Ist Agent Data Parser sicher?
Agent Data Parser — Nerq Trust Score 75.0/100 (Note B). Basierend auf der Analyse von 5 Vertrauensdimensionen wird es als generell sicher, aber mit einigen Bedenken eingestuft. Zuletzt aktualisiert: 2026-04-01.
Ja, Agent Data Parser ist sicher in der Verwendung. Agent Data Parser is a software tool mit einer Nerq-Vertrauensbewertung von 75.0/100 (B), based on 5 independent data dimensions. It is recommended for use. Security: 0/100. Maintenance: 1/100. Popularity: 0/100. Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-04-01. Maschinenlesbare Daten (JSON).
Ist Agent Data Parser sicher?
YES — Agent Data Parser hat eine Nerq-Vertrauensbewertung von 75.0/100 (B). Es erfüllt die Vertrauensschwelle von Nerq mit starken Signalen in Sicherheit, Wartung und Community-Akzeptanz. Recommended for use — review the full report below for specific considerations.
Was ist die Vertrauensbewertung von Agent Data Parser?
Agent Data Parser hat eine Nerq-Vertrauensbewertung von 75.0/100 und erhält die Note B. Diese Bewertung basiert auf 5 unabhängig gemessenen Dimensionen.
Was sind die wichtigsten Sicherheitsergebnisse für Agent Data Parser?
Das stärkste Signal von Agent Data Parser ist konformität mit 100/100. Es wurden keine bekannten Schwachstellen erkannt. Erfüllt die Nerq-Vertrauensschwelle von 70+.
Was ist Agent Data Parser und wer pflegt es?
| Autor | bd-makers |
| Kategorie | data |
| Quelle | https://github.com/bd-makers/agent-data-parser |
| Protocols | rest |
Regulatorische Konformität
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 100/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Beliebte Alternativen in data
What Is Agent Data Parser?
Agent Data Parser is a software tool in the data category: Message parser library for React Native and Web. Nerq Trust Score: 75/100 (B).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including security vulnerabilities, maintenance activity, license compliance, and community adoption.
How Nerq Assesses Agent Data Parser's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensions. Here is how Agent Data Parser performs in each:
- Sicherheit (0/100): Agent Data Parser's security posture is poor. This score factors in known CVEs, dependency vulnerabilities, security policy presence, and code signing practices.
- Wartung (1/100): Agent Data Parser is potentially abandoned. We track commit frequency, release cadence, issue response times, and PR merge rates.
- Documentation (1/100): Documentation quality is insufficient. This includes README completeness, API documentation, usage examples, and contribution guidelines.
- Compliance (100/100): Agent Data Parser is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
- Community (0/100): Community adoption is limited. Based on GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 75.0/100 (B) reflects the weighted combination of these signals. This exceeds the Nerq Verified threshold of 70, indicating the tool meets our standards for production use.
Who Should Use Agent Data Parser?
Agent Data Parser is designed for:
- Developers and teams working with data tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
Risk guidance: Agent Data Parser meets the minimum threshold for production use, but we recommend monitoring for security advisories and keeping dependencies up to date. Consider implementing additional guardrails for sensitive workloads.
How to Verify Agent Data Parser's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — Review the repository's security policy, open issues, and recent commits for signs of active maintenance.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Agent Data Parser's dependency tree. - Bewertung permissions — Understand what access Agent Data Parser requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Agent Data Parser 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=agent-data-parser - Überprüfen Sie das/die license — Confirm that Agent Data Parser'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 security concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Agent Data Parser
When evaluating whether Agent Data Parser is safe, consider these category-specific risks:
Understand how Agent Data Parser processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Agent Data Parser's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.
Regularly check for updates to Agent Data Parser. Security patches and bug fixes are only effective if you're running the latest version.
If Agent Data Parser 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 Agent Data Parser's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Agent Data Parser in violation of its license can expose your organization to legal liability.
Agent Data Parser and the EU AI Act
Agent Data Parser 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 compliance assessment covers 52 jurisdictions worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal compliance.
Best Practices for Using Agent Data Parser Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Agent Data Parser while minimizing risk:
Periodically review how Agent Data Parser is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.
Ensure Agent Data Parser and all its dependencies are running the latest stable versions to benefit from security patches.
Grant Agent Data Parser only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Agent Data Parser's security advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Agent Data Parser is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Agent Data Parser?
Even well-trusted tools aren't right for every situation. Consider avoiding Agent Data Parser in these scenarios:
- Scenarios where Agent Data Parser's specific capabilities exceed your actual needs — simpler tools may be safer
- Air-gapped environments where the tool cannot receive security updates
- Projects with strict regulatory requirements that haven't been explicitly validated
For each scenario, evaluate whether Agent Data Parser von 75.0/100 meets your organization's risk tolerance. The Nerq Verified status indicates general production readiness, but sector-specific requirements may apply.
How Agent Data Parser Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among data tools, the average Trust Score is 62/100. Agent Data Parser's score of 75.0/100 is significantly above the category average of 62/100.
This places Agent Data Parser in the top tier of data tools that Nerq tracks. Tools scoring this far above average typically demonstrate mature security practices, consistent release cadence, and broad community adoption.
Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks moderate 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 Agent Data Parser 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 maintenance patterns change, Agent Data Parser'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 security and quality. Conversely, a downward trend may signal reduced maintenance, growing technical debt, or unresolved vulnerabilities. To track Agent Data Parser's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=agent-data-parser&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 — security, maintenance, documentation, compliance, and community — has evolved independently, providing granular visibility into which aspects of Agent Data Parser are strengthening or weakening over time.
Agent Data Parser vs Alternatives
In the data category, Agent Data Parser erzielt 75.0/100. It ranks among the top tools in its category. For a detailed comparison, see:
- Agent Data Parser vs firecrawl — Trust Score: 73.8/100
- Agent Data Parser vs MinerU — Trust Score: 84.6/100
- Agent Data Parser vs mindsdb — Trust Score: 77.5/100
Wichtigste Punkte
- Agent Data Parser hat eine Vertrauensbewertung von 75.0/100 (B) and is Nerq Verified.
- Agent Data Parser meets the minimum threshold for production deployment, though monitoring and additional guardrails are recommended.
- Among data tools, Agent Data Parser erzielt significantly above the category average of 62/100, demonstrating above-average reliability.
- Always verify safety independently — use Nerq's Preflight API for automated, up-to-date trust checks before integration.
Häufig gestellte Fragen
Ist Agent Data Parser sicher in der Verwendung?
Was ist Agent Data Parser's trust score?
Was sind sicherere Alternativen zu Agent Data Parser?
How often is Agent Data Parser's safety score updated?
Can I use Agent Data Parser in a regulated environment?
Disclaimer: Nerq-Vertrauensbewertungen sind automatisierte Bewertungen basierend auf öffentlich verfügbaren Signalen. Sie sind keine Empfehlungen oder Garantien. Führen Sie immer Ihre eigene Sorgfaltsprüfung durch.