Data Quality
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 ~$10Vybe'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 manipulationWhat 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
vettedMarketsOnly ParameterSome 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=falseWhen 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
Updated 4 days ago