@pipeworx/federal-register

Connect: https://gateway.pipeworx.io/federal-register/mcp · Install: one-click buttons

Tools: 3

The Federal Register is the official daily publication of US federal proposed rules, final rules, notices, executive orders, and presidential documents. Every regulatory action — proposed and adopted — flows through it. Free, no auth, full-text searchable.

Why this matters for AI agents

For regulatory landscape mapping, agents need to answer questions like “what rules are pending that affect industry X?” or “did the EPA finalize the proposed standard?” Federal Register is the canonical source. The data is structured by agency, document type, comment period, effective date.

Common flows:

  • Search. search_documents({query: "EV charging tax credit"}) → matching documents.
  • Specific document. get_document({number: "2024-12345"}) → full record including PDF link and comment-period status.
  • By agency. Filter to documents from EPA, SEC, NHTSA, etc.
  • Comment-period status. Find rules currently open for public comment.

Used by the regulatory_landscape, lobbying_activity, and environmental_risk recipes.

Auth

None. Federal Register API is fully public.

Document types

TypeMeaning
Proposed ruleDraft rule open for public comment. The actionable category for “what’s coming.”
Final ruleAdopted rule with effective date. The “what was decided.”
NoticeNon-rulemaking action (meetings, inventory adjustments, FOIA notices, etc.)
Presidential documentExecutive orders, proclamations
Rule withdrawn / Notice of correctionEdit history on prior actions

For agent-driven regulatory monitoring, the proposed-rule category is highest signal.

Comment periods

Proposed rules have a public comment window (typically 30–60 days). The comments_close_on field tells you when. Companies that want to influence a rule submit comments via Regulations.gov before that date.

Common pitfalls

  • CFR citations. Proposed and final rules amend the Code of Federal Regulations (e.g., “40 CFR 80.40”). The Federal Register record has the action; the CFR has the resulting text. For “what does the rule actually require,” follow the CFR citation.
  • Withdrawal + republish. Agencies sometimes withdraw a proposed rule and republish a substantially-identical version with minor changes. Track the withdrawal note to avoid double-counting.
  • Significant vs non-significant. Rules tagged “significant regulatory action” go through OMB review. “Non-significant” rules don’t. The classification doesn’t always match impact — search for substance, not status.
  • NAICS-level relevance. Proposed rules often reference industry codes. To find rules affecting a specific industry, search NAICS code as part of the query, not just keywords.
  • Lag. Documents publish on weekdays around 9 AM Eastern. Federal Register’s API surfaces them within a few hours. For breaking-rule news, layer Bloomberg or Politico on top.

Tools

  • search_documents — Search the US Federal Register for proposed rules, final rules, notices, and presidential documents. Returns title, abstract, agency, publication date, and links. Example: search_documents(“artificial
  • get_document — Get full details for a Federal Register document by its document number (e.g., “2024-12345”). Returns title, abstract, full text link, agencies, dates, and docket information.
  • recent_rules — Get recently published final rules and regulations from the Federal Register. Returns title, abstract, agency, effective dates, and significance. Useful for tracking new regulations.

Tools

  • get_document — Get full details for a Federal Register document by its document number (e.g., 2024-12345 ). Returns title, abstract, full text link, agencies, dates, and docket information.
  • recent_rules — Get recently published final rules and regulations from the Federal Register. Returns title, abstract, agency, effective dates, and significance. Useful for tracking new regulations.
  • search_documents — Search the US Federal Register for proposed rules, final rules, notices, and presidential documents. Returns title, abstract, agency, publication date, and links. Example: search_documents( artificial

Regenerated from source · build May 9, 2026