Er Value Extraction sikker?
Value Extraction — Nerq Tillidsscore 37.9/100 (Karakter E). Baseret på analyse af 5 tillidsdimensioner vurderes det som har betydelige sikkerhedsrisici. Sidst opdateret: 2026-04-01.
Vær forsigtig med Value Extraction. Value Extraction is a software tool with a Nerq Tillidsscore of 37.9/100 (E). Det er under den anbefalede tærskel på 70. Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-04-01. Maskinlæsbare data (JSON).
Er Value Extraction sikker?
NEJ — BRUG MED FORSIGTIGHED — Value Extraction has a Nerq Tillidsscore of 37.9/100 (E). Har under gennemsnitlige tillidssignaler med betydelige huller i sikkerhed, vedligeholdelse eller dokumentation. Anbefales ikke til produktionsbrug uden grundig manuel gennemgang og yderligere sikkerhedsforanstaltninger.
Hvad er Value Extractions tillidsscore?
Value Extraction has a Nerq Tillidsscore of 37.9/100, earning a E grade. This score is based on 5 independently measured dimensions including security, maintenance, and community adoption.
Hvad er de vigtigste sikkerhedsresultater for Value Extraction?
Value Extraction's strongest signal is samlet tillid at 37.9/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.
Hvad er Value Extraction og hvem vedligeholder det?
| Udvikler | 0x0e62b4fe5aa3800f6098f33bab5f28077c62caba |
| Kategori | uncategorized |
| Kilde | https://8004scan.io/agents/value-extraction |
What Is Value Extraction?
Value Extraction is a software tool in the uncategorized category: Crypto market intelligence agent. Real-time BTC/ETH/macro analysis, on-chain whale tracking, CEX flow monitoring. AI-powered. Twitter: @value_extract. Nerq Tillidsscore: 38/100 (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 Value Extraction'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: Sikkerhed (known CVEs, dependency vulnerabilities, security policies), Vedligeholdelse (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).
Value Extraction receives an overall Tillidsscore of 37.9/100 (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=Value Extraction
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 Value Extraction'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 Value Extraction?
Value Extraction 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 Value Extraction. 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 Value Extraction'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 Value Extraction's dependency tree. - Anmeldelse permissions — Understand what access Value Extraction requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Value Extraction 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=Value Extraction - Gennemgå license — Confirm that Value Extraction'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 Value Extraction
When evaluating whether Value Extraction is safe, consider these category-specific risks:
Understand how Value Extraction processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Value Extraction's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.
Regularly check for updates to Value Extraction. Security patches and bug fixes are only effective if you're running the latest version.
If Value Extraction 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 Value Extraction's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Value Extraction in violation of its license can expose your organization to legal liability.
Best Practices for Using Value Extraction Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Value Extraction while minimizing risk:
Periodically review how Value Extraction is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.
Ensure Value Extraction and all its dependencies are running the latest stable versions to benefit from security patches.
Grant Value Extraction only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Value Extraction's security advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Value Extraction is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Value Extraction?
Even promising tools aren't right for every situation. Consider avoiding Value Extraction 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 Value Extraction 37.9/100 meets your organization's risk tolerance. We recommend running a manual security assessment alongside the automated Nerq score.
How Value Extraction Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among uncategorized tools, the average Tillidsscore is 62/100. Value Extraction's score of 37.9/100 is below the category average of 62/100.
This suggests that Value Extraction 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.
Tillidsscore History
Nerq continuously monitors Value Extraction and recalculates its Tillidsscore 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, Value Extraction'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 Value Extraction's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=Value Extraction&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 Value Extraction are strengthening or weakening over time.
Vigtigste pointer
- Value Extraction has a Tillidsscore of 37.9/100 (E) and is not yet Nerq Verified.
- Value Extraction has significant trust gaps. Consider higher-rated alternatives unless specific requirements mandate its use.
- Among uncategorized tools, Value Extraction 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.
Ofte stillede spørgsmål
Er Value Extraction sikker at bruge?
Hvad er tillidsscoren for Value Extraction?
Hvad er sikrere alternativer til Value Extraction?
How often is Value Extraction's safety score updated?
Kan jeg bruge Value Extraction i et reguleret miljø?
Disclaimer: Nerqs tillidsscorer er automatiserede vurderinger baseret på offentligt tilgængelige signaler. De udgør ikke anbefalinger eller garantier. Foretag altid din egen verificering.