agent-data-test vs MinerU — Trust Score Comparison

Side-by-side trust comparison of agent-data-test and MinerU. Scores based on security, compliance, maintenance, popularity, and ecosystem signals.

agent-data-test scores 66.3/100 (C) while MinerU scores 70.5/100 (B) on the Nerq Trust Score. MinerU leads by 4.2 points. agent-data-test is a data tool with 0 stars. MinerU is a uncategorized tool with 179 stars, Nerq Verified.
66.3
C
Categorydata
Stars0
Sourcegithub
Security0
Compliance100
Maintenance1
Documentation1
vs
70.5
B verified
Categoryuncategorized
Stars179
Sourcepulsemcp

Detailed Metric Comparison

Metric agent-data-test MinerU
Trust Score66.3/10070.5/100
GradeCB
Stars0179
Categorydatauncategorized
Security0N/A
Compliance100N/A
Maintenance1N/A
Documentation1N/A
EU AI Act RiskminimalN/A
VerifiedNoYes

Verdict

MinerU leads with a trust score of 70.5/100 compared to agent-data-test's 66.3/100 (a 4.2-point difference). Both agents should be evaluated based on your specific requirements.

Detailed Analysis

Security

Security scores measure dependency vulnerabilities, CVE exposure, and security practices. agent-data-test scores 0 and MinerU scores N/A on this dimension.

Maintenance & Activity

Activity scores reflect how actively each project is maintained. agent-data-test: 1, MinerU: N/A.

Documentation

Documentation quality is evaluated based on README, API docs, and example coverage. agent-data-test: 1, MinerU: N/A.

Community & Adoption

agent-data-test has 0 GitHub stars while MinerU has 179. MinerU has significantly broader community adoption, which typically means more Stack Overflow answers, more third-party tutorials, and faster ecosystem development.

When to Choose Each Tool

Choose agent-data-test if you need:

  • More actively maintained with faster release cadence
  • Better documentation for faster onboarding

Choose MinerU if you need:

  • Higher overall trust score — more reliable for production use
  • Larger community (179 vs 0 stars)

Switching from agent-data-test to MinerU (or vice versa)

When migrating between agent-data-test and MinerU, consider these factors:

  1. API Compatibility: agent-data-test (data) and MinerU (uncategorized) serve different categories, so migration may require significant refactoring.
  2. Security Review: Run a security audit after migration. Check the agent-data-test safety report and MinerU safety report for known issues.
  3. Testing: Ensure your test suite covers all integration points before switching in production.
  4. Community Support: agent-data-test has 0 stars and MinerU has 179. Larger communities typically mean better Stack Overflow answers and migration guides.
agent-data-test Safety Report MinerU Safety Report agent-data-test Alternatives MinerU Alternatives

Related Pages

Frequently Asked Questions

Which is safer, agent-data-test or MinerU?
Based on Nerq's independent trust assessment, agent-data-test has a trust score of 66.3/100 (C) while MinerU scores 70.5/100 (B). The 4.2-point difference suggests MinerU has a stronger trust profile. Trust scores are based on security, compliance, maintenance, documentation, and community adoption.
How do agent-data-test and MinerU compare on security?
agent-data-test has a security score of 0/100 and MinerU scores N/A/100. There is a notable difference in their security assessments. agent-data-test's compliance score is 100/100 (EU risk: minimal), while MinerU's is N/A/100 (EU risk: N/A).
Should I use agent-data-test or MinerU?
The choice depends on your requirements. agent-data-test (data, 0 stars) and MinerU (uncategorized, 179 stars) serve different use cases. On trust, agent-data-test scores 66.3/100 and MinerU scores 70.5/100. Review the full KYA reports for each agent before making a decision. Consider factors like integration requirements, documentation quality (1 vs N/A), and maintenance activity (1 vs N/A).

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Last updated: 2026-08-31 | Data refreshed weekly
Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.

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