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Federal Register AI Governance Document Detail Lookup
x402
Federal Register AI Governance Document Detail Lookup is a paid API for AI agents from oracles-production.up.railway.app, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-15).
Retrieves stored detail for a single Federal Register document related to AI governance, identified by an entityId like 'fedreg:2026-14090'.
Price / call$0.01
Success—
StatusUnknown
How this service works
Full stored detail for a single AI & automated-systems governance action by entity ID (e.g. 'fedreg:2026-14090', 'ftc:…', 'ico:…') — the originating regulator (the Federal Register (rules, agency notices, executive orders), White House actions, FTC AI enforcement, the EU AI Office & Commission, EU legal acts, and NIST standards activity), action type, date, significance, and primary-source link.
Output
Returns a stored entity object containing detailed information about a single Federal Register document related to AI governance, including regulatory metadata and rule content indexed by the provided entityId.
Example use cases
Example prompt
“Can you pull up the full details for Federal Register document fedreg:2026-14090 from the AI governance tracker?”
Technical details
Endpoint
GEThttps://oracles-production.up.railway.app/v1/reg-ai-governance/statusWhen to prefer
Use this endpoint when you have a specific Federal Register document entityId (format: fedreg:YYYY-NNNNN) and need the full stored detail record for that AI governance document. Prefer this over listing endpoints when you already know the document identifier and need complete record details rather than a summary or digest.
Side effects
- Missing or invalid entityId returns empty or error response
- EntityId not found in stored database returns null or 404
- Omitting the id query parameter may return a list of tracked entities instead of a specific document
- Malformed entityId format (not matching 'fedreg:YYYY-NNNNN' pattern) may return no results
- Payment failure (x402) if USDC payment not properly handled
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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