Ecommerce merchants
Surface where acceptance is slipping – decline codes, single-processor risk, checkout fragility – see the revenue exposed, and get recommended fixes.
Payment analytics for ecommerce →PayRes gives payment and engineering teams one live view of their processors, billing systems, webhooks and revenue flows – showing what can fail, how much revenue is exposed, and what to fix first.
84% of MRR routed through one processor; no validated failover.
invoice.payment_failed retries capped at 3; queue depth rising.
12 refunds last 24h not reflected in internal ledger.
Designed for multi-PSP, multi-billing payment environments
PayRes maps and validates payment resilience – and surfaces the analytics behind it – for three kinds of business, each exposed to failure in a different part of the stack.
Surface where acceptance is slipping – decline codes, single-processor risk, checkout fragility – see the revenue exposed, and get recommended fixes.
Payment analytics for ecommerce →Find the dropped events, retry caps and token lock-in behind failed renewals – upstream of your dunning tool.
Failed-payment analytics for SaaS →Map, monitor and prove the resilience of every flow you facilitate for others.
Payment resilience for platforms →Running payments across borders? That challenge cuts across all three – cross-border payment resilience.
Generic observability shows what happened. Processor dashboards show one provider. PayRes shows what's about to break – and what to do about it.
Across processors, billing platforms, webhooks, queues, tokens, ledgers and recovery paths.
Translate technical weaknesses into the actual MRR, ARR and one-time revenue at stake.
Validate whether failover and retry paths actually work – not whether they exist on paper.
Prioritize by business impact, not by alert volume or vendor noise.
PayRes doesn't just report what happened. It identifies the patterns and implementation weaknesses behind payment failure – then recommends what to fix to improve performance, recovery, resilience and revenue protection.
Spot where authorization rates slip and which decline codes repeat – by payment method, market and processor – so you fix the root cause instead of chasing symptoms.
Connect acceptance, retry and recovery outcomes to the implementation details behind them: routing rules, token behavior, webhook handling and configuration drift.
Find implementation weaknesses – outdated SDKs, misconfigured webhooks, missing idempotency, stale tokens – that silently lower conversion and increase churn.
Detect where failed renewals are missed, misclassified, retried too aggressively or not recovered at all – before they become involuntary churn.
Understand the factors behind missed renewals – from expired cards and token vault lock-in to retry timing and dunning gaps – and prioritize the fixes that protect revenue.
Quantify the revenue at risk from each weakness, rank improvements by expected impact and effort, and give teams clear recommendations on what to fix first.
Connect read-only. PayRes discovers processors, billing platforms, token vaults, webhooks and ledgers – then maps how money actually moves, where it concentrates, and where it can fail.
84% of recurring revenue depends on one processor and one token vault, with no validated migration path.
invoice.payment_failed retries cap at 3 with no DLQ alerting. Failed retries silently drop subscriptions.
Refunds processed at the PSP are not consistently reflected in the internal ledger within reconciliation windows.
Findings shown are illustrative, not real customer data.
PayRes is payment-specific analytics and observability, built for resilience: it surfaces what's degrading – acceptance rates, decline codes, webhook and reconciliation drift – shows what it would cost, then recommends what to fix. It is not orchestration, fraud or processor monitoring, and it never routes or retries the transaction itself.
One model across PSPs, gateways, billing platforms, token vaults and internal ledgers. No more reading four dashboards.
Webhooks, retries, tokens, subscriptions, settlement, refunds, chargebacks, reconciliation, recovery – checked continuously.
Translate technical weaknesses into MRR, ARR and transactional revenue exposure with traceable assumptions.
Safely assess whether failover, retry and recovery paths actually work – not just whether they exist in a runbook.
Read-only connect. Find providers, flows, dependencies and shadow infra.
Build a live graph of how payment revenue moves through the company.
Calculate resilience scores and revenue exposure across the stack.
Rank findings by business and revenue impact, not alert volume.
Safely test whether recovery and failover paths actually work.
Payment-specific recommendations with clear ownership.
Evidence for leadership, customers, auditors and risk reviews.
PayRes is designed to work across the broader payment ecosystem with one normalized view. Available, planned and ecosystem-compatible providers are clearly labeled.
Stripe and Adyen connectivity at launch; additional PSPs and billing platforms via an extensible connector framework. Logos shown describe ecosystem coverage, not partnership or endorsement.
Here's how it relates to the tools around it.
| Category | What it does | What PayRes adds / is |
|---|---|---|
| Payment analytics | Reports what happened to past transactions. | PayRes is payment analytics built for resilience: acceptance rates, decline codes and revenue exposure – plus what to fix next. |
| Payment observability | Generic logs, traces and metrics for engineers. | PayRes is payment-specific observability: revenue-aware dependencies and drift for payment and finance teams. |
| Processor monitoring | One vendor, one dashboard. | Every provider in one normalized graph – not a single-vendor view. |
| Payment orchestration | Routes transactions between PSPs. | Tells you whether that routing is safe and what depends on it. PayRes doesn't route. |
| Fraud tools | Block bad actors and risky transactions. | Protects revenue from infrastructure failure, not fraud – the two are complementary. |
| Compliance automation | Produces audit evidence after the fact. | Continuous payment-specific control posture, not point-in-time evidence. |
We'll connect read-only to a sandbox or staging environment and walk you through a first PayRes Score and revenue-exposure model.