Model the full financial impact of your payment infrastructure:
authorization rates, processing costs, compliance burden, and
engineering effort. Built for US payment teams.
Observed range across 600M+ monthly transactions through our
orchestration product
Card mix & rates
Credit card mix 60%
Rates are illustrative, adjusted for volume tiers. Your actual
rates may vary based on card mix, MCC, and acquirer.
Checkout & downtime
Have you experienced PSP downtime?
PCI compliance
PCI approach
Routes acrossStripe·Adyen·Fiserv·Global Payments·Worldpay·Braintree·Checkout.com+ 300 moreRead more ↗
Line-by-line cost comparison · Annual
Each row shows what you spend today vs what you'd spend with
Hyperswitch. Current Setup uses your slider inputs.
With Hyperswitch shows the cost after routing optimisation,
failover, and pre-built connector savings are applied. The delta between
the two columns is your recoverable opportunity.
Line Item
Current Setup
With Hyperswitch
Ready to optimize your payment stack?
Connect 300+ PSPs via one API. Open source · PCI DSS 4.0 ·
99.999% uptime.
Savings vary by GMV, card mix, and current auth rate. The three
main levers are auth rate improvement from success-based routing
and soft-decline retry, processing cost reduction through
least-cost routing and BIN-level PSP selection, and engineering
time freed from maintaining direct integrations. Adjust the
sliders above to model your specific scenario.
ROI comes from recovered revenue on failed transactions, lower
per-transaction fees from routing competition, and reduced
engineering overhead. Use the GMV, auth rate, and card mix
sliders to see a modelled ROI for your transaction profile.
Least-cost routing selects the PSP or acquirer with the lowest
effective fee per transaction, based on card BIN, card type,
amount, and currency. Small per-transaction savings scale
significantly at volume. Set your GMV and card mix in this
calculator to see the estimated annual fee reduction.
PSP downtime causes failed transactions that are rarely
recovered without automatic failover. The revenue impact depends
on your GMV, transaction frequency, and how long outages last.
Select your downtime experience level above to see the estimated
annual revenue at risk for your volume.
Hyperswitch has pre-built connectors to 300+ PSPs including
Stripe, Adyen, Fiserv, Global Payments, Worldpay, Braintree,
Checkout.com, Nuvei, and others. See the full list at hyperswitch.io/integrations.
Frequently asked questions
Cost depends on deployment model. SaaS involves a
per-transaction orchestration fee with lower engineering
overhead. Self-hosting replaces that fee with cloud
infrastructure, PCI compliance, and engineering costs. Building
in-house carries the highest engineering and compliance burden.
Use the GMV slider and PCI toggle above to compare total annual
costs across all three models.
The crossover depends on transaction volume and average
transaction value. At higher GMV, the SaaS orchestration fee
grows while self-hosting costs remain relatively fixed. Adjust
the GMV slider on this tab to find the point where self-hosting
becomes the lower-cost option for your setup.
Self-hosting requires dedicated engineers across development,
infrastructure, and product to deploy, operate, and maintain the
orchestration layer. The engineering cost card in the
self-hosting column above shows the annual headcount cost for
your team profile at your chosen GMV.
Building in-house covers engineering across developer,
infrastructure, and product roles, PCI DSS compliance via QSA
audit or card vault, and cloud infrastructure. Ongoing connector
updates, scheme mandates, and retry logic add recurring costs.
The Build In-house column above models the full annual TCO for
your GMV and PCI approach.
SaaS is fastest to deploy with the lowest engineering overhead.
Self-hosting suits teams that want full control over routing
logic, data residency, and compliance scope at scale. Building
in-house is rarely cost-effective against a modern orchestration
platform. Use the qualifying criteria toggles above to get a
recommendation based on your setup.
