Безопасен ли Query Average Agent?
Query Average Agent — Nerq Trust Score 42.8/100 (Оценка D). На основе анализа 5 измерений доверия, считается имеющим заметные проблемы безопасности. Последнее обновление: 2026-04-06.
Будьте осторожны с Query Average Agent. Query Average Agent — это software tool с рейтингом доверия Nerq 42.8/100 (D). Ниже верифицированного порога Nerq Данные из множественные публичные источники, включая реестры пакетов, GitHub, NVD, OSV.dev и OpenSSF Scorecard. Последнее обновление: 2026-04-06. Машинночитаемые данные (JSON).
Безопасен ли Query Average Agent?
NO — USE WITH CAUTION — Query Average Agent has a Nerq Trust Score of 42.8/100 (D). Сигналы доверия ниже среднего со значительными пробелами in безопасность, обслуживание, or документация. Not recommended for production use without thorough manual review and additional безопасность measures.
Каков рейтинг доверия Query Average Agent?
Query Average Agent имеет Nerq Trust Score 42.8/100 с оценкой D. Этот балл основан на 5 независимо измеренных параметрах, включая безопасность, обслуживание и принятие сообществом.
Каковы основные выводы по безопасности Query Average Agent?
Самый сильный сигнал Query Average Agent — общее доверие на уровне 42.8/100. Известных уязвимостей не обнаружено. It has not yet reached the Nerq Verified threshold of 70+.
Что такое Query Average Agent и кто его поддерживает?
| Разработчик | f2c7d1cb9f224e8d191f395df65168a6f4886c13ec5d90bf |
| Категория | Community |
| Источник | https://agentverse.ai/agents/query-average-agent |
Популярные альтернативы в community
What Is Query Average Agent?
Query Average Agent is a software tool in the community category: Aims to answer queries and calculate averages.. Nerq Trust Score: 43/100 (D).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including безопасность vulnerabilities, обслуживание activity, license соответствие, and принятие сообществом.
How Nerq Assesses Query Average Agent's Safety
Nerq evaluates every software tool across 13+ independent trust signals drawn from public sources including GitHub, NVD, OSV.dev, OpenSSF Scorecard, and package registries. These signals are grouped into five core показателей: Безопасность (known CVEs, dependency vulnerabilities, безопасность policies), Обслуживание (commit frequency, release cadence, issue response times), Documentation (README quality, API docs, examples), Compliance (license, regulatory alignment across 52 jurisdictions), and Community (stars, forks, downloads, ecosystem integrations).
Query Average Agent receives an overall Trust Score of 42.8/100 (D), which Nerq considers low. This is below the Nerq Verified threshold of 70. We recommend additional due diligence before production deployment.
Nerq updates trust scores continuously as new data becomes available. To get the latest assessment, query the API: GET nerq.ai/v1/preflight?target=query-average-agent
Each dimension is weighted according to its importance for the tool's category. For example, Безопасность and Обслуживание carry higher weight for tools that handle sensitive data or execute code, while Community and Documentation are weighted more heavily for developer-facing libraries and frameworks. This ensures that Query Average Agent's score reflects the risks most relevant to its actual usage patterns. The final score is a weighted average across all five показателей, normalized to a 0-100 scale with letter grades from A (highest) to F (lowest).
Who Should Use Query Average Agent?
Query Average Agent is designed for:
- Developers and teams working with community tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
Risk guidance: We recommend caution with Query Average Agent. The low trust score suggests potential risks in безопасность, обслуживание, or community support. Consider using a more established alternative for any production or sensitive workload.
How to Verify Query Average Agent's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — Проверьте repository безопасность policy, open issues, and recent commits for signs of active обслуживание.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Query Average Agent's dependency tree. - Отзыв permissions — Understand what access Query Average Agent requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Query Average Agent in a sandboxed environment before granting access to production data or systems.
- Monitor continuously — Use Nerq's API to set up automated trust checks:
GET nerq.ai/v1/preflight?target=query-average-agent - Проверьте license — Confirm that Query Average Agent'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.
- 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 безопасность concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Query Average Agent
When evaluating whether Query Average Agent is safe, consider these category-specific risks:
Understand how Query Average Agent processes, stores, and transmits your data. Проверьте tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Query Average Agent's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher безопасность risk.
Regularly check for updates to Query Average Agent. Безопасность patches and bug fixes are only effective if you're running the latest version.
If Query Average Agent 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.
Verify that Query Average Agent's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Query Average Agent in violation of its license can expose your organization to legal liability.
Best Practices for Using Query Average Agent Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Query Average Agent while minimizing risk:
Periodically review how Query Average Agent is used in your workflow. Check for unexpected behavior, permissions drift, and соответствие with your безопасность policies.
Ensure Query Average Agent and all its dependencies are running the latest stable versions to benefit from безопасность patches.
Grant Query Average Agent only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Query Average Agent's безопасность advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Query Average Agent is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Query Average Agent?
Even promising tools aren't right for every situation. Consider avoiding Query Average Agent in these scenarios:
- Production environments handling sensitive customer data
- Regulated industries (healthcare, finance, government) without additional соответствие review
- Mission-critical systems where downtime has significant business impact
For each scenario, evaluate whether Query Average Agent's trust score of 42.8/100 meets your organization's risk tolerance. We recommend running a manual безопасность assessment alongside the automated Nerq score.
How Query Average Agent Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among community tools, the average Trust Score is 62/100. Query Average Agent's score of 42.8/100 is below the category average of 62/100.
This suggests that Query Average Agent trails behind many comparable community tools. Organizations with strict безопасность requirements should evaluate whether higher-scoring alternatives better meet their needs.
Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks умеренный 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 Query Average Agent 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 обслуживание patterns change, Query Average Agent'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 безопасность and quality. Conversely, a downward trend may signal reduced обслуживание, growing technical debt, or unresolved vulnerabilities. To track Query Average Agent's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=query-average-agent&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 — безопасность, обслуживание, документация, соответствие, and community — has evolved independently, providing granular visibility into which aspects of Query Average Agent are strengthening or weakening over time.
Query Average Agent vs Альтернативы
In the community category, Query Average Agent scores 42.8/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Query Average Agent vs KTA-Oracle — Trust Score: 64.0/100
- Query Average Agent vs InTouch: Bridging Memory Gaps — Trust Score: 64.0/100
- Query Average Agent vs Nexa Trading Agent — Trust Score: 64.0/100
Основные выводы
- Query Average Agent has a Trust Score of 42.8/100 (D) and is not yet Nerq Verified.
- Query Average Agent has significant trust gaps. Consider higher-rated alternatives unless specific requirements mandate its use.
- Among community tools, Query Average Agent scores below the category average of 62/100, suggesting room for improvement relative to peers.
- Always verify safety independently — use Nerq's Preflight API for automated, up-to-date trust checks before integration.
Часто задаваемые вопросы
Безопасен ли Query Average Agent?
Каков рейтинг доверия Query Average Agent?
What are safer alternatives to Query Average Agent?
How often is Query Average Agent's safety score updated?
Can I use Query Average Agent in a regulated environment?
См. также
Disclaimer: Рейтинги доверия Nerq — это автоматические оценки, основанные на публично доступных сигналах. Они не являются рекомендацией или гарантией. Всегда проводите собственную проверку.