A ranking users can inspect instead of a black-box recommendation.
Lumpascan separates mathematical Best Rate from contextual recommendation logic and shows the execution variables that can change whether a P2P quote is actually useful.
1. Eligibility filters
Asset, fiat currency, BUY/SELL side, amount and selected payment methods define which LIVE offers are eligible for comparison.
2. Best Rate
For BUY, eligible offers are sorted from lower to higher price. For SELL, they are sorted from higher to lower price.
3. Merchant context
Completion rate and trade count are shown next to price so a user can judge execution history rather than reading price alone.
4. Limits and liquidity
Minimum, maximum and available asset values help determine whether a quote fits the intended trade size before it can rank.
5. Lumpa recommendation
Best Rate remains deterministic. A separate contextual layer can consider price, merchant quality, liquidity, limits and payment compatibility without rewriting the underlying rate ranking.
6. Commercial separation
Affiliate relationships are disclosed independently. Partner status is not a reason to label a worse eligible quote as Best Rate.
After the active filters are applied, the best eligible BUY price is the lowest price and the best eligible SELL price is the highest price. No affiliate weighting is added to this label.
This layer answers a different question: which eligible offer looks strongest after price, merchant reliability, available liquidity, limits and payment compatibility are considered together.