PDLScores™ for Person Data

General AvailabilityPDLScores™ for Person Data are now generally available as of the July 2026 Release (v35.0).Early Access customers will retain access to scores and score factors through the rest of their Early Access period.

Overview

PDLScores™ are generated scoring attributes available across PDL datasets. There are two PDLScores™ (with supporting Score Factor objects) available for Person Data:

See the Field Reference below for a complete list of PDLScores™ and their associated Score Factors.

Attribute	Description	Availability
`profile_score`	A bucketed signal indicating whether a profile appears to represent a real person	Person Base and M&A bundles
`profile_score_factors`	A set of supporting signals used to generate `profile_score`	PDL Score Factors bundle
`activity_score`	A bucketed signal indicating whether a profile appears to be actively maintained	Person Base and M&A bundles
`activity_score_factors`	A set of supporting signals used to generate `activity_score`	PDL Score Factors bundle

Use scores when you want ready-to-use profile quality or activity signals. Use score factors when you want more transparency into the signals behind a score or want to build custom logic. For field descriptions, value details, and examples, see the PDLScores™ section in the Person Schema.

Availability

The profile_score and activity_score fields are included in Person Base and M&A bundles. The profile_score_factors and activity_score_factors objects are available through the premium PDL Score Factors bundle. This premium add-on bundle includes only the score factors, not the score fields themselves.

Resume Slice OnlyPDLScores™ and their associated score factors are only available on records in the Resume Slice of the Person dataset. Profiles outside the Resume Slice return null for these fields.

Common Workflows

Customers can use PDL Person Scores to:

Filter or suppress low-signal profiles before ingestion
Rank higher-confidence profiles first in search or matching workflows
Route negative-signal profiles to manual review
Improve entity resolution by using profile_score and activity_score as tiebreakers
Prioritize outreach toward profiles that appear more active
Reduce storage, compute, and maintenance costs associated with low-quality records

Example Response

JSON

{
  "profile_score": "positive signals",
  "profile_score_factors": {
    "attribute_fill_rate": 0.625,
    "profile_age_months": 110,
    "has_valid_url": 1,
    "meets_connection_threshold": 1
  },
  "activity_score": "neutral signals",
  "activity_score_factors": {
    "connection_change": 0.5,
    "profile_change": 1,
    "months_since_last_end_resume": 0
  }
}

Field Reference

Field	Type	Short Description
`profile_score`	`String`	A PDL-generated signal indicating how likely a profile is to represent a real person
`profile_score_factors`	`Object`	Supporting factors used to generate `profile_score`
`profile_score_factors.attribute_fill_rate`	`Float`	The share of selected resume attributes present on the profile
`profile_score_factors.profile_age_months`	`Integer`	The age of the profile in months, based on PDL’s first observation of the trusted LinkedIn profile
`profile_score_factors.has_valid_url`	`Float`	A signal indicating whether the profile has a valid LinkedIn URL
`profile_score_factors.meets_connection_threshold`	`Integer`	A signal indicating whether the profile meets PDL’s LinkedIn connection threshold
`activity_score`	`String`	A PDL-generated signal indicating how likely a profile is to be actively maintained
`activity_score_factors`	`Object`	Supporting factors used to generate `activity_score`
`activity_score_factors.connection_change`	`Float`	A signal indicating whether PDL has observed changes in the profile’s LinkedIn connection count
`activity_score_factors.profile_change`	`Integer`	A signal indicating whether PDL has observed user-edited profile changes recently
`activity_score_factors.months_since_last_end_resume`	`Integer`	The number of months since the profile’s latest resume end date, when no active experience or education is present

General

API Overview

Person Data

Person APIs

Company Data

Company APIs

IP Data

IP API

Job Posting Data

Job Posting API

Supporting APIs

Data Standardization

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Libraries

Integrations

Resources

Data License

Support

Overview

Availability

Common Workflows

Example Response

Field Reference

​Overview

​Availability

​Common Workflows

​Example Response

​Field Reference

Overview

Availability

Common Workflows

Example Response

Field Reference