systemprompt.io reports
Paid EU AI Act compliance reports for agents. $1.50 per call via x402 (USDC on Base) or Stripe.
사용해야 할까요
품질 및 안전성
발견 사항 (2)
- HIGH
- MEDIUMeu_ai_act_compliance에서
도구 정의와 프로토콜 준수에 대한 자동 분석을 기반으로 합니다.
컨텍스트 비용
이는 서버의 도구가 모델의 컨텍스트에 로드될 때마다 소비되는 대략적인 토큰 수입니다. 수치가 높을수록 다른 작업에 사용할 수 있는 주의가 줄어듭니다.
설치
원클릭 설치
`claude_desktop_config.json` 파일에 다음을 추가하세요:
{
"mcpServers": {
"reports": {
"url": "https://systemprompt.io/api/v1/mcp/systemprompt-reports/mcp"
}
}
}원격 엔드포인트
https://systemprompt.io/api/v1/mcp/systemprompt-reports/mcpstreamable-http할 수 있는 일
도구 목록
도구 (2)
🟢info
Free usage guide for this server. Explains how the paid report tools work: exact input requirements, per-call pricing, and how to complete payment via x402 (USDC on Base) or Stripe checkout. Costs nothing and never returns a 402. Call this first before any paid tool.
입력 스키마
{
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"title": "InfoInput",
"additionalProperties": true
}출력 스키마
{
"type": "object",
"properties": {
"x-artifact-type": {
"type": "string",
"default": "text"
},
"content": {
"type": "string"
},
"title": {
"type": [
"string",
"null"
]
}
},
"required": [
"content"
],
"$schema": "https://json-schema.org/draft/2020-12/schema",
"title": "TextArtifact",
"x-artifact-type": "text"
}🟢eu_ai_act_compliance(system_description, model_card, data_flows, decision_tree_answers, skip_decision_tree)
Generate a structured EU AI Act compliance report from a system description, model card, and data-flow document. Nothing is silently optional: system_description is always required (min 50 chars); model_card and data_flows each accept substantive content (min 50 chars) or the exact string 'declined' to explicitly opt out; and exactly one of decision_tree_answers (from the free risk classifier, becomes binding evidence) or skip_decision_tree: true must be sent. All of this is validated free of charge before payment. The deterministic Annex III decision tree runs on every call: user-supplied answers are binding, otherwise answers are AI-derived and recorded as such. The tree classification, article citations, obligations, and evidence checklist are returned verbatim in the report JSON, together with exact enforcement-timeline dates and the matched Annex III area from the curated dataset. A staged AI workflow then produces an article-by-article obligation gap analysis, a required-documentation checklist mapped to Annex IV, and a prioritised remediation plan. The report includes a deterministic input_coverage grade (full, partial, or description_only) computed from what was supplied versus declined, the full AI classification with rationale, a programmatic reconciliation check between the tree and the AI risk tier, and a citation audit that flags any implausible article references. Returns markdown plus structured JSON. Every paid call also generates a branded PDF report and returns its download link (valid 72 hours). Price: $1.50 per call, payable by card (Stripe checkout link in the 402 response) or USDC on Base (x402). Full documentation, inputs, and pricing: https://systemprompt.io/tools/eu-ai-act-compliance-report/ — more governance tools and reports at https://systemprompt.io/mcp
입력 스키마
{
"type": "object",
"properties": {
"system_description": {
"description": "Written description of the AI system: what it does, who uses it, what decisions it informs, and the context it operates in. Minimum 50 characters.",
"type": "string"
},
"model_card": {
"description": "Model card or equivalent documentation (minimum 50 characters), or the exact string 'declined' to explicitly decline supplying one. Declining lowers the report's input_coverage grade.",
"type": "string"
},
"data_flows": {
"description": "Data-flow description: what data enters the system, where it comes from, where outputs go (minimum 50 characters), or the exact string 'declined' to explicitly decline. Declining lowers the report's input_coverage grade.",
"type": "string"
},
"decision_tree_answers": {
"description": "Answer indices from the free EU AI Act risk classifier decision tree; the resulting classification becomes binding evidence. Required unless skip_decision_tree is true.",
"type": [
"array",
"null"
],
"items": {
"type": "integer",
"format": "uint",
"minimum": 0
}
},
"skip_decision_tree": {
"description": "Set true to explicitly skip supplying decision-tree answers; the tree is then derived by AI and the skip is recorded in input_coverage. Exactly one of decision_tree_answers or skip_decision_tree: true must be sent.",
"type": [
"boolean",
"null"
]
}
},
"required": [
"system_description",
"model_card",
"data_flows"
],
"$schema": "https://json-schema.org/draft/2020-12/schema",
"title": "EuAiActComplianceInput"
}출력 스키마
{
"type": "object",
"properties": {
"x-artifact-type": {
"type": "string",
"default": "text"
},
"content": {
"type": "string"
},
"title": {
"type": [
"string",
"null"
]
}
},
"required": [
"content"
],
"$schema": "https://json-schema.org/draft/2020-12/schema",
"title": "TextArtifact",
"x-artifact-type": "text"
}커뮤니티
증거