Agent Data Tools: Company, compliance and checks
38 tools: OFAC sanctions, counterparty checks, company, domain, email. 25 free calls.
作者提供的说明(英文原文)
EU AI Act + Colorado AI Act compliance scoring. 87/100 in 60 seconds. Free local scan.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
DINGDAWG_API_KEY标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"dingdawg-compliance": {
"command": "npx",
"args": [
"-y",
"dingdawg-compliance"
],
"env": {
"DINGDAWG_API_KEY": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add dingdawg-compliance --env DINGDAWG_API_KEY=your-value -- npx -y dingdawg-compliance运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"dingdawg-compliance": {
"command": "npx",
"args": [
"-y",
"dingdawg-compliance"
],
"env": {
"DINGDAWG_API_KEY": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"dingdawg-compliance": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"dingdawg-compliance"
],
"env": {
"DINGDAWG_API_KEY": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日
注册名称已通过 GitHub 账户 DingDawg-dev 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
你需要填写:DINGDAWG_API_KEY
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(2.0.4)于7个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。
同一分类中有:Agent Data Tools: Company, compliance and checks, Agent Data Tools, CourtReserve MCP by usefulapi
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
38 tools: OFAC sanctions, counterparty checks, company, domain, email. 25 free calls.
641 agent tools: chain data, prices, sanctions, web, PDF. 25 free calls, then from $0.002.
Read club members, court availability, reservations, events, attendance and revenue reports.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
Colorado SB 205 AI Act compliance scanner. Run it in 60 seconds. Get your score. Know your gaps before June 30, 2026.
pip install dingdawg-compliance
python3 -m dingdawg_compliance scan
Colorado SB 205 requires any company using AI for consequential decisions (employment, housing, credit, insurance, healthcare, education) to:
This tool scores your readiness across all 25 SB 205 controls. Free. No signup. Runs locally.
pip install dingdawg-compliance
Requires Python 3.9+. No external dependencies — stdlib only.
python3 -m dingdawg_compliance scan
Walk through all 25 controls. Answer y/n/skip for each. Get your score at the end.
Example output:
──────────────────────────────────────────────────────
Overall Score: 44/100 [████████░░░░░░░░░░░░] NEEDS WORK ──────────────────────────────────────────────────────
Category Scores: ~ scope 100% ✗ impact_assessment 0% ✗ transparency 33% ✗ appeal 0% ~ governance 50% ✗ bias_testing 0% ✗ data_governance 0% ✗ incident_response 50% ✓ audit 100%
⚠ Critical gaps (2) — mandatory under SB 205: • CO-3 Pre-Deployment Impact Assessment • CO-6 Consumer Disclosure at Point of Decision
Need the full remediation report? → dingdawg.com/compliance (CO SB 205 gap report — $199)
python3 -m dingdawg_compliance score responses.json
Format for responses.json:
{
"CO-1": true, "CO-2": true, "CO-3": false, "CO-4": null }
true = implemented, false = not implemented, null = unknown (scored as not implemented).
python3 -m dingdawg_compliance controls
from dingdawg_compliance import calculate_co_sb205_score, CO_SB_205_CONTROLS
responses = { "CO-1": True, # scope: identified consequential decisions "CO-3": False, # impact_assessment: no pre-deployment assessment yet "CO-6": True, # transparency: consumer disclosure implemented
}
result = calculate_co_sb205_score(responses) print(result["score"]) # 0-100 print(result["gaps"]) # list of unimplemented controls print(result["critical_gaps"]) # CO-3, CO-6, CO-10, CO-14 if missing
from dingdawg_compliance import ComplianceStore, ComplianceScorer, ComplianceFramework
store = ComplianceStore() # stored at ~/.dingdawg/compliance/compliance.db
store.assess_control("CO-3", status="COMPLIANT", assessor="legal-team", notes="Completed Q1 2026")
scorer = ComplianceScorer(store) print(scorer.overall_posture_score()) # e.g. 72.0 print(scorer.per_framework_score()) # per-framework breakdown print(scorer.gap_analysis()) # prioritized gap list
from dingdawg_compliance import AutoAssessor
from pathlib import Path
assessor = AutoAssessor( base_dir=Path("./src"), db_paths=[Path("./data/app.db")] )
results = assessor.run_all_checks() print(results"checks"["summary"]) print(results"checks"["summary"])
| ID | Category | Control | Critical |
|---|---|---|---|
| CO-1 | scope | Consequential Decision Identification | |
| CO-2 | scope | High-Risk AI System Classification | |
| CO-3 | impact_assessment | Pre-Deployment Impact Assessment | ★ |
| CO-4 | impact_assessment | Annual Impact Assessment Review | |
| CO-5 | impact_assessment | Impact Assessment Documentation | |
| CO-6 | transparency | Consumer Disclosure at Point of Decision | ★ |
| CO-7 | transparency | Disclosure Timing | |
| CO-8 | transparency | Disclosure Content — AI Role | |
| CO-9 | transparency | Disclosure Content — Data Used | |
| CO-10 | appeal | Appeal Mechanism | ★ |
| CO-11 | appeal | Human Review Option | |
| CO-12 | appeal | Opt-Out Mechanism | |
| CO-13 | appeal | Appeal Response Timeline | |
| CO-14 | governance | Responsible AI Officer Designation | ★ |
| CO-15 | governance | AI Inventory | |
| CO-16 | governance | Vendor Due Diligence | |
| CO-17 | governance | Policy Documentation | |
| CO-18 | bias_testing | Pre-Deployment Bias Testing | |
| CO-19 | bias_testing | Ongoing Bias Monitoring | |
| CO-20 | bias_testing | Protected Class Analysis | |
| CO-21 | data_governance | Training Data Documentation | |
| CO-22 | data_governance | Data Minimization | |
| CO-23 | incident_response | AI Incident Response Plan | |
| CO-24 | incident_response | Error Notification | |
| CO-25 | audit | Third-Party Audit Trail |
★ Critical — mandatory remediation required before June 30, 2026.
This scanner shows what to check and where your gaps are. It does not generate remediation plans, regulatory citations, evidence templates, or audit-ready documentation.
For the full gap report with remediation guidance → dingdawg.com/compliance
Apache 2.0 — free to use, fork, and contribute.
PRs welcome for new indicators, additional frameworks, or CLI improvements. Open an issue first for anything structural.