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- Test a recurring buy and the next run date it sets
Test a recurring buy and the next run date it sets
A schedule is a promise about a future date. Four steps check the cadence, the date and the rule that persists.
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A recurring buy is a standing instruction to spend money on a schedule. Nobody checks it after the day they set it up, which makes the moment of creation the only opportunity to confirm it is right.
This use case schedules a weekly buy on the Coinbaze clone and checks the rule it creates.
The checks that matter
The cadence, the date and the amount all have to be correct, and a customer will only discover a mistake by seeing a charge they did not expect.
- The cadence - every week, selected explicitly rather than left on a default.
- The next run date - shown before the rule is created, so the customer knows when the first charge lands.
- The amount and asset - fifty dollars of ETH, restated in the saved rule.
- The active state - the rule appears in a list of recurring buys with an active status.
The next run date is asserted twice, once as a preview badge and once on the confirmation. A date that changes between the preview and the saved rule is a defect the customer will only notice as an early charge.
Note: Asserting a scheduled date at the point of preview and again after saving is a cheap way to cover a promise nobody revisits. Start on TestMu AI. Start for free
The flow as a test file
The frequency is selected before the card is entered, because the cadence determines the next run date the customer is agreeing to when they submit.
---
mode: testing
url: https://my-testing-repo-main.vercel.app/coinbase-clone-app/buy?reset=true
max_steps: 45
tags: [coinbase, fintech, crypto]
---
# Coinbaze 18.2: Recurring buy
Catalog objective: schedule a weekly buy and verify the next run date.
Key assertion: the recurring rule is active with the correct cadence.
## Set the order up
Select "ETH" in "Asset", type "50" into "Amount in USD", and choose "Recurring buy".
## Choose the cadence
Select "Every week" in "Frequency" and verify a badge reads "Next run: 2026-09-22".
## Schedule it
Type "4242 4242 4242 4242" into "Card number" and click the schedule button.
## Verify the rule is active with the right cadence
Verify a green banner titled "Recurring buy scheduled" names a next run of "2026-09-22", and the "Recurring buys (1)" card lists "$50.00 of ETH · Every week" with an active status.The saved rule is asserted by its full description, amount, asset and cadence together, so a rule that persists the amount but loses the frequency fails.
Step by step coverage
A setup, a preview, a submission and a persisted record.
| Step | What it proves |
|---|---|
| Set the order up | Asset, amount and the recurring option can be chosen |
| Choose the cadence | A weekly frequency produces a visible next run date |
| Schedule it | The card is accepted and the schedule submitted |
| Verify the rule is active with the right cadence | The next run date holds and the rule is listed as active |
The count in the recurring buys heading is asserted as part of that final check, which is a cheap way to prove exactly one rule was created rather than none or two.
Adding it to a suite
kane-cli testmd run tests/coinbase/recurring-buy_test.mdAdd a variant that cancels the rule, since a recurring charge a customer cannot stop is a materially worse defect than one that never starts.
Scheduled operations are hard to observe and easy to get wrong. Running flows asynchronously covers unattended checks, and the Kane CLI introduction covers getting the first one running.
Author
Bhawana is a Community Evangelist at TestMu AI with over 3 years of experience creating technically accurate, strategy-driven content in software testing. She has authored 50+ blogs on test automation, cross-browser testing, mobile testing, and real device testing. She also serves as Product Marketing Manager for Kane CLI, the command-line tool that runs browser automation from the terminal using natural-language flows in a real Chrome browser. Bhawana is certified in KaneAI, Selenium, Appium, Playwright, and Cypress, reflecting her hands-on knowledge of modern automation practices. On LinkedIn, she is followed by 6000+ QA engineers, testers, AI automation testers, and tech leaders.
Recurring Buy FAQs
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