Is Semioscan Safe?
Semioscan — Nerq Trust Score 48.2/100 (D grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-25
Semioscan is a Rust crate with a Nerq Trust Score of 48.2/100 (D), based on 3 independent data dimensions. Last analyzed: 2026-03-25 Security: 90/100. Popularity: 0/100. Data sourced from crates.io registry, GitHub, NVD, and RustSec advisory database. Last updated: 2026-03-25. Machine-readable data (JSON).
Is Semioscan safe?
Trust Score Breakdown — Semioscan has a Nerq Trust Score of 48.2/100 (D). Measured across 2 independent trust signals (as of 2026-03-25).
What is Semioscan's trust score?
Semioscan has a Nerq Trust Score of 48.2/100, earning a D grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Semioscan?
Semioscan's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Semioscan and who maintains it?
| Author | Unknown |
| Category | Rust Crates |
| Source | N/A |
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Safety Guide: Semioscan
What is Semioscan?
Semioscan is a Rust crate — Production-grade Rust library for blockchain analytics: gas calculation, price extraction, and block window calculations for EVM chains.
How to Verify Safety
Run cargo audit. Review on crates.io for activity.
You can also check the trust score via API: GET /v1/preflight?target=semioscan
Key Safety Concerns for Rust crate
When evaluating any Rust crate, watch for: dependency vulnerabilities, unsafe code, maintenance status.
Measured Signals
Semioscan has a Nerq Trust Score of 48/100 (D). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Semioscan has a Trust Score of 48/100 (D).
- The score is a measured composite — it is not a suitability judgment. Evaluate the individual signals against your own requirements.
- Query the current measured values via the Nerq API.
Frequently Asked Questions
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Disclaimer: Nerq trust scores are automated measurements based on publicly available signals. They are not endorsements, verdicts, or guarantees of suitability. Always evaluate the signals against your own requirements.