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Proprietary Financial Dataset Provisioning

Open
Federal

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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This subcontract for the Department of the Treasury focuses on the provisioning of licensed access to high-volume proprietary financial datasets for prime contractors. The scope of work includes the maintenance and delivery of API or database feeds for specific data sources, including FactSet Revere, S&P CUSIP, CRSP, MF Links, and Hedge Fund Research, all delivered via the WRDS platform. To ensure operational security and legal compliance, the contractor must adhere to all data owners' licensing agreements and meet Treasury security standards for cloud data access. The contract is categorized under NAICS code 519290, with a response deadline set for November 30, 2026.

General Info

Subcontract for Treasury providing proprietary financial datasets via WRDS platform through November 2026.

NAICS

519290 - Web Search Portals and All Other Information Services

Place of Performance

80742, DC, USA

Set-Aside

NONE

Documents

This scope was carved out of SS-OFR-27-006.

The full solicitation package (1 document), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

Wharton Research Data Services (WRDS) Renewal

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Organization & Contact Information

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AgencyDepartment Of The Treasury
ContactsNo contacts available
OfficeN/A
Organization / AgencyDepartment Of The Treasury
Office AddressN/A
ContactsNo contact information available

Full Description

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Supplies licensed access to high-volume proprietary financial datasets for prime contractors on Department of the Treasury projects. Provisions and maintains API or database feeds for FactSet Revere, S&P CUSIP, CRSP, MF Links, and Hedge Fund Research. Requires compliance with data owners' licensing agreements and Treasury security standards for cloud data access. Delivers continuous, authenticated access to specified financial datasets via the WRDS platform.

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