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ForgeMesh Rulemaking Alert Feed
x402
ForgeMesh Rulemaking Alert Feed is a paid API for AI agents from x402.forgemesh.io, paid per call via x402, $0.005/call, status unknown (last checked 2026-09-14).
Queries the Federal Register for the most recent regulatory documents matching an industry keyword, returning document type, stage, issuing agency, and full-text URL
Price / call$0.005
Success—
StatusUnknown
How this service works
Rulemaking alert feed for agents: query any industry term and get the most recent official regulatory documents touching it — what stage each is at, which agency issued it, and where to read the full text. Poll it to catch proposed rules during their public-comment window.
Output
A JSON object with a count of total matching documents and an array of results, each containing: document type (e.g. Notice, Proposed Rule), title, abstract snippet, list of issuing agencies, URL to the full Federal Register entry, and publication date. Attribution to the Federal Register is included.
Example use cases
Compliance monitor for fintech startup
“Pull the latest Federal Register rulemaking documents about 'cryptocurrency' and tell me which agencies are involved, what stage each rule is at, and link me to the full text for anything that's still in the public comment window.”
AI policy tracker for enterprise legal team
“Search for all recent federal regulatory documents touching 'artificial intelligence' — I need the title, issuing agency, publication date, and a link to each one so our legal team can review them.”
Lobbyist alert for agricultural industry
“Check the Federal Register for any new proposed rules or notices about 'pesticides' and give me a summary of each document including which agency issued it and what stage the rulemaking is in.”
Technical details
Endpoint
POSThttps://x402.forgemesh.io/rulemaking-alertsWhen to prefer
Use this endpoint when an agent needs to track or react to US federal regulatory activity on a specific topic — particularly for compliance monitoring, public comment participation, or policy research. It is purpose-built for regulatory document search against the Federal Register, making it more targeted than a general web search for regulatory news. Prefer it over manual web scraping when structured metadata (agency, stage, date, URL) is needed alongside document discovery.
Side effects
- Empty query returns newest documents rather than targeted results — may be too broad
- Obscure or misspelled search terms return zero results
- Federal Register data may have a publication lag of 1-2 days from official issuance
- Very broad search terms may return thousands of results with limited pagination control
- Payment failure (402) if USDC balance is insufficient
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| q | string | search term, e.g. 'stablecoin' — empty returns newest documents |
Output
Schema · Response
{
"type": "json",
"example": {
"data": {
"count": 1546,
"results": [
{
"type": "Notice",
"title": "Artificial Intelligence Risk Management Guidance",
"abstract": "Request for comment on updated AI risk management guidance...",
"agencies": [
{
"name": "Commerce Department"
}
],
"html_url": "https://www.federalregister.gov/documents/2026/08/18/example",
"publication_date": "2026-08-18"
}
]
},
"attribution": "Federal Register (public domain)"
}
}Tags
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