{"uid":"cap_zozT55JWAlnM40AIBnuQ3","slug":"answerpool-federal-register-docket-timeline-4d34fbe6","name":"AnswerPool Federal Register Docket Timeline","description":"AnswerPool turns SEC EDGAR, the Federal Register, USAspending, NIH, BLS and OpenAlex into structured JSON answers that AI agents and developers fetch in one call. 69 endpoints free, no account; derived analyses $0.02–$0.05 per call by card credits or USDC (x402). 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Each document includes its URL, type (Proposed Rule, Final Rule, Notice, etc.), title, abstract, action text, publishing agency, docket IDs, RIN, CFR references, publication date, effective date, comment close date, days-to-effective, days-to-comment-close, significance flag, and an array of deadline/status flags such as 'effective_soon', 'final_rule_pending_effect', or 'significant'.","failureModes":["Unknown or invalid docket ID returns empty result set with count 0","Docket with no Federal Register documents returns empty array","Rate limiting or payment failure returns HTTP 402 or 429","Malformed docket ID format may return a 400 error","Docket exists but has no activity in the queried timeframe returns stale as-of timestamp"],"whenToPreferThis":"Choose this endpoint when you need the complete chronological history of a single federal rulemaking docket — from NPRM through final rule and corrections — with deadline flags already computed. It is the right choice over general Federal Register search when you know the specific docket ID and want lifecycle context rather than cross-docket discovery. Prefer it over scraping federalregister.gov directly for structured, flag-enriched, agent-ready JSON with days-to-deadline precomputed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-14T13:03:05.106Z","isFirstParty":false}