FeeScope
A multi-processor fee audit that ties settlement charges back to transactions, explains effective cost by payment path and produces reviewable savings scenarios for merchants and agencies.
Commerce teams can see gross sales and net deposits but often struggle to explain processor fees across cards, wallets, installments, refunds, disputes and currencies. FeeScope imports authorized transaction and settlement records, normalizes each processor's fee components and reconciles them before building comparable scenarios. The supplied research confirms a direct fee-audit competitor with tiered pricing and a current single-processor focus, plus active payments and savings platforms. Those subscriptions are observed market references, not fixed product pricing. Multi-processor coverage and an agency workspace are supported gaps, not proof of defensibility. A lower modeled rate is not a guaranteed quote: interchange, assessment, markup, card mix, geography, fraud, dispute and contract terms vary. Source transaction, settlement line, normalized fee, reconciliation status, benchmark cohort, modeled alternative, provider quote, merchant approval, migration and realized savings remain separate. Referral compensation must be disclosed and cannot determine ranking. The product can make fee leakage and comparison assumptions visible. It cannot guarantee savings, provide payment or financial advice, prove that a processor overcharged or switch a merchant without contract and operational review.
An ecommerce finance or operations owner, or an agency serving merchants, with access to processor settlements and authority to review payment costs.
Merchants want a simple savings answer, while honest comparisons require messy settlement evidence, contract context and disclosed uncertainty.
Current fee pressure and competitor validation support a useful window without a hard deadline.
Three cross-references and many inbound connections support moderate internal convergence.
A concrete merchant workflow, a verified direct competitor and multi-processor normalization support a clear self-serve audit product with agency extension.
Data semantics and contracts vary, savings estimates can mislead, referrals create conflicts and processors or the direct competitor can broaden coverage.
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