Openagentpay은(는) 안전한가요?

Openagentpay — Nerq Trust Score 66.1/100 (C 등급). 5개의 신뢰 차원 분석 결과, 대체로 안전하지만 일부 우려 사항이 있음으로 평가됩니다. 마지막 업데이트: 2026-07-15.

Openagentpay을(를) 주의하며 사용하세요. Openagentpay 은(는) software tool입니다 Nerq 신뢰 점수 66.1/100 (C), 5개의 독립적으로 측정된 데이터 차원 기반. Nerq 인증 기준 미달 보안: 0/100. 유지보수: 1/100. 인기도: 0/100. 패키지 레지스트리, GitHub, NVD, OSV.dev, OpenSSF Scorecard를 포함한 여러 공개 소스에서 수집된 데이터. 마지막 업데이트: 2026-07-15. 기계 판독 가능 데이터 (JSON).

Openagentpay은(는) 안전한가요?

CAUTION — Openagentpay has a Nerq Trust Score of 66.1/100 (C). 보통 수준의 신뢰 신호가 있지만 일부 우려 사항이 있습니다 that warrant attention. Suitable for development use — review 보안 and 유지보수 signals before production deployment.

보안 분석 → Openagentpay 개인정보 보고서 →

Openagentpay의 신뢰 점수는?

Openagentpay의 Nerq 신뢰 점수는 66.1/100이며 C 등급입니다. 이 점수는 보안, 유지보수, 커뮤니티 채택을 포함한 5개의 독립적으로 측정된 차원을 기반으로 합니다.

보안
0
규정 준수
100
유지보수
1
문서화
1
인기도
0

Openagentpay의 주요 보안 발견 사항은?

Openagentpay의 가장 강한 신호는 규정 준수이며 100/100입니다. 알려진 취약점이 감지되지 않았습니다. 아직 Nerq 인증 임계값 70+에 도달하지 못했습니다.

보안 점수: 0/100 (약함)
유지보수: 1/100 — 낮은 유지관리 활동
규정 준수: 100/100 — covers 52 of 52 관할권s
문서화: 1/100 — 제한적 문서화
인기도: 0/100 — 커뮤니티 채택

Openagentpay은(는) 무엇이며 누가 관리하나요?

개발자ttwj
카테고리Finance
출처https://github.com/ttwj/openagentpay
Frameworksopenai · anthropic
Protocolsmcp · a2a · rest

규정 준수

EU AI Act Risk ClassMINIMAL
Compliance Score100/100
JurisdictionsAssessed across 52 관할권s

finance의 인기 대안

OpenBB-finance/OpenBB
63.2/100 · C+
github
microsoft/qlib
69.3/100 · B-
github
TauricResearch/TradingAgents
64.0/100 · C+
github
TradingAgents-CN
61.5/100 · C+
github
virattt/dexter
67.2/100 · B-
github

What Is Openagentpay?

Openagentpay is a software tool in the finance category: Open-source agentic commerce platform with AI and MCP features.. Nerq Trust Score: 66/100 (C).

Nerq independently analyzes every software tool, app, and extension across multiple trust signals including 보안 vulnerabilities, 유지보수 activity, license 규정 준수, and 커뮤니티 채택.

How Nerq Assesses Openagentpay's Safety

Nerq's Trust Score is calculated from 13+ independent signals aggregated into five 차원. Here is how Openagentpay performs in each:

The overall Trust Score of 66.1/100 (C) reflects the weighted combination of these signals. This is below the Nerq Verified threshold of 70. We recommend additional due diligence before production deployment.

Who Should Use Openagentpay?

Openagentpay is designed for:

Risk guidance: Openagentpay is suitable for development and testing environments. Before production deployment, conduct a thorough review of its 보안 posture, review the specific trust signals above, and consider whether a higher-scored alternative meets your requirements.

How to Verify Openagentpay's Safety Yourself

While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:

  1. Check the source code — 다음을 검토하세요: repository's 보안 policy, open issues, and recent commits for signs of active 유지보수.
  2. Scan dependencies — Use tools like npm audit, pip-audit, or snyk to check for known vulnerabilities in Openagentpay's dependency tree.
  3. 리뷰 permissions — Understand what access Openagentpay requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Openagentpay in a sandboxed environment before granting access to production data or systems.
  5. Monitor continuously — Use Nerq's API to set up automated trust checks: GET nerq.ai/v1/preflight?target=openagentpay
  6. 다음을 검토하세요: license — Confirm that Openagentpay's license is compatible with your intended use case. Pay attention to restrictions on commercial use, redistribution, and derivative works. Some AI tools use dual licensing or have separate terms for enterprise customers that differ from the open-source license.
  7. Check community signals — Look at the project's issue tracker, discussion forums, and social media presence. A healthy community actively reports bugs, contributes fixes, and discusses 보안 concerns openly. Low community engagement may indicate limited peer review of the codebase.

Common Safety Concerns with Openagentpay

When evaluating whether Openagentpay is safe, consider these category-specific risks:

Data handling

Understand how Openagentpay processes, stores, and transmits your data. 다음을 검토하세요: tool's privacy policy and data retention practices, especially for sensitive or proprietary information.

Dependency 보안

Check Openagentpay's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher 보안 risk.

