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Similarity scoring is now available with our Reverse Email Lookup Endpoint

This week over at Proxycurl, we added a highly-requested parameter and we're giving away free credits! Read on to find out more.

New similarity_score for Reverse Email Lookup Endpoint

We added similarity_score to the Reverse Email Lookup Endpoint.

It works the same as the similarity_score parameter of our Person Lookup Endpoint, and scores between 0 to 1 (low to high similarity) will be given to quantify the resemblance between queried and retrieved profiles. For example, 0.78.

Instead of false positives being removed entirely, you can now decide what to do with the returned profiles based on the similarity_score.

Share your experience and get Free Credits

Over the course of building Proxycurl, we have heard many great experiences from our customers firsthand. We thought, why not let more developers know of this goodness?

We're thrilled to give out 500 free credits in exchange for a quick tweet from you about your positive Proxycurl experience. Feel free to share how Proxycurl has benefited your applications and businesses, and how you've enjoyed using our products.

Here's how it works:

  1. Tweet about your positive Proxycurl experience
  2. Email us at [email protected] with the link to your tweet
  3. 500 credits added to you!

Happy Proxycurl-ing!


P.S. If you’re interested in the story of how Proxycurl is growing behind the scenes, our recent blog post about how we used our own product and cold email to scale past $100K MRR may interest you.

Joseph Lim | Head of Marketing
Joseph is a Swiss Army knife-level marketer with almost a decade of experience. He boasts domain knowledge in a huge range of fields, with deep expertise in SEO. He also has a keen mind with data.

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