Federal Register Regulatory Change Intelligence Monitor

Monitor Federal Register topics as a recurring regulatory intelligence workflow. The Actor queries the official FederalRegister.gov API, keeps bounded state between runs when enabled, detects newly observed or materially updated documents, and returns one structured monitoring report per watch term. It is designed for compliance, legal operations, government affairs, procurement, policy research, and strategy teams that need to know what changed rather than repeatedly export raw search results.

Why use this Actor

A conventional Federal Register scraper answers “what documents exist?” This Actor is built around a different operational question: “what changed since the last check, and which changes deserve attention first?” Persistent state converts repeated runs into a monitoring workflow. Each report includes counts, change status, newly detected documents, updated documents, source links, agencies, publication dates, abstracts, and a deterministic materiality score. The materiality heuristic uses document type and explicit language such as effective dates, deadlines, compliance requirements, penalties, final rules, and requests for comment. It is a triage tool, not legal advice.

Key features

• Persistent run-to-run state for new and updated document detection.
• Official FederalRegister.gov API source with no browser automation.
• One decision-ready report per monitored term rather than one paid row per source document.
• Optional agency-name filtering after retrieval.
• Materiality ranking for current and changed documents.
• Bounded lookback, document limits, and state size for predictable execution.
• Structured errors instead of silent partial failures.
• No external LLM or paid third-party data dependency.

Input

Provide terms as the watchlist. Optional agencyFilters narrow results by agency-name fragments. lookbackDays controls the historical search window, maxDocumentsPerWatch bounds inspected documents, persistState enables change detection across runs, and includeUnchanged optionally returns a compact sample of current unchanged documents. A useful production pattern is one Task per regulatory territory with scheduled execution.

Output

Each dataset item is a monitoring report for one term. Core fields include status, matchedDocuments, sourceReportedCount, changeCount, newCount, updatedCount, changes, and highestMateriality. INITIALIZED means the watch has no previous state, CHANGED means new or updated documents were detected, and NO_CHANGE means the current fingerprints match the prior run for the retrieved set.

Example

Input: {"terms":["artificial intelligence"],"lookbackDays":30,"persistState":true}. The first run establishes state and returns INITIALIZED. Later runs compare document fingerprints and surface new or updated Federal Register records with agency, publication date, links, abstract, and materiality score.

Use cases

Use it for AI regulation, cybersecurity rules, privacy policy, banking regulation, healthcare regulation, environmental policy, labor rules, federal procurement, energy regulation, digital assets, or any other recurring Federal Register topic. Teams can schedule Tasks, feed structured reports into databases, send alerts from downstream automation, or use the dataset as a machine-readable regulatory watch surface.

Pricing

Pay per event. One primary event is charged for each decision-ready watch report written to the default dataset. There is no separate start fee in the QuanMatrix pricing design. The product is intentionally report-priced rather than raw-document-priced so repeated monitoring remains understandable and aligned with the output users actually consume.

Limitations

The materiality score is a deterministic triage heuristic and does not replace legal review. Federal Register API availability, search behavior, and metadata determine what can be detected. Agency filters are applied to the retrieved result set, so very broad terms combined with narrow agencies can require a larger document limit. A document disappearing outside the configured lookback window is not treated as a regulatory withdrawal. Persistent state is bounded and intended for recurring operational watchlists, not permanent archival storage.