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Regulatory Cybersecurity Compliance Brief
x402
Regulatory Cybersecurity Compliance Brief is a paid API for AI agents from oracles-production.up.railway.app, paid per call via x402, $0.25/call, status unknown (last checked 2026-09-15).
Returns an LLM-generated digest of the most important cybersecurity regulatory requirements and deadlines from a configurable recent time window
Price / call$0.25
Success—
StatusUnknown
How this service works
LLM-written compliance digest of the cybersecurity requirements rules in the window that actually matter (cybersecurity, incident report, critical infrastructure, information security, cyber incident) — issuing agency named, deadlines called out.
Output
A structured object containing: a 'brief' string with an LLM-written narrative summary of important cybersecurity regulatory requirements and deadlines in the time window; 'generatedBy' indicating whether it was produced by an LLM or template; and 'basedOnChanges' integer showing how many regulatory changes were analyzed to produce the brief.
Example use cases
Example prompt
“Give me a concise LLM-written digest of the cybersecurity compliance requirements and deadlines that have come up since January 1, 2025 — just the rules that actually matter, with deadlines called out.”
Technical details
Endpoint
GEThttps://oracles-production.up.railway.app/v1/reg-cybersecurity/briefWhen to prefer
Use this endpoint when you need a quick, human-readable summary of what cybersecurity compliance requirements actually matter in a recent time window — especially when you need deadlines called out. Prefer this over raw regulatory feeds when the agent or user needs actionable prose rather than structured data, or when checking in on compliance posture without deep-diving into every regulatory document.
Side effects
- No regulatory changes found in the specified window — may return a brief with basedOnChanges: 0
- Invalid 'since' date format returns a 400 error
- Payment not processed (x402 protocol) — 402 Payment Required response
- Service unavailable or LLM generation failure — 500 error
- Window too large may result in truncated or less specific summaries
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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