Stablecoin Activity Enriched (EVM) - Dune Docs

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The stablecoins_evm.activity_enriched table classifies each stablecoin transfer into an activity category (for example DEX, CEX, bridge, lending, issuer).

Why these enriched tables matter

Stablecoin analysis comes down to two fundamental questions:

  1. Where are stablecoins right now? (balances)
  2. How did they get there? (activity)

This activity-enriched table answers the second question by tracing the economic path of transfers across categories such as DEX trading, lending, borrowing, bridging, internal transfers, and payment-like flows.

What this dataset is designed to do

The goal is to turn stablecoin flow data from noise into structured economic insight.

Table schema

Column Type Description
blockchain VARCHAR Chain name
block_month DATE First day of month (partition column)
block_date DATE Transaction date
block_time TIMESTAMP Transaction timestamp
block_number BIGINT Block number
tx_hash VARBINARY Transaction hash
evt_index BIGINT Transfer event index
activity_evt_index BIGINT Matched activity event index (nullable)
trace_address VARCHAR Trace address (nullable)
token_standard VARCHAR Token standard (erc20)
token_address VARBINARY Token contract address
token_symbol VARCHAR Token symbol
currency VARCHAR ISO 4217 code
amount_raw UINT256 Raw transfer amount
amount DOUBLE Decimals-adjusted amount
price_usd DOUBLE USD price used for valuation
amount_usd DOUBLE USD amount
from_address VARBINARY Sender
to_address VARBINARY Recipient
category VARCHAR Activity category
activity VARCHAR Activity label
project_address VARBINARY Matched project address (nullable)
project_name VARCHAR Matched project name (nullable)
project_version VARCHAR Matched project version (nullable)
unique_key VARCHAR Unique transfer identifier

Value possibilities

The category and activity columns are intentionally standardized so downstream models, dashboards, and monitoring can rely on deterministic value vocabularies.

category Allowed activity values Description
dex_swap dex_swap Direct swaps on decentralized exchanges and DEX aggregators (Uniswap, Curve, 1inch, etc.).
flashloan flashloan_borrow, flashloan_repay Atomic borrow-and-repay within a single transaction.
issuer issuer_peg_rebalance Peg stability module operations (e.g. Sky PSM, Spark PSM). Ethereum only.
yield yield_deposit, yield_withdraw Deposits and withdrawals from yield strategy contracts. Ethereum only.
cex cex_deposit, cex_withdraw, cex_internal_transfer Transfers to/from known centralized exchange wallets.
lending lending_supply, lending_borrow, lending_repay, lending_withdraw Supply, borrow, repay, and withdraw on lending protocols.
bridge bridge_deposit, bridge_withdraw Cross-chain transfers via bridge contracts.
dex_liquidity dex_liquidity_supply, dex_liquidity_withdraw Non-swap transfers to/from DEX contracts (liquidity adds/removes).
unidentified unidentified_activity Transfers not matched to any known activity pattern.

This mapping enables consistent flow segmentation, KPI rollups, and alerting logic without custom per-dashboard label handling.As protocol coverage expands, new values may be added in backward-compatible fashion.

Methodology

Classification is done at the transfer level, not the transaction level.

  1. Start from curated stablecoin transfer rows in stablecoins_evm.transfers.
  2. Build candidate matches for each transfer against activity-specific datasets (for example DEX, bridge, CEX, flashloan, lending, and issuer signals) using transfer-level keys such as tx_hash, token identity, and amount context.
  3. Resolve conflicts with a deterministic precedence order, so each transfer gets exactly one winning category.
  4. Write unmatched transfers as unidentified to preserve full coverage instead of dropping rows.

Important interpretation details

Sample query

SELECT
    a.block_date
    , a.category
    , COUNT(*) AS transfers
    , SUM(a.amount_usd) AS volume_usd
FROM stablecoins_evm.activity_enriched AS a
WHERE a.blockchain = 'ethereum'
    AND a.block_date >= CURRENT_DATE - INTERVAL '30' DAY
GROUP BY a.block_date, a.category
ORDER BY a.block_date DESC, volume_usd DESC

Notes