FOIA Responses
Government agencies spend millions processing FOIA requests -- the responses are public record but nobody aggregates them.
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Find Me This Data →Overview
What Is FOIA Responses Data?
FOIA responses are public records generated when government agencies process Freedom of Information Act requests from journalists, researchers, businesses, and citizens. Each response contains metadata about the request (submission date, requester type, subject matter, processing time) and disposition (approved, denied, partially released). The FDIC alone processed 1,613 FOIA requests in fiscal year 2025, spending approximately $5.8 million on administration and litigation. These datasets are valuable for researchers studying government transparency, journalists tracking agency activity, compliance teams monitoring investigations, and organizations analyzing regulatory trends. Currently, FOIA logs are scattered across hundreds of agency websites with no unified aggregation, making them difficult to discover and analyze systematically.
Market Data
1,613 requests
FDIC FOIA Requests Processed (FY 2025)
Source: FDIC Annual FOIA Report
$5.8 million total ($3.7M processing + $2.1M litigation)
FDIC FOIA Administration Costs (FY 2025)
Source: FDIC Annual FOIA Report
22 full-time equivalent employees
FDIC FOIA Staff
Source: FDIC Annual FOIA Report
15.49 days median; 1 day average
FDIC Average Processing Time
Source: FDIC Annual FOIA Report
110 granted vs. 7 denied
FDIC Approval Rate
Source: FDIC Annual FOIA Report
Who Uses This Data
What AI models do with it.do with it.
Investigative Journalists
Track regulatory investigations and agency actions related to public companies, financial institutions, and government conduct. News media requesters query specific organizations to uncover disclosure violations or enforcement patterns.
Compliance & Legal Teams
Monitor investigations targeting their firms or competitors. Commercial organizations request records on specific entities (e.g., Rekor Systems, Mersana Therapeutics) to understand regulatory scrutiny and disclosure requirements.
Transparency & Policy Researchers
Analyze aggregate FOIA processing patterns, backlogs, exemption usage, and agency resource allocation to assess government openness and identify systemic delays or denials.
Government Agencies
Benchmark FOIA administration performance against peers, identify training and technology gaps, and evaluate progress on backlog reduction initiatives.
What Can You Earn?
What it's worth.worth.
Small Dataset (single agency, 1 month)
Varies
Depends on buyer need (researcher license vs. commercial analysis platform). Government agencies typically pay for aggregation and metadata standardization.
Medium Dataset (multi-agency, 1 year)
Varies
Legal research platforms, compliance vendors, and journalism organizations pay premiums for standardized, searchable FOIA logs with OCR and structured metadata.
Enterprise/Ongoing Feed
Varies
Real-time or weekly FOIA log feeds with automated extraction, validation, and alerting command premium pricing from large law firms, institutional investors, and regulatory intelligence platforms.
What Buyers Expect
What makes it valuable.valuable.
Completeness & Authority
Logs must be extracted directly from official agency sources (SEC.gov, FDIC.gov, DOL.gov, etc.). Buyers verify data against primary agency FOIA reports and annual filings.
Structured Metadata
Standardized fields: request ID, submission date, requester type, subject matter, disposition, processing days, exemptions cited. Inconsistent agency formats must be reconciled.
Regular Updates
Monthly or quarterly refreshes to reflect new requests and closures. Backlogs grow constantly; stale data loses value for journalists and compliance teams tracking current activity.
Privacy & Redaction
Requesters' names, email addresses, and sensitive information must be redacted or excluded. FOIA logs often contain PII; buyers expect compliance with privacy best practices.
Companies Active Here
Who's buying.buying.
Integrate FOIA logs into compliance monitoring and litigation research tools. Track investigations targeting specific companies, executives, or regulatory trends.
Query FOIA logs for story leads, track government investigations of public figures and institutions, and verify agency responsiveness to press inquiries.
Analyze aggregate FOIA statistics to assess agency openness, identify systematic delays or denials, and support advocacy for FOIA reform.
FAQ
Common questions.questions.
What exactly is a FOIA response dataset?
A FOIA response dataset is a collection of metadata from government FOIA logs—records documenting when agencies received requests, from whom, about what, and how they were processed. Each log entry includes the request ID, submission date, requester type (journalist, business, researcher), subject matter, disposition (granted, denied, partial), and processing timeline. Aggregating these across agencies reveals patterns in government transparency and regulatory activity.
How much data is available?
Substantial. The FDIC alone processed 1,613 FOIA requests in FY 2025, and every federal agency maintains public FOIA logs. The SEC publishes monthly logs with hundreds of entries. Collectively, tens of thousands of FOIA request records are generated annually across agencies—but they are currently scattered and not systematized.
Who are the biggest buyers of FOIA data?
Legal research platforms (e.g., compliance vendors), law firms conducting due diligence, news organizations investigating government and corporate conduct, and transparency advocacy groups studying FOIA administration. Commercial requesters query logs for competitive intelligence on regulatory investigations into specific companies.
What is the earning potential?
Varies significantly. Small, one-time datasets may fetch modest fees, but ongoing aggregation and standardization of multi-agency FOIA logs command premium pricing—especially from legal intelligence platforms, law firms, and institutional investors. Real-time feeds with automated alerts and structured metadata generate recurring revenue.
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