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WrapperExits

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WrapperExits is a database of AI micro-SaaS exits with deal price, multiple, time to exit, and source confidence when available.

WrapperExits

AI micro-SaaS exit database

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.

What the database includes

Deal-level fields

Track exit price, multiple, time-to-exit, channel, MRR, ARR, and confidence level for each listed deal when available.

Search and filtering

Filter and search the live database of AI micro-SaaS exits to find comparable transactions by category, price, and other listed attributes.

Confidence-rated sourcing

Every entry is tagged as Verified, Marketplace, Self-reported, or Estimated so readers can judge how much trust to place in each number.

Coverage summary

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.

Lifetime access to updates

Standard buyers get lifetime web access with sorting, filters, search, sources, and free updates.

Programmatic access

Pro buyers can export the dataset as CSV and access it through a JSON API.

How people can use it

  • Exit benchmarking

    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.

  • Market research

    Researchers and operators can study how disclosed deals differ by category, channel, and confidence level to understand patterns in the small-acquisition market.

  • Deal sourcing and diligence

    Buyers can search for comparable transactions when evaluating acquisitions, using source links and confidence tags to judge how similar a deal really is.

  • Valuation reference

    Indie builders can use the database to anchor valuation expectations around observed exits instead of relying on vague social media anecdotes.

  • Data export and analysis

    Teams that want to analyze the dataset outside the browser can use Pro’s CSV export or JSON API for spreadsheet or programmatic workflows.

Pros and Cons

Pros

  • Tracks real exits rather than generic market commentary, with deal-level fields like price, multiple, and time to exit.
  • Uses explicit confidence labels and source links, which helps users separate verified figures from softer signals.
  • Shows undisclosed values as undisclosed instead of guessing, which reduces the risk of false precision.
  • Includes lifetime web access and free updates on Standard, with CSV export and JSON API access on Pro.

Cons

  • Pricing details on the site are limited to a one-time purchase model; there is no public pricing page with deeper plan documentation.
  • The database is still in early access, so coverage is growing weekly and not every deal has a disclosed price.
  • Some entries rely on self-reported or estimated data, which may require extra judgment when comparing deals.

FAQ

Is this a subscription?

No. The page says you pay once and get lifetime access, including future updates, with no recurring charge.

How complete is the dataset?

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.

Where does the data come from?

The dataset is built from acquisition marketplaces, public founder announcements, interviews, and newsletters. Each deal includes a confidence level and a source link.

What happens if a figure is not disclosed?

When a figure is not public, the product shows “undisclosed” or “—” instead of guessing.

What do I get with Pro?

Pro includes everything in Standard, plus CSV export and a JSON API for programmatic access.

Quick Facts

Category
Market research
Primary use
AI micro-SaaS exit benchmarking
Access model
One-time payment, lifetime access
Source domain
wrapperexits.com
Data freshness
New exits added weekly
Pro export
CSV and JSON API