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Overview

Adjusted Volume isolates real-world economic activity by filtering out non-organic transfers that inflate raw blockchain metrics. This methodology provides accurate payment volume measurements for business intelligence, regulatory compliance, and market analysis.

Filtering Methodology

Step 1: Attribution Labeling

Every blockchain address is classified using Allium’s proprietary attribution engine: Attribution Sources:
  • ✅ Allium’s curated address label database
  • ✅ On-chain behavior analysis
  • ✅ Known contract deployments

Step 2: Transfer Filtering

Transfers are excluded if either the sender OR recipient is labeled as CEX/DeFi/Infrastructure:
Result: Only transfers between organic addresses remain (the “adjusted volume”).

Step 3: Crosschain Aggregation

Adjusted transfers are aggregated across all supported chains:
  • EVM Chains: Ethereum, Polygon, Arbitrum, Optimism, Base, BSC, Avalanche, etc.
  • Non-EVM: Solana, Tron, Bitcoin (via wrapped assets)
  • Stablecoins: USDC, USDT, DAI, BUSD, USDP, and others

Attribution Impact Analysis

Sample Volume Breakdown (30-day period)

Key Insight: ~79% of raw volume represents non-payment activity.

Why Exclude CEX/DeFi/Infrastructure?

CEX Exclusions

Problem: CEX addresses represent internal operations, not economic payments. Examples of excluded CEX activity:
  • User deposits → Exchange hot wallet (operational, not payment)
  • Exchange hot wallet → Cold storage (operational)
  • Market maker wallets ↔ Exchange (trading, not payment)
Retained: CEX → Individual wallet (withdrawal = potential payment destination)

DeFi Exclusions

Problem: DeFi interactions are investment/trading, not payments. Examples of excluded DeFi activity:
  • User → Uniswap (swap, not payment)
  • User → Aave (lending, not payment)
  • Yield farm ↔ User (farming rewards, not payment)
Retained: DeFi profits → User → Merchant (the final payment leg)

Infrastructure Exclusions

Problem: Infrastructure addresses represent system operations. Examples of excluded infrastructure:
  • Bridge contracts (cross-chain transfers)
  • Multisig treasuries (organizational management)
  • Protocol-owned liquidity (POL)

Edge Cases & Considerations

Case 1: CEX Withdrawals for Payments

Scenario: User withdraws USDC from Coinbase → Pays merchant Handling:
  • ❌ CEX → User: Excluded (withdrawal, not payment)
  • ✅ User → Merchant: Included (this is the actual payment)
Result: The payment is captured, but the withdrawal noise is removed.

Case 2: DeFi Yield → Real Payment

Scenario: User earns yield on Aave → Withdraws → Pays service provider Handling:
  • ❌ Aave → User: Excluded (DeFi distribution)
  • ✅ User → Service Provider: Included (payment)
Result: The payment is captured accurately.

Case 3: Cross-Chain Bridge Transfers

Scenario: User bridges USDC from Ethereum → Polygon via bridge Handling:
  • ❌ User → Bridge Contract (Ethereum): Excluded (infrastructure)
  • ❌ Bridge Contract → User (Polygon): Excluded (infrastructure)
  • The bridge transfer is NOT counted as payment volume
Why: Cross-chain transfers are asset movements, not payments. The payment occurs when the user spends the bridged funds.

Case 4: Merchant Payment Processors

Scenario: Customer pays merchant via payment processor (e.g., BitPay, Coinbase Commerce) Handling:
  • If payment processor is labeled as infrastructure → Excluded
  • If payment processor is organic → Included
Note: Payment processor addresses are continually reviewed for accurate classification.

Data Quality & Updates

Attribution Accuracy

Continuous Improvement

Attribution updates:
  • ✅ New CEX addresses added weekly
  • ✅ New DeFi protocols added on deployment
  • ✅ Community-reported labels reviewed
  • ✅ Behavioral patterns analyzed for unlabeled addresses

Validation & Verification

Independent Verification Methods

  1. Sample Inspection: Manual review of 1000 random transfers per month
  2. Comparison to Known Benchmarks: Cross-check with public payment processors
  3. Anomaly Detection: Flag sudden volume changes for investigation
  4. User Feedback: Customers report suspicious patterns

Known Limitations

Accessing Adjusted Volume

Query Adjusted Volume

All organic transfers (filter enriched_transfers on the is_adjusted_volume flag):
The full enriched_transfers table is gated. For a rolling 30-day window, use the broadly-shared stablecoins.intelligence.enriched_transfers_last_30d view (same schema).

Compare Raw vs Adjusted

See the impact of filtering:

Best Practices

Always filter enriched_transfers on is_adjusted_volume when measuring real-world payment activity. Raw volume inflates metrics by 4-5x.
Join enriched_transfers with organic_activity_classification and payment_categorization (on chain + transaction_hash) to segment by transaction intent and payment purpose (P2P, B2C, payroll, etc.).
Check label coverage in your analysis window. Low coverage may indicate new protocols or chains.
If you notice addresses that should be labeled but aren’t, contact Allium support.

FAQ

This is expected. Most chains have significant CEX/DeFi activity. A 20-30% organic ratio is normal for mature chains.
No. Bridge transfers are infrastructure operations. The payment occurs when the bridged funds are spent.
Weekly. New exchanges, protocols, and infrastructure addresses are added continuously.
Attribution labels are internal to Allium. enriched_transfers exposes the filtered result via is_adjusted_volume plus flow categories, but the raw labels themselves are not exposed in marts tables.

Next Steps

Table Reference

Detailed schema for all payment pipeline tables

Pipeline Overview

Back to payments pipeline overview