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Strale AI Act Assessment
x402
Strale AI Act Assessment is a paid API for AI agents from api.strale.io, paid per call via x402, $0.864001/call, status unknown (last checked 2026-09-15).
Assesses an AI system's compliance posture under the EU AI Act given a system description and deployment country
Price / call$0.864001
Success—
StatusUnknown
How this service works
Classify your AI system's risk level under the EU AI Act before the August 2026 deadline. Risk classification, obligations, and supervisory authority.
Output
A structured JSON response containing an EU AI Act risk classification (e.g. high-risk, limited risk, minimal risk), applicable regulatory obligations, compliance posture analysis, and an audit trail — all keyed to the described AI system and deployment country.
Example use cases
Validate chatbot compliance before EU launch
“We're launching a customer support chatbot across France and Spain that can reject support tickets without human review. Can you assess our EU AI Act risk classification and tell us what obligations we need to meet before going live?”
Check high-risk biometric system requirements
“Our HR tech company built a facial recognition system for office access control that we want to deploy in the Netherlands. What's our risk level under the EU AI Act and what compliance steps are mandatory before we launch?”
Assess content moderation system regulations
“We have a content moderation AI that decides which posts get removed on our platform — it's deployed in Italy and Belgium. Can you classify this under the EU AI Act and outline exactly what compliance checkpoints we need to document in our audit trail?”
Technical details
Endpoint
POSThttps://api.strale.io/x402/solutions/ai-act-assessWhen to prefer
Use this endpoint when you need a structured, auditable EU AI Act risk classification for a specific AI system before or during European deployment. Particularly useful for compliance teams, legal reviewers, or AI developers who need to understand their obligations under EU AI Act and want JSON output with an audit trail rather than generic legal advice.
Side effects
- Missing required 'description' field returns 400 validation error
- Invalid or unsupported ISO 3166-1 country code returns 400 or unrecognized country error
- Ambiguous or very short system description may yield low-confidence classification
- Payment failure via x402 protocol returns 402 Payment Required
- Service unavailability returns 503
Input
{
"company": "TechVision AI Labs",
"description": "A machine learning system that analyzes customer support tickets and automatically categorizes them by urgency and topic to route to appropriate support teams. The system uses natural language processing to extract key information from ticket text and assigns priority scores based on detected keywords and sentiment analysis.",
"deployment_country": "DE"
}Schema · Request body
| Field | Type | Description |
|---|---|---|
| company | string | |
| description | string | Describe what your AI system does |
| deployment_country | string | ISO 3166-1 alpha-2 country code |
Output
{
"_meta": {
"payment": {
"method": "x402",
"price_usd": 0.8640000000000001,
"settlement_id": "0xfc6b48c1dd6083139ff4b3354e9eee360abcb42ed6dc366bdbd63d4b6a407bad"
},
"solution": "ai-act-assess",
"latency_ms": 2210,
"step_count": 3
},
"steps": {
"gdpr-fine-lookup": {
"fines": [],
"total_fines": 0,
"total_amount_eur": 0
},
"eu-ai-act-classify": {
"timeline": "No mandatory compliance deadline, but voluntary codes of conduct may apply.",
"prohibited": false,
"risk_level": "minimal",
"obligations": [
"No mandatory obligations under the EU AI Act.",
"Voluntary codes of conduct encouraged (Article 95)."
],
"recommendations": [
"Although not legally required, consider adopting voluntary codes of conduct (Article 95).",
"Maintain good AI development practices (transparency, fairness, safety).",
"Monitor regulatory developments — classification may change with delegated acts.",
"Document your AI system's purpose and functionality for potential future audits."
],
"matched_keywords": [],
"applicable_articles": [
"Article 95 (Codes of conduct for minimal-risk AI)"
],
"classification_reason": "No high-risk, limited-risk, or prohibited keywords detected. System appears to fall under minimal risk.",
"system_description_summary": "A machine learning system that analyzes customer support tickets and automatically categorizes them by urgency and topic to route to appropriate support teams. The system uses natural language process",
"conformity_assessment_needed": false
},
"data-protection-authority-lookup": {
"phone": "+49 228 997799-0",
"address": "Graurheindorfer Str. 153, 53117 Bonn, Germany",
"website": "https://www.bfdi.bund.de",
"country_code": "DE",
"country_name": "Germany",
"complaint_url": "https://www.bfdi.bund.de/DE/Buerger/Inhalte/Allgemein/Beschwerde/Beschwerde_node.html",
"contact_email": "poststelle@bfdi.bund.de",
"authority_name": "Der Bundesbeauftragte für den Datenschutz und die Informationsfreiheit (BfDI)"
}
},
"solution": "ai-act-assess"
}Tags
x402
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