The agentic payment safety layer for fintech teams and AI builders.
Switchbench helps teams test, govern, and audit AI-generated payment workflows using synthetic transaction scenarios, policy controls, approval gates, and replayable evidence — before changes reach production payment systems.
Why agentic payment safety matters now.
AI coding agents can generate payment-related changes faster than teams can safely validate them. The new bottleneck is no longer code generation — it is governance, evidence, and controlled testing before real money, real customers, or production payment rails are involved.
Did the agent generate a valid payment message or workflow change?
Message structure, required fields, routing assumptions, and business rules are checked against synthetic scenarios before merge or release.
Does the workflow handle declines, timeouts, reversals, duplicates, and approval boundaries?
Negative paths, intermittent failures, duplicate attempts, reversals, and approval exceptions are tested as first-class scenarios.
Did the agent-generated change break an existing payment path?
Regression-test generated changes against reusable synthetic scenario packs before they are merged, approved, or deployed.
Can the change be replayed, inspected, and approved by a human?
Every synthetic request, response, policy decision, timing result, and approval step is captured for review.
Can the evidence be shared with QA, architecture, risk, and compliance teams?
Replayable logs and evidence reports help teams review payment workflow changes without relying on screenshots or ad hoc test notes.
Switchbench is the answer.
Switchbench gives teams and AI agents a controlled synthetic payment environment to test against — before anything reaches production systems, live partners, customers, or real payment rails.
Try it before you trust it.
Pick a synthetic scenario. Run a test. Inspect the decision path. The same controlled endpoints can be used by human engineers, CI pipelines, and AI coding agents.
Humans write. Agents generate. Switchbench validates safely.
One controlled execution environment for three users: human engineers, CI/CD pipelines, and AI coding agents.
Connect your application, workflow, or generated code to Switchbench test endpoints.
Use REST, gRPC, or payment-message-style interfaces for controlled testing. Humans, CI jobs, and AI coding agents can target the same synthetic environment.
Choose a synthetic payment scenario, policy rule, approval path, or edge case.
Model approvals, declines, timeouts, reversals, duplicates, policy violations, approval gates, fraud blocks, and intermittent failures as reusable scenario packs.
Capture every request, response, policy decision, and approval step.
Every scenario outcome is captured for replay, regression testing, human approval, QA review, architecture review, and compliance evidence.
Your integration — or your AI agent's code — runs against controlled synthetic payment behaviour.
Switchbench is not a generic mock server and does not connect to live payment networks. It provides programmable synthetic payment behaviours, edge cases, timing scenarios, policy decisions, and approval workflows so teams can test risky changes safely and repeatedly.
Payment safety simulation for humans, pipelines, and agents.
Approved is the easy case. The hard case is the decline you did not expect, the timeout during an agent-generated change, the duplicate event, the policy violation, or the approval workflow that was skipped. Switchbench helps teams test those paths before production.
Agent-ready test endpoints.
Stable, documented endpoints that AI coding agents and CI pipelines can call directly for synthetic payment workflow tests — no bespoke scaffolding per agent or run.
Programmable payment safety scenarios.
Control approvals, declines, timeouts, reversals, duplicate attempts, fraud blocks, approval gates, policy violations, and intermittent failures as reusable scenario packs.
Payment-message validation.
Inspect message structure, required fields, response semantics, routing assumptions, and integration mappings so agent-generated changes are checked rather than assumed.
Security workflow test doubles.
Test security-sensitive payment workflows with synthetic operations and safe test doubles. Switchbench is for development and validation only, not production cryptography.
CI/CD and agent workflow support.
GitHub Actions and GitLab CI templates, API-triggered test runs, replayable logs, and evidence reports help agent-generated changes pass the same gates as human changes.
Review-ready evidence.
Every scenario run produces a shareable record: request, response, timing, policy decision, approval state, and result — ready for QA, architecture, risk, and compliance review.
What your agents can safely test.
Concrete examples of agent-generated payment work that can be validated against Switchbench before human approval, merge, release, or production change. Human approval remains expected for risky payment changes.
Payment approval handling.
Generate payment approval logic and run it against synthetic approvals, declines, policy failures, and fallback scenarios.
Timeout and reversal behaviour.
Modify timeout handling and validate reversals, retries, duplicate events, and idempotency behaviour.
New outcome handling.
Add handling for new payment outcomes and run regression scenarios over the existing pack to catch breakage.
Payment-message mapping code.
Generate payment-message mapping changes and validate field-level correctness, required data, and transformation logic.
Test cases from requirements.
Build synthetic test cases directly from written requirements and run them against controlled payment safety scenarios.
Evidence for human review.
Produce replayable evidence reports for human review before merge, release, or production change.
Pricing — coming soon.
Early-access customers will get access to agent-ready scenario packs, hosted simulation endpoints, replayable logs, and CI/CD templates. Founder design partners receive a discount on first-year pricing.
Questions your CTO will ask.
Is Switchbench an AI agent?
Can AI coding agents use Switchbench directly?
Does this replace formal certification, partner testing, or production readiness checks?
Is this safe for sensitive payment data?
Is this PCI-DSS compliant?
Does it work with my payment provider, processor, or internal platform?
What outcomes and scenarios do you support?
Can I self-host it?
How do I cancel?
Who is building this?
Switchbench is an independent product by GY Labs. It is not affiliated with, endorsed by, certified by, or sponsored by any card network, payment scheme, issuer, acquirer, processor, HSM vendor, or payment provider. Switchbench uses synthetic data and synthetic scenarios only. It does not process live payments, does not replace formal certification or partner approval processes, and must not be used with real PANs, production cardholder data, production keys, or live payment credentials.
Give your team — and your AI agents — a safe synthetic payment environment to test against.
Join the early-access waitlist. First design partners get access to agent-ready scenario packs, synthetic payment test endpoints, policy controls, CI/CD templates, and replayable evidence reports before general availability. No credit card required to sign up.
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"I built Switchbench because payment teams need a safer way to test agent-generated changes before they reach real money, real customers, or production payment systems. Synthetic scenarios, approval gates, and replayable evidence should be part of every agentic payment workflow."