What Can Do Not Pay Do for Your Agency?


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Do Not Pay (DNP) is the no-cost robust analytics tool which helps federal agencies detect and prevent improper payments made to vendors, grantees, loan recipients, and beneficiaries.

Agencies can check multiple data sources in order to make payment eligibility decisions.

About Do Not Pay

Our mission is to protect the integrity of the federal government’s payment processes by helping agencies mitigate and eliminate improper payments in a cost-effective manner while safeguarding the privacy of individuals.

How Does Do Not Pay Work?

Agencies use a secure online interface to check various data sources to verify eligibility of a vendor, grantee, loan recipient, or beneficiary to receive federal payments. To get all the details, watch the short video below.

Note: Payment Integration only checks the Death Master File – Public data source.

Components of DNP

DNP Web-based Portal

The DNP Portal lets you search multiple databases at one time. You can search for a single person or entity. You can batch your searches. You can set up the Portal so it regularly monitors the databases for specific names.

Data Analytics

This feature provides advanced payment analysis services to federal agencies. In partnership with the federal agencies, a variety of data analyses and visualizations can be conducted to help combat improper payments.

Agency Support

Do Not Pay works with agencies to onboard the agency and determine and target the best DNP processes and data sources to meet agencies’ program needs.

Four Times to Use DNP


Before you start to pay, search DNP to make sure it’s okay to pay this person or company.


Check again throughout the time this person or company is getting payments, or set up to monitor their eligibility. You can also research matches.

At Time of Payment

Any funds disbursed by the Department of the Treasury go through Payment Integration, in which the DNP Portal automatically matches all PAM files against the Death Master File. 


Use Data Analytics to see trends, develop predictive models, and develop risk scores unique to your program.