updated 2026-07-29 01:00 UTC

Xpert AI

xpert-ai/xpert

Xpert AI is an AI agents and data analysis platform for enterprises to make business decisions.

Workflow Platforms TypeScript Grade D Listed AGPL-3.0
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Listing state
Listed
HVTrust
23.7/100 · Grade D
Evidence coverage
Grade D · 1/5 signals
Last push
2026-07-29 · 0d ago
Recent change
New

Is Xpert AI safe? Xpert AI scores 23.7/100 (Grade D), ranked #420 of 441 tracked open-source AI agent projects, on evidence coverage D (1 of 5 independent signal types). The public evidence: no package-provenance attestation found; no OSSF Scorecard result yet; 29% of recent commits are signed; last pushed 2026-07-29. Every point is earned from checkable signals — never paid placement. How scoring works →

Quick Trust Read

Verdict
Thin or incomplete trust evidence. Review carefully before production use.
23.7/100 · Grade D
Strongest Signal
Maintenance
20.0/20
Weakest Signal
Safety / Integrity
1.4/25
What Would Improve It
Add or improve OSSF Scorecard coverage so safety checks are easier to verify.
Recent Changes
2026-07-28
Newly Listed
First tracked at rank #420
Maintainer Checklist
Add Scorecard coverage Expose the repository to OpenSSF Scorecard checks so supply-chain posture is easier to verify.
Publish provenance Add package provenance or release attestations so users can verify where shipped artifacts came from.
Increase signed commits Raise the share of verified-signed commits to make maintainer identity and release history easier to trust.
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74.6
Activity sub-score · out of 100
23.7
HVTrust Score · out of 100
#420
Global Rank · of 441
#22
In Workflow Platforms

How to read this: HVTrust (0–100) weighs supply-chain signals (provenance, OSSF Scorecard, signed commits, open license) alongside real-world adoption. Grade D reflects the trust score band: A ≥ 80, B ≥ 65, C ≥ 50, D < 50. Evidence coverage D is separate — it grades how many independent signal types back the score (1 of 5), so a high score on thin evidence stays visible. Full methodology →

Signals refreshed 2026-07-29 01:00 UTC · Repo last pushed today

Rank Trend

2026-07-28 2026-07-29

Activity & Reach

Stars
419
Forks
81
Last Push
2026-07-29
today
Commits (4 wk)
366
Downloads (7d)
—
HN mentions (30d)
—
Open Issues
70
Rank Change
=
was #420

Analysis

HVTrust Dimensions

23.7 / 100 · 50.0% confidence
Safety / Integrity50% OSSF Scorecard · 30% provenance · 20% signed commits
1.4 / 25
Identity / Provenance60% listing status · 40% build provenance
10.8 / 18
Transparency50% declared license · 50% OSSF Scorecard
8.5 / 17
Maintenance60% last-push freshness · 40% commit activity
20.0 / 20
Adoption60% stars · 40% downloads, log-scaled
6.3 / 20

Activity Inputs

74.6 / 100
StarsRepository reach
15.7 / 30
FreshnessLast push recency
25.0 / 25
ActivityRecent commits
25 / 25
CommunityFork signal
8.9 / 20

Supply Chain Trust

Package Provenance
None
No package attestations found
OSSF Scorecard
—
Not available
Signed Commits
29%
of last 100 commits verified

Is Xpert AI safe?

Public trust evidence for Xpert AI is thin: several supply-chain signals are missing or weak. This does not mean the project is unsafe — it means an outside observer cannot easily verify the usual integrity checks. Treat with extra scrutiny.
Does Xpert AI publish package provenance?
No published build provenance is currently detected for Xpert AI. This is common for open-source projects but means consumers cannot independently verify that the package on the registry matches the GitHub source.
Does Xpert AI have an OpenSSF Scorecard?
No OpenSSF Scorecard data is currently published for Xpert AI. Maintainers can enable the Scorecard GitHub Action to get a public score; without it, automated supply-chain hygiene is harder for outsiders to verify.
Is Xpert AI actively maintained?
Actively maintained. The repository was pushed to within the last 1 day(s).
What license does Xpert AI use?
Xpert AI ships under AGPL-3.0. A declared, OSI-approved license is one of the transparency signals HVTrust scores.
Are Xpert AI's commits signed?
28% of the last 100 commits to Xpert AI are verified-signed (GPG, SSH, S/MIME, or GitHub's signing flow). Signed commits help confirm that code was authored by who the commit claims.

Not a safety endorsement. HVTracker describes what public signals show, not whether a project is safe for your use case. Run your own security review before adopting in production.

Ranked neighbours in Workflow Platforms

#19 Superagent — 40.9 (D) → #20 Activepieces — 40.4 (D) → #21 PromptFlow — 39.9 (D) → #23 Julep — 23.4 (D) →

AI agent surface

Scored in HVTrust

These runtime-trust fields — detected from public repo docs and manifests — contribute a bounded adjustment to this project's HVTrust score alongside supply-chain evidence. The exact values each field can add or subtract are documented in the methodology → Compare this surface across every listed agent in the capability matrix →

MCP Server Support
high confidence
Implemented
Xpert AI appears to expose MCP server capabilities.
Detailed evidence is not shown in the public view.
External Service Dependencies
high confidence
2 detected
Public provider/service dependencies detected.
Credential signal: No explicit API-key/config marker detected.
Tool / Plugin Surface
high confidence
Marketplace
Marketplace plugin/integration surface detected.
  • database
Detailed evidence is not shown in the public view.
Package Provenance Drift
N/A
No package source configured
Detailed evidence is not shown in the public view.
  • MCP signal live
  • External deps live
  • Tool / plugin surface live
  • Package provenance drift live

Maintain Xpert AI?

HVTrust scores Xpert AI from public signals only — we never contact maintainers first. If a signal is wrong, stale, or missing (provenance you publish, a Scorecard you run, signed releases), tell us and we'll review it. Corrections are public and tracked on GitHub.

Submit a correction → Add the trust badge

Reputation Timeline

Listed 1
2026-07-28
Newly Listed
First tracked at rank #420
GitHub →

Embed Badge Badge guide for maintainers →

HVTrust 23.7 Grade D
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Other agents in Workflow Platforms

Data sources
GitHub REST API (repo, commits, stars, forks, license)
Each agent's signals refresh once daily across 6 staggered batches. Methodology v4.2 · Raw JSON