vybe's commitment to data quality goes beyond vetted markets. Every endpoint is designed with accuracy as the priority, from holder data refreshed every 3 hours to trade history filtered for real transactions to PnL calculations that actually match reality.

Why Data Quality Matters

On Solana, data quality varies wildly across providers. Common problems include:

Problem	Impact	Vybe Solution
Stale holder data	24-48 hour delays	Refreshed every 3 hours
Fake price wicks	False signals, triggered stops	Vetted markets only
Wash trading in volume	Misleading activity	Filtered out
Inaccurate PnL	Wrong profit calculations	Vetted trade prices
Unlabeled wallets	Anonymous whale addresses	10,000+ labeled entities
Missing DeFi positions	Incomplete portfolio	50+ protocols tracked

⚠️ Bad data leads to bad decisions. That's why Vybe exists: to give developers and traders data they can rely on.

How We Ensure Quality

Data Type	Quality Measures
Token Prices	Aggregated from vetted markets only, weighted by liquidity depth, outliers filtered, real-time updates
Holder Data	Refreshed every 3 hours, wallets labeled with known entities, categorized by holding size
Trade History	Only from vetted markets, wash trading filtered, full instruction metadata preserved
PnL Calculations	Uses vetted trade prices, accurate cost basis tracking, handles partial sells and transfers correctly
Candlestick Data	Vetted pools only, no fake wicks, accurate OHLCV from real trades
Liquidity Data	Real-time depth from vetted pools, symmetric balance requirements

Data Freshness

Different data types have different update frequencies based on what makes sense:

Data Type	Update Frequency	Why
Token prices	Real-time	Trading decisions need current prices
Candles	Per block (~400ms)	Charts should reflect latest trades
Pool liquidity	Real-time	Depth changes with every trade
Trade history	Real-time	Trades appear instantly
Holder counts	Every 3 hours	Balance changes settle over time
Top holders list	Every 3 hours	Matches holder count updates
PnL metrics	On query	Calculated fresh each request
DeFi positions	On query	Fetched from protocols live

Comparison: Vybe vs Typical APIs

Metric	Vybe	Typical Solana API
Price source	Vetted pools only	All pools
Fake wick filtering	✅ Automatic	❌ None
Wash trade filtering	✅ Yes	❌ No
Holder refresh rate	3 hours	24 hours
Holder labels	✅ 10,000+ entities	❌ None
DeFi position tracking	✅ 50+ protocols	❌ Not available
PnL accuracy	Vetted trades only	All trades
Cost basis tracking	✅ Accurate	⚠️ Approximate

Deep Dive: Holder Data Quality

Holder data is particularly important for token analytics. Here's how Vybe ensures accuracy:

Refresh Frequency

Every 3 hours vs industry standard of 24 hours
Detect accumulation/distribution in near real-time
Holder count metrics are actually useful

Wallet Labels

10,000+ labeled entities including:
- CEX wallets (Binance, Coinbase, etc.)
- KOLs and influencers
- VC and fund wallets
- Protocol treasuries
- Market makers
When a whale appears in top holders, you know who they are

Size Categorization

Holders are categorized by position size:

Dust: < $1
Small: $1 - $1,000
Medium: $1,000 - $10,000
Large: $10,000 - $100,000
Whale: > $100,000

Deep Dive: PnL Accuracy

Accurate PnL requires accurate trade data. Here's how Vybe gets it right:

The Problem

User buys 1000 TOKEN at $0.01 (cost: $10)
Wash trader manipulates price to $0.10
Other API shows: +$90 profit (900%)
Reality: Token still worth ~$10

Vybe's Solution

User buys 1000 TOKEN at $0.01 (cost: $10)
Wash trades filtered out
Vybe shows: Actual market value from vetted pools
PnL reflects reality, not manipulation

What We Track

Cost basis: Accurate purchase price from vetted trades
Partial sells: Correctly adjusts remaining cost basis
Transfers: Distinguishes transfers from trades
Multiple buys: Weighted average cost basis
Current value: From vetted market prices only

Deep Dive: Trade History Quality

What's Included

Trades from vetted markets
Full instruction metadata
Accurate timestamps
Proper price calculation

What's Filtered

Wash trading (same wallet trading with itself)
Trades in unvetted pools
Manipulated transactions
Bot spam (where detectable)

The `vettedMarketsOnly` Parameter

Some endpoints allow toggling vetted market filtering:

# Recommended: Vetted markets only
GET /trades?mintAddress=TOKEN&vettedMarketsOnly=true

# Research only: All markets
GET /trades?mintAddress=TOKEN&vettedMarketsOnly=false

When to Use Unvetted Data

Use Case	Why
Manipulation research	Study wash trading patterns
Market structure analysis	See all pools, not just vetted
New token coverage	Token may only have small pools
DEX comparison	Compare activity across all venues

⚠️ Warning: Unvetted data includes fake prices and manipulated volumes. Never use for production trading decisions.

Validation You Can Trust

Every data point in Vybe goes through validation:

Source validation: Only from supported protocols
Market validation: Vetted market criteria applied
Consistency checks: Cross-reference multiple data points
Outlier detection: Extreme values flagged and filtered
Freshness checks: Stale data marked or excluded

Next Steps

Vetted Markets - Deep dive on market vetting criteria
Supported DEXs - Which protocols we integrate with