Hyperbrowserai Hyper Researcher Trust Signal Breakdown high 23 sub-signals across 6 dimensions
Vulnerability & Safety ×0.25 5.0 CVEs, dependency health, and supply chain integrity
1 of 3 sub-signals with data
Known CVEs 100% 5.0
No known CVEs
via OSV.dev
Dependency Health no data —
Weight redistributed to sub-signals with data
Supply Chain no data —
Weight redistributed to sub-signals with data
Operational Reliability ×0.15 4.3 Uptime, latency, error rates, and incident history
4 of 4 sub-signals with data
Uptime 35% 5.0
100.00% over 2 checks
via Health checks
Response Latency 25% 3.0
p99: 833ms, p50: 833ms
via Health checks
Error Rate 20% 5.0
0.00% error rate (0/2)
via Health checks
Incident History 20% 4.0
1 incidents in last 90 days
via Incidents table
Maintenance Activity ×0.15 1.6 Commit recency, release cadence, issue response, CI/CD
3 of 4 sub-signals with data
Commit Recency 37% 1.0
via GitHub
Release Cadence 31% 2.0
via GitHub
Issue Response no data —
Weight redistributed to sub-signals with data
CI/CD Presence 31% 2.0
via GitHub Actions
Adoption ×0.15 0.0 Downloads, stars, dependents, and growth trajectory
1 of 4 sub-signals with data
Download Volume no data —
Weight redistributed to sub-signals with data
GitHub Stars 100% 0.0
1 stars
via GitHub
Dependent Packages no data —
Weight redistributed to sub-signals with data
Growth Trend no data —
Weight redistributed to sub-signals with data
Transparency ×0.15 2.3 License, documentation, security policy, changelog
4 of 4 sub-signals with data
Open Source 30% 2.0
Public repo but no license detected
via GitHub
Documentation 25% 3.0
Adequate README (>500 bytes)
via GitHub
Security Policy 20% 2.0
No SECURITY.md found
via GitHub
Changelog 25% 2.0
No CHANGELOG.md and no releases found
via GitHub
Publisher Trust ×0.15 2.8 Track record, org maturity, community standing
4 of 4 sub-signals with data
Track Record 30% 3.0
Internal: 3.0 (4 services), External: 3.0 (288 followers, 3203 stars)
via Fabric index
Org Maturity 30% 3.5
Organization, 1.3 years old
via GitHub
Community Standing 20% 3.0
20 public repositories
via GitHub
Cross-Platform 20% 1.0
Present on 1 platform(s): github
via Registry scan
Scored across 23 sub-signals in 6 dimensions Scoring engine v1 (beta) — actively being expanded Phase 1: Core sub-signal architecture (live) Phase 2: Permission scope & expanded collection (in progress)
Trust Assessment AI Assessment
Hyperbrowserai Hyper Researcher is a Next.js-based infrastructure service published by hyperbrowserai with unknown licensing. The service shows reliable uptime (100%) and no security vulnerabilities, but critically low maintenance activity (1.63/5.00) and zero measurable adoption suggest it may be experimental or unmaintained. The combination of absent download metrics, minimal transparency documentation, and unclear licensing makes this not recommended for production infrastructure without direct publisher verification.
Generated by Fabric AI · Mar 6, 2026 at 3:29 AM
Package Availability (30d)
100.00%
p50: 833ms · p99: 833ms
Avg Latency
525ms
averaged across 30d health checks
Weekly Downloads
—
no package registry data
Transparency & Compliance 2/5 passed
Incidents & Alerts last 90 days
Score History 2 snapshots
Mar 6 Mar 6
Data Sources 6 indexed
◎
OSV.dev CVE database · vulnerability scanning for npm & PyPI packages
◈
GitHub API Commits, issues, releases, repo metadata, transparency checks
⬡
npm Registry Package metadata, weekly downloads, maintainers, dependencies
⬡
PyPI Package metadata, weekly downloads, dependency tree
△
HTTP Health Checks 15-min pings · uptime, latency, status monitoring
◎
PyPI Stats Download statistics and trends
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