Methodology

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 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 can plausibly fit the intended trade size.

5. Lumpa recommendation

The MVP recommendation is conservative. The future composite score will use price, merchant quality, liquidity, limits and payment compatibility as explicit factors.

6. Commercial separation

Affiliate relationships are disclosed independently. Partner status is not a reason to label a worse eligible quote as Best Rate.

Best Rate
Deterministic price ranking

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.

Lumpa's Pick
Contextual execution score

This layer is intended to answer a different question: which eligible offer looks strongest after price, merchant reliability, available liquidity, limits and payment compatibility are considered together.

The current MVP uses manually managed records. Methodology will be versioned as live data sources, freshness metrics and a formal Lumpa Score are introduced.