Is Sam Agents Safe?
Exercise caution with Sam Agents. Sam Agents is a software tool with a Nerq Trust Score of 35.1/100 (E). It is below the recommended threshold of 70. 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 Sam Agents safe?
NO — USE WITH CAUTION — Sam Agents has a Nerq Trust Score of 35.1/100 (E). It has below-average trust signals with significant gaps in security, maintenance, or documentation. Not recommended for production use without thorough manual review and additional security measures.
Trust Score Breakdown
Key Findings
Details
| Author | 0x53eaf4cd171842d8144e45211308e5d90b4b0088 |
| Category | uncategorized |
| Source | https://8004scan.io/agents/sam-agents |
| Protocols | x402 |
What Is Sam Agents?
Sam Agents is a software tool in the uncategorized category: Monitor Mento stablecoin exchange rates, execute swaps between CELO and cUSD/cEUR/cREAL, analyze market conditions with trend analysis and predictions, and manage a forex trading portfolio on Celo. Supports fee abstraction — pay gas in cUSD instead of CELO. Agent deployed by agenthaus.space. Nerq Trust Score: 35/100 (E).
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 Sam Agents'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 dimensions: Security (known CVEs, dependency vulnerabilities, security policies), Maintenance (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).
Sam Agents receives an overall Trust Score of 35.1/100 (E), 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=Sam Agents
Each dimension is weighted according to its importance for the tool's category. For example, Security and Maintenance 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 Sam Agents's score reflects the risks most relevant to its actual usage patterns. The final score is a weighted average across all five dimensions, normalized to a 0-100 scale with letter grades from A (highest) to F (lowest).
Who Should Use Sam Agents?
Sam Agents is designed for:
- Developers and teams working with uncategorized tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
Risk guidance: We recommend caution with Sam Agents. The low trust score suggests potential risks in security, maintenance, or community support. Consider using a more established alternative for any production or sensitive workload.
How to Verify Sam Agents'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 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 Sam Agents's dependency tree. - Review permissions — Understand what access Sam Agents requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Sam Agents 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=Sam Agents - Review the license — Confirm that Sam Agents'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 Sam Agents
When evaluating whether Sam Agents is safe, consider these category-specific risks:
Understand how Sam Agents processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Sam Agents's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.
Regularly check for updates to Sam Agents. Security patches and bug fixes are only effective if you're running the latest version.
If Sam Agents 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 Sam Agents's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Sam Agents in violation of its license can expose your organization to legal liability.
Best Practices for Using Sam Agents Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Sam Agents while minimizing risk:
Periodically review how Sam Agents is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.
Ensure Sam Agents and all its dependencies are running the latest stable versions to benefit from security patches.
Grant Sam Agents only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Sam Agents's security advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Sam Agents is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Sam Agents?
Even promising tools aren't right for every situation. Consider avoiding Sam Agents 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 Sam Agents's trust score of 35.1/100 meets your organization's risk tolerance. We recommend running a manual security assessment alongside the automated Nerq score.
How Sam Agents Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among uncategorized tools, the average Trust Score is 62/100. Sam Agents's score of 35.1/100 is below the category average of 62/100.
This suggests that Sam Agents trails behind many comparable uncategorized tools. Organizations with strict security 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 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 Sam Agents 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, Sam Agents'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 Sam Agents's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=Sam Agents&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 Sam Agents are strengthening or weakening over time.
Key Takeaways
- Sam Agents has a Trust Score of 35.1/100 (E) and is not yet Nerq Verified.
- Sam Agents has significant trust gaps. Consider higher-rated alternatives unless specific requirements mandate its use.
- Among uncategorized tools, Sam Agents 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.
Frequently Asked Questions
Is Sam Agents safe to use?
What is Sam Agents's trust score?
What are safer alternatives to Sam Agents?
How often is Sam Agents's safety score updated?
Can I use Sam Agents 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.