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

B
설명 품질
100%
스키마 완전성
65%
이름 품질
90%
오염 위험
80%
권한 일치
100%
프로토콜 준수
100%

발견 사항 (2)

  • HIGHTool poisoning patterns detected
  • MEDIUMTool description contains URL to non-standard domaineu_ai_act_compliance에서

도구 정의와 프로토콜 준수에 대한 자동 분석을 기반으로 합니다.

컨텍스트 비용

~962토큰 (도구 정의)
~3.1 KB일반적인 응답 크기
중간 정도의 주의 영향 (128k 컨텍스트의 0.75%)

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-http

할 수 있는 일

도구 목록

도구 (2)

🟢 읽기 전용🟡 쓰기🔴 삭제⚪ 알 수 없음
🟢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"
}

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