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See what your software rent actually costs. Live rent chip, credit score, cancel queue, Friday board pack. SaaS Rent Bill watches which business tools you open, then builds a personalized rent bill: what you’re likely paying, what’s shelf-ware, where tools overlap, and what you’d save owning one system instead. How it works 1. Install and set your team size. No signup. 2. Browse normally. A badge counts detected SaaS tools. Optional live chip shows $/yr on SaaS pages. 3. Open the toolbar popup for a quick peek, or the dashboard for charts, credit score, and a Cancel-first queue (Keep / Cut / Snooze). 4. Optional: Ask Claude (via arosplatforms) for a consolidation plan — anonymized tool list only, never browsing history. 5. Friday board pack: a Slack-ready weekly summary. 6. Want a human review? Tap “Get in touch” — it opens arosplatforms.com/saas-rent-bill and emails our team at hello@arosplatforms.com. Privacy • Visit matching and bill math run on your device by default. • Tabs + history are used only to match hostnames against a bundled SaaS catalog. • Nothing is uploaded unless you click Ask Claude (anonymized stack → arosplatforms). • Live chip needs optional site access you can grant or revoke in Settings. Honest limitations Figures are estimates from published pricing × seats — not invoices. Visiting a site is not the same as paying for it. Built by arosplatforms — AI operating systems your business owns. https://arosplatforms.com Privacy policy: https://arosplatforms.com/saas-rent-bill/privacy Free stack audit: https://arosplatforms.com/saas-rent-bill
Jul 27, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.