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Welcome to our June 2026 release notes! School may be out for summer, but we still have some fun updates packed into this month’s release. Check them out: Dive into the full details below, or jump to what interests you using the table of contents below.

📐 Schema Changes

PDLScores™ (Person)

Early AccessWith this month’s release, PDLScores™ are now available to select Early Access customers.
What’s New
This month, we are releasing PDLScores™ into Early Access!
This initial release introduces two scores for Person Data:
  • Profile Score: A bucketed signal indicating whether a profile appears to represent a real person
  • Activity Score: A bucketed signal indicating whether a profile appears to be actively maintained
Supporting Score Factor objects are also included providing additional transparency into the signals behind each score. For field-level details, examples, and additional guidance, please see the PDLScores documentation. Availability During Early Access, PDLScores™ are only available to an invited group of Early Access customers. General Availability is scheduled for the July 2026 (v35.0) release. If you’re interested in learning more, please reach out to your PDL account team.

🚀 Data Updates

Freshness

The number of jobs and locations verified in our datasets (based on the job_last_verified and location_last_updated fields). Monthly (v34.1 → v34.2)
Freshness updates over the past month.

Job Changes

The number of person records where the primary job experience changed in our Person Dataset (based on the job_last_changed field). Monthly (v34.1 → v34.2)
Job changes detected over the past month.

🌐 Coverage

Monthly (v34.1 → v34.2)

Resume Dataset API Dataset Email Dataset Mobile Phone Dataset Company Dataset Job Posting Dataset

Commentary

  • Person Data
    • We saw an 11% increase in coverage of github-related data in our resume dataset this month.
    • We saw substantial increases in our coverage of phones (7%) and mobile phones (6%) this month across our resume dataset

🛠 Improvements and Bug Fixes

Bug Fixes

  • Added Schools to Company Dataset
    • We fixed an issue where schools were being excluded from our Company dataset.
    • This fix allows profiles in our Person dataset to accurately represent work experience associated with an academic institution