# AnswerPool Federal Register Docket Timeline

> AnswerPool Federal Register Docket Timeline is a paid API for AI agents from answerpool.io, paid per call via x402, $0.005/call, status unknown (last checked 2026-09-14).

Returns all Federal Register documents in a single agency docket — proposals, comments, extensions, final rules, and corrections — newest first with deadline flags, enabling full rulemaking lifecycle tracking in one call.

## Facts

- Endpoint: GET https://answerpool.io/v1/regs/docket
- Price: $0.005/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/answerpool-federal-register-docket-timeline-4d34fbe6
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_zozT55JWAlnM40AIBnuQ3

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability answerpool-federal-register-docket-timeline-4d34fbe6
```

Example prompt: Pull up every Federal Register document for the SEC docket SEC-2026-001 — I want to see the full rulemaking history from the initial proposal through the final rule, with any upcoming effective or comment deadlines flagged.

## When to prefer this

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.

## Known failure modes

- 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

## How this service works

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). MCP server, full provenance.

## Output

A JSON object with an as-of timestamp, total document count, and an array of Federal Register documents for the requested docket sorted newest first. 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'.

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "as_of": "2026-09-02T14:00:00Z",
  "count": 1,
  "documents": [
   {
    "url": "https://www.federalregister.gov/d/2026-12341",
    "type": "Rule",
    "flags": [
     "significant",
     "effective_soon",
     "final_rule_pending_effect"
    ],
    "title": "Cybersecurity Risk Management Rule",
    "action": "Final rule.",
    "topics": [
     "Securities"
    ],
    "abstract": "Requires registrants to disclose material cybersecurity incidents.",
    "agencies": [
     "Securities and Exchange Commission"
    ],
    "docket_ids": [
     "SEC-2026-001"
    ],
    "significant": true,
    "effective_on": "2026-09-12",
    "cfr_references": [
     "17 CFR 240"
    ],
    "document_number": "2026-12341",
    "publication_date": "2026-08-30",
    "comments_close_on": null,
    "days_to_effective": 10,
    "days_to_comment_close": null,
    "regulation_id_numbers": [
     "3235-AN00"
    ]
   }
  ],
  "total_matching": 3
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/answerpool-federal-register-docket-timeline-4d34fbe6/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from answerpool.io](https://www.zero.xyz/host/answerpool.io/llms.txt)