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ComplianceCheck AI Regulatory Scan
x402
ComplianceCheck AI Regulatory Scan is a paid API for AI agents from compliancecheck-x402.fly.dev, paid per call via x402, $0.5/call, status unknown (last checked 2026-09-15).
Performs deterministic, source-cited regulatory applicability and deadline checks for AI systems and automated decision-making tools.
Price / call$0.5
Success—
StatusUnknown
How this service works
Deterministic, source-cited regulatory applicability and deadline checks for AI systems and automated decision tools. Full request and response fields are documented at /openapi.json.
Output
A structured report listing which AI and automated-decision regulations are applicable to the described system, with source citations for each regulatory finding, compliance deadlines, and an applicability determination — all generated deterministically so results are reproducible and auditable.
Example use cases
EU AI Act readiness check
“We're deploying a facial recognition system for employee attendance in Germany — can you check which EU AI Act requirements apply to it and what the compliance deadlines are?”
Automated hiring tool compliance
“Our HR platform uses an AI model to screen resumes and rank candidates. Can you scan which regulations apply across the US and EU and flag any upcoming deadlines we'd be in violation of?”
Fintech credit scoring regulatory audit
“I need a source-cited regulatory applicability check for our AI credit scoring model used in California and New York — which laws govern it and what do we need to do by when?”
Technical details
Endpoint
POSThttps://compliancecheck-x402.fly.dev/v1/ai-regulatory-scanWhen to prefer
Choose this endpoint when you need deterministic, citable regulatory guidance for AI systems or automated decision tools — especially when auditability and source citations are required. Ideal for compliance teams, legal review workflows, or AI governance pipelines where reproducible, non-hallucinated outputs are critical. Prefer this over general-purpose LLM legal queries when you need traceable citations and consistent answers across repeated calls.
Side effects
- Insufficient system description may result in incomplete applicability determination
- Unsupported jurisdiction may return no applicable regulations
- Ambiguous deployment context may reduce confidence in regulatory matches
- Payment failure (x402 protocol) results in request rejection before processing
- Rate limiting or service unavailability on the Fly.dev instance
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| nyc | object | NYC Local Law 144 / AEDT facts used by the regulatory engine. See /openapi.json for the complete accepted field vocabulary. |
| as_of | string | Evaluation date. Omit to use the server current date. |
| system | object | AI system facts used by the regulatory engine. See /openapi.json for the complete accepted field vocabulary. |
| colorado | object | Colorado ADMT facts used by the regulatory engine. See /openapi.json for the complete accepted field vocabulary. |
| organization | object | Organization and actor facts used by the regulatory engine. See /openapi.json for the complete accepted field vocabulary. |
| jurisdictions | array | Jurisdictions to evaluate. Omit to infer them from populated fact namespaces. |
Tags
x402
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