Confidence, Badges, and Flags

The score is not always enough. Monad APR also displays confidence and badges.

Confidence

Confidence describes the quality of the data behind the score.

High

Confidence is high when the pool has enough depth and/or mature metadata. Examples include a well-indexed protocol, significant TVL, and enough history.

Low

Confidence is low when Monad APR can calculate a score, but some data is partial. Examples:

• newer protocol;
• limited TVL;
• incomplete metadata;
• known tokens but young pool.

Unknown

Confidence is unknown when the model does not have enough reliable signals. The UI displays ?.

Badges

single

The position is primarily exposed to one asset. Impermanent loss risk is generally absent.

multi

The position depends on multiple assets. Slippage, rebalancing, or impermanent loss may exist.

IL risk

The pool may have impermanent loss risk. This badge is especially important for volatile LPs.

outlier

The source marked the APY as abnormal. The APY can be real but temporary, or it can result from a data issue.

suspicious

Monad APR considers the data suspicious. This flag can be tied to an extreme APY, a source inconsistency, or unstable data.

Score vs Badges

The score summarizes. Badges add context.

A pool can have a good score while still showing IL risk. In that case, the protocol and assets may be strong, but the position type remains exposed to impermanent loss.