AnswerPool Federal Register Rules Search

x402

AnswerPool Federal Register Rules Search is a paid API for AI agents from answerpool.io, paid per call via x402, $0.005/call, status unknown (last checked 2026-10-27).

Search and retrieve recent U.S. federal regulatory documents (rules, proposed rules, notices) from the Federal Register, filtered by agency, topic, date range, and significance

Price / call$0.005

Seller volume →—

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StatusUnknown

How this service works

Track US federal rules by term or agency — returns Federal Register rules and proposed rules with docket/RIN/CFR ids, effective and comment-close dates, deadline flags and day counts. Use instead of polling federalregister.gov.

Output

A JSON object containing an as_of timestamp, total matching document count, and an array of regulatory documents each with: document number, title, type (rule/proposed rule/notice), action description, publishing agencies, publication date, effective date, comment close date, significance flag, abstract, docket IDs, regulation ID numbers, CFR references, topic tags, Federal Register URL, status flags (e.g. 'significant', 'comments_close_soon'), and days until comment close or effective date.

Example use cases

Tracking crypto regulatory proposals

“Show me all proposed rules mentioning 'crypto assets' from the SEC in the last 60 days, including comment deadlines and docket IDs — I want to know which ones are still open for comment.”

Compliance monitoring for financial firms

“Pull the most recent significant rules and proposed rules from the CFTC since January 2026, up to 50 documents, so I can review what new regulations may affect our trading operations.”

Policy researcher regulatory digest

“Give me a list of up to 25 EPA rules or proposed rules published since 2026-06-01 on the topic of 'clean air', including their abstracts and effective dates.”

Technical details

Endpoint

GEThttps://answerpool.io/v1/regs/rules?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need machine-readable, structured federal regulatory intelligence — especially for compliance monitoring, regulatory tracking, or policy research — rather than scraping federalregister.gov directly. It is ideal for AI agents that need to filter by agency, significance level, or topic keyword and receive clean, schema-validated output with comment deadlines and CFR references pre-parsed. Prefer it over general web search when you need reliable structured data with provenance and consistent schema.

Side effects

Invalid agency slug returns empty results or 400 error
Date strings in wrong format may cause 422 validation error
Very broad term with no results returns count 0 and empty documents array
Limit out of range (below 1 or above 100) causes validation error
Payment not provided or insufficient USDC triggers 402 Payment Required response

Output

Schema · Response

{
  "type": "json",
  "example": {
    "as_of": "2026-08-30T18:00:00Z",
    "count": 1,
    "documents": [
      {
        "url": "https://www.federalregister.gov/documents/2026/08/21/2026-15872",
        "type": "Proposed Rule",
        "flags": [
          "significant",
          "comments_close_soon"
        ],
        "title": "Regulation Crypto Assets",
        "action": "Proposed rule",
        "topics": [
          "securities"
        ],
        "abstract": "The Commission proposes a framework for crypto asset securities...",
        "agencies": [
          "Securities and Exchange Commission"
        ],
        "docket_ids": [
          "S7-12-26"
        ],
        "significant": true,
        "effective_on": null,
        "cfr_references": [
          "17 CFR 230"
        ],
        "document_number": "2026-15872",
        "publication_date": "2026-08-21",
        "comments_close_on": "2026-10-20",
        "days_to_effective": null,
        "days_to_comment_close": 51,
        "regulation_id_numbers": [
          "3235-AN70"
        ]
      }
    ],
    "total_matching": 14
  }
}

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