Cancel Check: recorded walk-through of your cancel flow under NYC's new rule

I found no product that does what Cancel Check proposes: automatically run a business's real signup and cancel flows, count the steps, screens and contacts on each, and produce a side-by-side evidence PDF tied to the NYC rule (6 RCNY 5-110). That rule took effect October 1, 2026, with penalties of $525, $1,050 and $3,500 per violation. DCWP has already sent letters to 187 NYC gyms under Executive Order 10, so boutique gyms and studios have a clear, urgent reason to buy. The retention vendors (Churnkey, Paddle, FlyCode) make compliance a setting inside their own flows and assume the merchant is a SaaS on Stripe. They don't help a Mindbody or Glofox studio, or a Shopify subscription store, show that cancelling is as easy as signing up. The closest thing to the audit format is an EU-only Apify actor with almost no users. The main risks are elsewhere. First, the gym and studio platforms can make the problem go away by adding compliant online cancellation, so the report's value depends on the gap before they do. Second, small owners pay for $49 one-off checks rarely. You will probably need to sell through lawyers, trade groups or the platforms themselves. Third, an agent has to complete a real signup, so payment and test accounts are an operational problem. The Stripe SaaS monitor idea is weaker. QA.tech already runs cancel-flow regression checks on every deploy with AI agents, and Churnkey or Paddle users are compliant by default. It would only win as a cheap, narrow add-on that tracks a step-count trend. One unverified lead: a search returned an Indie Hackers URL, indiehackers.com/JWhiteCancelCheck. The name suggests someone may be building something called Cancel Check, but I couldn't see what it contains. Check it directly before you commit to the name or the idea.

• Churnkey (Click-to-Cancel mode)

  Churnkey sells embedded cancel flows to SaaS on Stripe. It has a single-click compliance toggle that covers New York, California, the EU and the FTC, and it picks the rule set from the user's location. It fixes flows built in its own tool but doesn't audit or record an existing signup and cancel path. It's still the most obvious alternative for Stripe-billing founders.

• Paddle Retain cancellation flows

  Paddle's billing tool adds a cancel link to every screen of the retention flow in one-click regions. Like Churnkey, it makes flows compliant by design rather than producing evidence.

• FlyCode subscription compliance

  A Stripe-focused retention and recovery vendor with compliance help content. Its suggested way to check a cancel flow is a manual hallway test where a new team member tries to cancel in two clicks. It shows the need is real and that no automated check exists there.

• QA.tech subscription and billing testing

  An AI agent QA platform that runs cancel and reactivate flows before billing-related deploys to catch regressions. It's the closest match to the per-deploy monitor idea. Its framing is functional QA, not counting steps or comparing against signup for compliance.

• EU Withdrawal Button Compliance Auditor (Apify actor by Trove Vault)

  A browser-based auditor that visits withdrawal and cancellation pages, returns findings with evidence, and says it is not legal advice. It's the same evidence-not-advice idea, but for the EU 2023/2673 directive. The listing shows almost no users.

• Chargebee Click-to-Cancel Compliance Hub

  A free manual audit checklist and cancel-flow maturity model from a billing vendor. It's content, not a tool, and it already mentions the NYC October 1, 2026 effective date.

• Gymdesk click-to-cancel gym guide

  A gym software vendor's guide to the NYC rule and New York State gym cancellation law. Gym management platforms like this one, and probably Mindbody and Glofox, could ship online-cancel features that make an outside audit less necessary for their customers.

• Dark Pattern Detector Chrome extension

  A consumer extension that flags forced-continuity patterns. It's tiny, with about 5 users, and isn't aimed at businesses.

• LLM-driven dark pattern audit agent (PoPETs 2026 research)

  Academic work showing that an LLM agent can walk through rights-request workflows end to end, collect structured evidence and classify dark patterns. It confirms the approach works technically, and it lists where such agents fail. It's research, not a product.

Checked 2026-10-12