Update frequency

Regularly check for updates to Openagentpay. 보안 patches and bug fixes are only effective if you're running the latest version.

Third-party integrations

If Openagentpay connects to external APIs or services, each integration point is a potential attack surface. Audit all third-party connections, verify that data shared with external services is minimized, and ensure that integration credentials are rotated regularly.

License and IP 규정 준수

Verify that Openagentpay's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Openagentpay in violation of its license can expose your organization to legal liability.

Openagentpay and the EU AI Act

Openagentpay is classified as Minimal Risk under the EU AI Act. This is the lowest risk category, meaning it faces minimal regulatory requirements. However, transparency obligations still apply.

Nerq's 규정 준수 assessment covers 52 관할권s worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal 규정 준수.

Best Practices for Using Openagentpay Safely

Whether you're an individual developer or an enterprise team, these practices will help you get the most from Openagentpay while minimizing risk:

Conduct regular audits

Periodically review how Openagentpay is used in your workflow. Check for unexpected behavior, permissions drift, and 규정 준수 with your 보안 policies.

Keep dependencies updated

Ensure Openagentpay and all its dependencies are running the latest stable versions to benefit from 보안 patches.

Follow least privilege

Grant Openagentpay only the minimum permissions it needs to function. Avoid granting admin or root access.

Monitor for 보안 advisories

Subscribe to Openagentpay's 보안 advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.

Document usage policies

Create and maintain a clear policy for how Openagentpay is used within your organization, including data handling guidelines and acceptable use cases.

When Should You Avoid Openagentpay?

Even promising tools aren't right for every situation. Consider avoiding Openagentpay in these scenarios:

For each scenario, evaluate whether Openagentpay's trust score of 66.1/100 meets your organization's risk tolerance. We recommend running a manual 보안 assessment alongside the automated Nerq score.

How Openagentpay Compares to Industry Standards

Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among finance tools, the average Trust Score is 62/100. Openagentpay's score of 66.1/100 is above the category average of 62/100.

This positions Openagentpay favorably among finance tools. While it outperforms the average, there is still room for improvement in certain trust 차원.

Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks 보통 in isolation may actually represent strong performance within a challenging category — or vice versa. Nerq's category-relative analysis helps teams make informed decisions by showing not just absolute quality, but how a tool ranks against its direct peers.

Trust Score History

Nerq continuously monitors Openagentpay and recalculates its Trust Score as new data becomes available. Our scoring engine ingests real-time signals from source repositories, vulnerability databases (NVD, OSV.dev), package registries, and community metrics. When a new CVE is published, a major release ships, or 유지보수 patterns change, Openagentpay's score is updated within 24 hours.

Historical trust trends reveal whether a tool is improving, stable, or declining over time. A tool that consistently maintains or improves its score demonstrates ongoing commitment to 보안 and quality. Conversely, a downward trend may signal reduced 유지보수, growing technical debt, or unresolved vulnerabilities. To track Openagentpay's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=openagentpay&include=history

Nerq retains trust score snapshots at regular intervals, enabling trend analysis across weeks and months. Enterprise users can access detailed historical reports showing how each dimension — 보안, 유지보수, 문서화, 규정 준수, and community — has evolved independently, providing granular visibility into which aspects of Openagentpay are strengthening or weakening over time.

Openagentpay vs 대안

In the finance category, Openagentpay scores 66.1/100. There are higher-scoring alternatives available. For a detailed comparison, see:

주요 요점

자주 묻는 질문

Openagentpay은(는) 안전한가요?
주의하며 사용하세요. openagentpay Nerq 신뢰 점수 66.1/100 (C). 가장 강력한 신호: 규정 준수 (100/100). 보안 (0/100), 유지보수 (1/100), 인기도 (0/100), 문서화 (1/100) 기반 점수.
Openagentpay의 신뢰 점수는?
openagentpay: 66.1/100 (C). 보안 (0/100), 유지보수 (1/100), 인기도 (0/100), 문서화 (1/100) 기반 점수. Compliance: 100/100. 새로운 데이터가 제공되면 점수가 업데이트됩니다. API: GET nerq.ai/v1/preflight?target=openagentpay
Openagentpay의 더 안전한 대안은?
Finance 카테고리에서, higher-rated alternatives include OpenBB-finance/OpenBB (63/100), microsoft/qlib (69/100), TauricResearch/TradingAgents (64/100). openagentpay scores 66.1/100.
Openagentpay의 보안 점수는 얼마나 자주 업데이트되나요?
Nerq continuously monitors Openagentpay and updates its trust score as new data becomes available. Current: 66.1/100 (C), last 인증됨 2026-07-15. API: GET nerq.ai/v1/preflight?target=openagentpay
규제 환경에서 Openagentpay을 사용할 수 있나요?
Openagentpay은 Nerq 인증 임계값 70에 도달하지 못했습니다. 추가 검토가 권장됩니다.
API: /v1/preflight Trust Badge API Docs

참고 항목

Disclaimer: Nerq 신뢰 점수는 공개적으로 사용 가능한 신호를 기반으로 한 자동 평가입니다. 추천이나 보증이 아닙니다. 항상 직접 확인하세요.

분석 및 캐싱을 위해 쿠키를 사용합니다. 개인정보