Cleartrace

Rank DEXs and aggregators by realized execution quality: median slippage against a minute-level off-chain reference price (Dune prices.usd, an interpolated 5-minute exchange-aggregate feed and not a VWAP), expressed as a score of 0-100 (higher means less slippage). This score measures SLIPPAGE ONLY. Revert rates and MEV exposure are tracked as separate metrics and are deliberately not folded in, so do not present this as an overall 'best execution' ranking -- a venue can score well here and fail often, and the caller has to ask `revert_rates` to find that out. Execution quality is not uniform across chains: pass a chain for a single-chain ranking, or 'all' for the blended cross-chain rollup, and do not describe the blend as if it were one chain's result.

The share of a venue's routing transactions that fail on-chain, per chain. Reported separately from slippage because reliability and price are different questions. DO NOT RANK ACROSS EXECUTION MODELS. A revert rate measures reliability only where the failing transaction is the user's own -- a 'router' venue, where the user signs and submits the swap. On a batch-auction or intent venue a solver settles, and an order that cannot be filled never becomes a transaction at all, so its on-chain revert rate is structurally near zero no matter how well or badly it fills. Sorting every venue by revert rate puts those at the top and means nothing. `comparable_only` (the default) returns only the rows that may legitimately be ranked against each other. Read `user_revert_rate_pct` when present: the headline rate on some cells stays inflated by address-rotating spam senders that no per-sender filter separates cleanly, and the user-only figure is the measured genuine-user experience. Each row carries its `execution_model` and a `revert_comparable` flag; quote them.

Which frontend, router or interface originated on-chain DEX volume, aggregated per contract per chain. This is the dataset ClearTrace exists for: it names the venue behind volume that block explorers leave as an anonymous contract. THE VOLUME COLUMNS ARE TWO DIFFERENT KINDS AND MUST NOT BE SUMMED TOGETHER. `direct_volume_usd`, `aggregator_volume_usd`, `proxy_volume_usd` and `aggregator_partner_volume_usd` partition `total_volume_usd` between them. `calldata_suffix_volume_usd` and `erc20_fee_volume_usd` are OVERLAYS: they re-describe dollars already counted in the first group, seen through a different attribution vector. A suffix figure larger than the total is therefore correct and is not a bug. Adding an overlay to a partition column double-counts. Volumes refresh weekly and are dated to the Monday of their window, so present them as a week's volume and never as today's.

What ClearTrace knows about a single contract or wallet address: its per-chain volume split across the four attribution vectors, plus any label resolved for it. Most useful on the ANONYMOUS routers and proxies that aggregate views leave unnamed -- that is the differentiated question this answers. Known, named protocol contracts are often keyed by name rather than address upstream and may return nothing here, so an empty result for a famous router is not evidence the address is obscure. An address that resolves to no label is reported with a null label. Report that as 'not identified', which is what it means: these are genuinely anonymous deployments, and guessing an operator from volume or deployer alone has been wrong before.

Classify a single transaction against the attribution engine: which frontend or router originated the trade and by which evidence, the pools it touched, any fee recipients, and whether it was sandwiched. Confidence is per-vector and is reported per result -- a calldata suffix is strong evidence a specific frontend tagged the swap, while a fee recipient is indirect evidence and is never rated high. Pass that qualification through instead of stating the frontend flatly. `estimated_volume_usd` (only with price=true) is a best-effort spot price on the dominant leg. It is an approximation for orientation and must never be quoted as a settlement figure. Fee amounts are exact raw token integers with no decimals or pricing applied. deep=true costs more upstream credits; leave it off unless a shallow classification came back unattributed.

Current gas price on each supported chain, from RPC. On the L2s (Base, Arbitrum, Optimism) this is the EXECUTION gas price only and excludes the L1 data availability fee, which is a real and sometimes dominant part of an L2 transaction's cost. Any cost estimate built from this figure on an L2 is a lower bound and should be labelled as one; comparing an L2 'cost' against Ethereum's on this basis overstates the L2's advantage.

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