Cleanlist is our go-to arm for finding mobile numbers on small-business decision makers across Western Canada, a segment most data vendors cover poorly. In our head-to-head on the same residue list it found direct lines on roughly 73% of named contacts versus 27% for the next-best tool, at about 10 credits per found number. Pricing is success-only: a miss costs nothing, and the estimate cost call tells us the bill before we commit a batch, so a bulk run never surprises us. The two features that changed our workflow are the API and the MCP connector. We build lead lists by cohort, enrich them, then pull the results straight into our pipeline with a list read-back endpoint, so there is no CSV hand-off and no copy-paste. The MCP connector lets our Claude Code agent run the search and enrichment steps directly from our enrichment scripts, with cost estimates and confirmation prompts built in. The newer people search is a genuine bonus: it runs on a different index than the Apollo-derived data most tools resell, returns unmasked person location for free, and so doubles as a geography pre-screen before we spend credits anywhere. Onboarding was fast. Their team answered our questions about the search API directly and shipped the feature we asked about. The UI is clean and the lists view makes it easy to see what has been enriched and what is still open.

The interface is good so far. I was able to navigate it as a beginner. Performance is also good, as it gives me what I need. With regards to pricing, I think it's fair enough, but it can be lower knowing that you will lose credits every search and move you take. AI is a good help as well, but will sure take a lot of credits from your end.

It's very good at enriching existing leads, and searching for new ones. Plus, it's easy to use and fast. The API is useful and it's great value for money.