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This Government Contract opportunity from Connecticut was posted on June 5, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

Reporting & Data Export Solutions (API/CSV)

Closed
State & Local

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The City of Waterbury is seeking a subcontractor to develop automated reporting and data export tools for ERCOT market data, focusing on API and CSV outputs to streamline data accessibility and usability. The work includes designing, building, and implementing solutions that handle data scheduling, formatting, and comprehensive audit logging to ensure accuracy, traceability, and compliance. The tools must be robust enough to support consistent, reliable extraction and delivery of market data in standardized formats while maintaining detailed records of all system interactions for auditing purposes. This subcontract opportunity is posted with a response deadline of June 24, 2026, and falls under NAICS code 541511, indicating it is within the category of custom computer programming services. The contract is not subject to a specific set-aside designation, and performance is expected to align with the agency’s operational needs in Connecticut. Prospective bidders must be prepared to deliver a solution that integrates seamlessly with existing systems and meets the technical requirements for automation, scalability, and reliability without reliance on manual intervention. All deliverables must be fully documented and support ongoing maintenance and reporting integrity.

General Info

Develop automated API and CSV tools for ERCOT data with audit logging, integration, and reliability for Waterbury, CT.

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Timeline

PhaseClosed
Posted

subcontract

Response Deadline

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Submission Closed

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Organization & Contact Information

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AgencyConnecticut → City of Waterbury
ContactsNo contacts available
OfficeN/A
Office AddressN/A
ContactsNo contact information available

Full Description

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Development of automated reporting and data export tools (API and CSV) for ERCOT market data, including scheduling, formatting, and audit logging.

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Miguel
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Keith Deutsch
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