Renewals, expirations, scheduled features, and the code that powers them — checked from one agent.
Run checks against renewal, expiration, and unlock scenarios before your users hit them. Describe the behavior, get evidence back.
Catch subscription and trial bugs before they become chargeback emails. Verify renewal emails, proration, and cancellation flows at the right dates.
Validate that sessions, tokens, and feature gates expire exactly when they should — and that renewal paths work the moment they're supposed to.
Test promo windows, scheduled releases, and time-gated content unlocks so nothing ships early, late, or broken.
Every run returns screenshots, DOM snapshots, console and network logs, and traces — so a failed future-date check is debuggable in minutes, not days.
TimetoTest reviews pull requests for date-handling risks — timezone math, expiry comparisons, and edge cases — before they merge.
No clock mocking. No date-patching infrastructure. Just describe, run, and review.
Write the behavior you expect on a specific date — a renewal, an expiry, a feature unlock — in plain English.
The agent executes the browser journey at that date context, plus any API calls involved, and collects evidence at every step.
Open screenshots, DOM snapshots, console and network logs, and traces to confirm the behavior is correct — or find exactly where it breaks.
Turn the check into a recurring regression so date-based bugs are caught the day they'd appear, not the week after.
Forward date testing (also called time travel testing) is testing how your product behaves on future dates — for example, a subscription renewing, a trial expiring, a token expiring, or a time-gated feature unlocking. It catches date-related bugs before real users experience them.
You describe the future-dated behavior you want to check in plain English — the agent runs the browser journey at that date context, verifies the expected outcome, and returns evidence: screenshots, DOM, console and network logs, and traces.
No. With TimetoTest you describe the scenario and the expected outcome. The agent handles the date context and proves the behavior with evidence, so you don't maintain clock-mocking infrastructure.
Fintech, SaaS subscription products, marketplaces, and any product with time-based logic — renewals, trials, expirations, promo windows, or scheduling features. If a bug only shows up next month, you want to find it now.