MEV risk score
What it shows
An MEV (Maximal Extractable Value) risk score for the network on a 0–100 scale with a tier (Low/Medium/High). The higher the score, the more frequent sandwich attacks and the greater the risk that retail trades get exploited by bots.
How to read it
Read the score and tier first: the higher it is, the more careful you should be with large DEX trades and the more important a low slippage limit becomes. Cross-reference the score with the sandwich-cluster count and block sample to judge whether the risk is real or momentary. Practical takeaway: with a high MEV score, cap slippage and consider splitting large orders to make the bots job harder.
Parameters
- MEV risk score
- An aggregate 0–100 score; below 30 Low, 30–60 Medium, 60+ High.
- Positive reading: Low (below 30): little bot activity, trades relatively safe.
- Negative reading: High (60+): intense sandwich attacks, elevated risk of worse pricing for ordinary trades.
- Neutral reading: Medium (30–60): moderate MEV activity, worth setting low slippage.
- Sandwich clusters
- The number of detected sandwich-attack clusters in the analyzed window.
- Negative reading: A rising number means that bots are actively hunting retail trades.
- Neutral reading: Small and stable, that is typical background MEV activity.
- Blocks analyzed
- How many blocks the analysis covered: sample-size context.
- Neutral reading: A larger block sample = a more reliable risk score.
- DEX trades total
- The total number of DEX trades factored into the score.
- Neutral reading: The share of sandwich clusters within this total shows the scale of the MEV problem.
Example
An MEV score of 72/100 (High) with 140 sandwich clusters across 1,800 analyzed DEX trades, which means bots are very active and large orders risk worse pricing. A score of 18/100 (Low) with a handful of clusters means a relatively calm trading environment.