Is Data Analysis Agentic Ai Safe?
Use Data Analysis Agentic Ai with some caution. Data Analysis Agentic Ai is a software tool with a Nerq Trust Score of 58.3/100 (D), based on 5 independent data dimensions. It is below the recommended threshold of 70. 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: 2026-03-25. Machine-readable data (JSON).
Is Data Analysis Agentic Ai safe?
CAUTION — Data Analysis Agentic Ai has a Nerq Trust Score of 58.3/100 (D). It has moderate trust signals but shows some areas of concern that warrant attention. Suitable for development use — review security and maintenance signals before production deployment.
Trust Score Breakdown
Key Findings
Details
| Author | akshayaasd |
| Category | data |
| Source | https://github.com/akshayaasd/data_analysis_agentic_AI |
| Frameworks | openai · anthropic |
| Protocols | rest |
Regulatory Compliance
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 100/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Popular Alternatives in data
What Is Data Analysis Agentic Ai?
Data Analysis Agentic Ai is a software tool in the data category: A production-grade multi-agent AI system for intelligent data analysis and visualization.. Nerq Trust Score: 58/100 (D).
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 Data Analysis Agentic Ai's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensions. Here is how Data Analysis Agentic Ai performs in each:
- Security (0/100): Data Analysis Agentic Ai's security posture is poor. This score factors in known CVEs, dependency vulnerabilities, security policy presence, and code signing practices.
- Maintenance (1/100): Data Analysis Agentic Ai 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): Data Analysis Agentic Ai 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 58.3/100 (D) 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 Data Analysis Agentic Ai?
Data Analysis Agentic Ai 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: Data Analysis Agentic Ai is suitable for development and testing environments. Before production deployment, conduct a thorough review of its security posture, review the specific trust signals above, and consider whether a higher-scored alternative meets your requirements.
How to Verify Data Analysis Agentic Ai'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 Data Analysis Agentic Ai's dependency tree. - Review permissions — Understand what access Data Analysis Agentic Ai requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Data Analysis Agentic Ai 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=data_analysis_agentic_AI - Review the license — Confirm that Data Analysis Agentic Ai'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 Data Analysis Agentic Ai
When evaluating whether Data Analysis Agentic Ai is safe, consider these category-specific risks:
Understand how Data Analysis Agentic Ai processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Data Analysis Agentic Ai's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.
Regularly check for updates to Data Analysis Agentic Ai. Security patches and bug fixes are only effective if you're running the latest version.
If Data Analysis Agentic Ai 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 Data Analysis Agentic Ai's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Data Analysis Agentic Ai in violation of its license can expose your organization to legal liability.
Data Analysis Agentic Ai and the EU AI Act
Data Analysis Agentic Ai 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 Data Analysis Agentic Ai Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Data Analysis Agentic Ai while minimizing risk:
Periodically review how Data Analysis Agentic Ai is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.
Ensure Data Analysis Agentic Ai and all its dependencies are running the latest stable versions to benefit from security patches.
Grant Data Analysis Agentic Ai only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Data Analysis Agentic Ai's security advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Data Analysis Agentic Ai is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Data Analysis Agentic Ai?
Even promising tools aren't right for every situation. Consider avoiding Data Analysis Agentic Ai in these scenarios:
- Production environments handling sensitive customer data
- Regulated industries (healthcare, finance, government) without additional compliance review
- Mission-critical systems where downtime has significant business impact
For each scenario, evaluate whether Data Analysis Agentic Ai's trust score of 58.3/100 meets your organization's risk tolerance. We recommend running a manual security assessment alongside the automated Nerq score.
How Data Analysis Agentic Ai 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. Data Analysis Agentic Ai's score of 58.3/100 is near the category average of 62/100.
This places Data Analysis Agentic Ai in line with the typical data tool tool. It meets baseline expectations but does not distinguish itself from peers on trust metrics.
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 Data Analysis Agentic Ai 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, Data Analysis Agentic Ai'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 Data Analysis Agentic Ai's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=data_analysis_agentic_AI&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 Data Analysis Agentic Ai are strengthening or weakening over time.
Data Analysis Agentic Ai vs Alternatives
In the data category, Data Analysis Agentic Ai scores 58.3/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Data Analysis Agentic Ai vs firecrawl — Trust Score: 73.8/100
- Data Analysis Agentic Ai vs MinerU — Trust Score: 84.6/100
- Data Analysis Agentic Ai vs mindsdb — Trust Score: 77.5/100
Key Takeaways
- Data Analysis Agentic Ai has a Trust Score of 58.3/100 (D) and is not yet Nerq Verified.
- Data Analysis Agentic Ai shows moderate trust signals. Conduct thorough due diligence before deploying to production environments.
- Among data tools, Data Analysis Agentic Ai scores near 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.
Frequently Asked Questions
Is Data Analysis Agentic Ai safe to use?
What is Data Analysis Agentic Ai's trust score?
What are safer alternatives to Data Analysis Agentic Ai?
How often is Data Analysis Agentic Ai's safety score updated?
Can I use Data Analysis Agentic Ai in a regulated environment?
Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.