On-Chain Execution Data

0x vs Odos

Neutral on-chain benchmarking of slippage, revert rates, and overall execution quality.

Protocol Scorecard

0x
Odos
Slippage Score (0-100)
90.8
85.7
Trades Analyzed
54,686
2,800

0x and Odos are both DEX aggregators: rather than holding liquidity themselves, they split each order across many underlying pools to find the best available price. Because both compete on routing quality, the difference between them shows up in execution — realized slippage and MEV exposure — far more than in their headline rates.

Across the trades ClearTrace benchmarked, 0x posted a slippage score of 90.8/100 versus 85.7/100 for Odos — a clear edge of 5.1 points. The score reflects realized slippage only — derived from median slippage versus a 1-minute VWAP, where a higher number means lower slippage. MEV exposure and revert rates are tracked as separate metrics. 0x was measured over 54,686 trades and Odos over 2,800.

The sample sizes differ substantially (0x: 54,686 trades; Odos: 2,800), so Odos's score reflects a narrower slice of activity and may move as more volume is observed.

On this data, 0x holds the stronger slippage score, but the gap reflects routing and slippage differences rather than one venue being universally better — results shift with trade size, token pair, and market conditions, and MEV exposure and revert rates are separate considerations. Scores update on each data refresh; see our methodology for the full approach.

View Live Data Dashboard

Frequently Asked Questions

Which has better execution quality, 0x or Odos?

Based on ClearTrace's slippage score (median slippage vs a VWAP baseline), 0x edges out Odos, 90.8/100 versus 85.7/100 (a 5.1-point gap).

Does 0x or Odos offer better MEV protection?

ClearTrace publishes a slippage-based score and per-aggregator revert rates — not a per-aggregator MEV-protection score. On slippage, 0x was tighter (~9.2 bps vs ~14.3 bps). For MEV specifically, the dashboard surfaces detected sandwich activity as a separate metric.

Is 0x or Odos better for large trades?

For large orders, aggregators such as 0x can split a trade across multiple pools to reduce price impact, which often helps on size. The right venue still depends on the specific pair and amount — the live dashboard tracks current execution quality.