Is Prediction Market Mcp Safe?
Prediction Market Mcp — Nerq Trust Score 62.6/100 (C grade). Based on analysis of 5 trust dimensions, it is generally safe but has some concerns. Last updated: 2026-05-01.
Use Prediction Market Mcp with some caution. Prediction Market Mcp is a software tool with a Nerq Trust Score of 62.6/100 (C), based on 5 independent data dimensions. Below the recommended threshold of 70. Security: 0/100. Maintenance: 0/100. Popularity: 0/100. Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-05-01. Machine-readable data (JSON).
Is Prediction Market Mcp safe?
CAUTION — Prediction Market Mcp has a Nerq Trust Score of 62.6/100 (C). 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.
What is Prediction Market Mcp's trust score?
Prediction Market Mcp has a Nerq Trust Score of 62.6/100, earning a C grade. This score is based on 5 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Prediction Market Mcp?
Prediction Market Mcp's strongest signal is compliance at 82/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.
What is Prediction Market Mcp and who maintains it?
| Author | JamesANZ |
| Category | Finance |
| Stars | 29 |
| Source | https://github.com/JamesANZ/prediction-market-mcp |
| Protocols | mcp |
Regulatory Compliance
| EU AI Act Risk Class | HIGH |
| Compliance Score | 82/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Popular Alternatives in finance
Prediction Market Mcp Across Platforms
Same developer/company in other registries:
What Is Prediction Market Mcp?
Prediction Market Mcp is a software tool in the finance category: A simple MCP server that gathers and processes prediction market data from various sources.. It has 29 GitHub stars. Nerq Trust Score: 63/100 (C).
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 Prediction Market Mcp's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensions. Here is how Prediction Market Mcp performs in each:
- Security (0/100): Prediction Market Mcp's security posture is poor. This score factors in known CVEs, dependency vulnerabilities, security policy presence, and code signing practices.
- Maintenance (0/100): Prediction Market Mcp is potentially abandoned. We track commit frequency, release cadence, issue response times, and PR merge rates.
- Documentation (0/100): Documentation quality is insufficient. This includes README completeness, API documentation, usage examples, and contribution guidelines.
- Compliance (82/100): Prediction Market Mcp 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 62.6/100 (C) 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 Prediction Market Mcp?
Prediction Market Mcp is designed for:
- Developers and teams working with finance tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
Risk guidance: Prediction Market Mcp 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 Prediction Market Mcp'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 Prediction Market Mcp's dependency tree. - Review permissions — Understand what access Prediction Market Mcp requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Prediction Market Mcp 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=prediction-market-mcp - Review the license — Confirm that Prediction Market Mcp'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 Prediction Market Mcp
When evaluating whether Prediction Market Mcp is safe, consider these category-specific risks:
Understand how Prediction Market Mcp processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Prediction Market Mcp's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.
Regularly check for updates to Prediction Market Mcp. Security patches and bug fixes are only effective if you're running the latest version.
If Prediction Market Mcp 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 Prediction Market Mcp's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Prediction Market Mcp in violation of its license can expose your organization to legal liability.
Prediction Market Mcp and the EU AI Act
Prediction Market Mcp is classified as High Risk under the EU AI Act. This imposes significant requirements including risk management systems, data governance, technical documentation, and human oversight.
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 Prediction Market Mcp Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Prediction Market Mcp while minimizing risk:
Periodically review how Prediction Market Mcp is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.
Ensure Prediction Market Mcp and all its dependencies are running the latest stable versions to benefit from security patches.
Grant Prediction Market Mcp only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Prediction Market Mcp's security advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Prediction Market Mcp is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Prediction Market Mcp?
Even promising tools aren't right for every situation. Consider avoiding Prediction Market Mcp 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 Prediction Market Mcp's trust score of 62.6/100 meets your organization's risk tolerance. We recommend running a manual security assessment alongside the automated Nerq score.
How Prediction Market Mcp Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among finance tools, the average Trust Score is 62/100. Prediction Market Mcp's score of 62.6/100 is above the category average of 62/100.
This positions Prediction Market Mcp favorably among finance tools. While it outperforms the average, there is still room for improvement in certain trust dimensions.
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 Prediction Market Mcp 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, Prediction Market Mcp'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 Prediction Market Mcp's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=prediction-market-mcp&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 Prediction Market Mcp are strengthening or weakening over time.
Prediction Market Mcp vs Alternatives
In the finance category, Prediction Market Mcp scores 62.6/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Prediction Market Mcp vs OpenBB — Trust Score: 64.7/100
- Prediction Market Mcp vs qlib — Trust Score: 71.2/100
- Prediction Market Mcp vs TradingAgents — Trust Score: 65.5/100
Key Takeaways
- Prediction Market Mcp has a Trust Score of 62.6/100 (C) and is not yet Nerq Verified.
- Prediction Market Mcp shows moderate trust signals. Conduct thorough due diligence before deploying to production environments.
- Among finance tools, Prediction Market Mcp scores 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.
Frequently Asked Questions
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See Also
Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.