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LimitGuard Compliance Readiness Assessment
x402
LimitGuard Compliance Readiness Assessment is a paid API for AI agents from api.limitguard.ai, paid per call via x402, $0.11/call, status unknown (last checked 2026-10-10).
Returns a compliance readiness score and identified gaps for an AI system or entity, indicating how prepared they are for regulatory requirements like trust scoring or credit scoring frameworks.
Price / call$0.11
Success—
StatusUnknown
How this service works
Check every lead against official business registers, VAT and sanctions lists. Proceed, review or block, with the source. 5 lead checks free.
Output
A JSON object containing a numeric readiness_score (0-100), the system_type assessed, and an array of gaps listing specific compliance items that are missing or incomplete (e.g. 'transparency_documentation').
Example use cases
Pre-deployment AI agent compliance check
“Before we go live with our new AI agent 'agent-prod-001', run a compliance readiness check on it as a trust_scoring system and tell me the score and any gaps we still have.”
Tracking readiness progress after remediation
“We've completed transparency_documentation and audit_logging for entity 'biz-corp-789' — can you re-run the compliance readiness assessment as a credit_scoring system to see how our score has improved and what's still outstanding?”
Regulatory gap analysis for investor due diligence
“I need to know how compliance-ready our AI trust scoring platform with entity ID 'platform-alpha-55' is — give me the readiness score and list every gap so I can share it with our investors.”
Technical details
Endpoint
GEThttps://api.limitguard.ai/v1/compliance/readiness/%7Bid%7D?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to assess how ready a specific entity or AI system is for compliance with regulatory frameworks (trust scoring, credit scoring), especially when you want a gap analysis showing exactly which checklist items are incomplete. Prefer this over the quick risk score endpoint when you need actionable remediation guidance, not just a raw risk number.
Side effects
- Missing or invalid entity_id returns an error or empty result
- Unknown system_type value may result in incorrect scoring framework being applied
- If completed_items are not correctly specified, gaps may be over-reported
- Service may return stale scores if underlying compliance data sources are not refreshed
- 402 Payment Required if prepaid balance is insufficient
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| note | string | |
| inputrequired | object | |
| output | object | |
| sandbox | object | |
| recovery | object | |
| prepaidBalance | object | |
| documentation_url | string | |
| cachedTierAvailable | boolean |
Output
Schema · Response
{
"type": "json",
"example": {
"gaps": [
{
"id": "data_governance",
"requirement": "Data governance and quality (Art. 10)"
},
{
"id": "technical_docs",
"requirement": "Technical documentation (Art. 11)"
},
{
"id": "record_keeping",
"requirement": "Automatic logging/record-keeping (Art. 12)"
},
{
"id": "transparency",
"requirement": "Transparency and information to users (Art. 13)"
},
{
"id": "human_oversight",
"requirement": "Human oversight measures (Art. 14)"
},
{
"id": "accuracy_robustness",
"requirement": "Accuracy, robustness, cybersecurity (Art. 15)"
}
],
"note": "Self-assessment: the score counts the completed_items you sent against the 7 EU AI Act high-risk obligations. entity_id is your label; nothing is looked up about it.",
"basis": "self_assessment",
"urgency": "critical",
"entity_id": "acme-ai",
"risk_level": "HIGH",
"system_type": "trust_scoring",
"total_items": 7,
"completed_items": 1,
"readiness_score": 14,
"days_until_enforcement": 0
}
}Tags
x402
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