Single-processor concentration
84% of recurring revenue depends on one processor and one token vault, with no validated migration path.
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
Observability shows what happened. Processor dashboards show one provider.
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.
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 not analytics, observability, orchestration, fraud or processor monitoring. It is the resilience layer above them — focused on what could break and what it would cost.
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.
| Category | What it does | What PayRes adds |
|---|---|---|
| Payment analytics | Tells you what happened to past transactions. | Tells you what could break and what it would cost. |
| Processor monitoring | One vendor, one view. | Every vendor, one normalized graph. |
| Generic observability | Logs, traces, metrics for engineers. | Revenue-aware dependencies for payment leaders. |
| Compliance automation | Evidence for audits after the fact. | Continuous payment-specific control posture. |
| Payment orchestration | Routes transactions between PSPs. | Tells you whether routing is safe — and what depends on it. |
We'll connect read-only to a sandbox or staging environment and walk you through a first PayRes Score and revenue-exposure model.