Deal-level fields
Track exit price, multiple, time-to-exit, channel, MRR, ARR, and confidence level for each listed deal when available.
WrapperExits est une base de données des sorties de micro-SaaS d’IA qui indique, lorsque disponibles, le prix de la transaction, le multiple, le délai de sortie et la fiabilité de la source, pour comparer des cas réels sans anecdotes invérifiables.
WrapperExits is a database of AI micro-SaaS exits that records what real deals sold for, including price, multiple, time-to-exit, and channel when those details are available. The homepage shows live counts for exits tracked, exits with a price, exact disclosures, and AI-first deals, along with summary metrics such as median price-to-revenue and median time to exit.
The product is built for readers who want sourced, confidence-rated exit data rather than anecdotal benchmarks. Each deal is linked to a source and labeled with one of four confidence levels, and the database explicitly shows undisclosed values instead of filling gaps with guesses.
Track exit price, multiple, time-to-exit, channel, MRR, ARR, and confidence level for each listed deal when available.
Filter and search the live database of AI micro-SaaS exits to find comparable transactions by category, price, and other listed attributes.
Every entry is tagged as Verified, Marketplace, Self-reported, or Estimated so readers can judge how much trust to place in each number.
The site exposes summary counts such as total deal value tracked, exits tracked, and the share with disclosed pricing, giving a quick read on dataset coverage.
Standard buyers get lifetime web access with sorting, filters, search, sources, and free updates.
Pro buyers can export the dataset as CSV and access it through a JSON API.
Founders can compare their own AI wrapper or micro-SaaS to real exit prices, multiples, and time-to-exit examples before deciding whether to sell or keep building.
Researchers and operators can study how disclosed deals differ by category, channel, and confidence level to understand patterns in the small-acquisition market.
Buyers can search for comparable transactions when evaluating acquisitions, using source links and confidence tags to judge how similar a deal really is.
Indie builders can use the database to anchor valuation expectations around observed exits instead of relying on vague social media anecdotes.
Teams that want to analyze the dataset outside the browser can use Pro’s CSV export or JSON API for spreadsheet or programmatic workflows.
No. The page says you pay once and get lifetime access, including future updates, with no recurring charge.
It is early access and the dataset grows weekly. The page says the live counts above pricing show how many exits currently have a price, and every deal is sourced and confidence-rated.
The dataset is built from acquisition marketplaces, public founder announcements, interviews, and newsletters. Each deal includes a confidence level and a source link.
When a figure is not public, the product shows “undisclosed” or “—” instead of guessing.
Pro includes everything in Standard, plus CSV export and a JSON API for programmatic access.
Les données de trafic sont fournies à titre indicatif uniquement.
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