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Is Upgrade X-Ray: npm & PyPI dependency update diff reliable?

Private (key required) Upgrade X-Ray: npm & PyPI dependency update diff answers but requires credentials, so Faceabot cannot test it anonymously. It is not counted as failing.

Last check: 2026-10-16 10:30 UTC · answered in 3822 ms · remote (no install)

Proven alternatives that work right now

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Vigía Flaky · 75%
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dep-diff-mcp Reliable (measured) · 100%
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Picked from Faceabot's live measurements. Or let Faceabot choose: GET https://faceabot.com/resolve?need=…

En français : Accès privé (clé requise). Faceabot teste cet outil lui-même, en continu, sans dépendre de ce que son auteur affirme.

What it does

Diff two npm/PyPI versions or lockfiles: new install scripts, network/shell/eval calls, new deps.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 0.1.7 · publisher website
Connect your agent
{
  "mcpServers": {
    "upgrade-xray": {
      "url": "https://mcp.apify.com/?tools=cybernative-ai/upgrade-xray"
    }
  }
}
Or ask Faceabot first: MCP tool check_reliability {"id":"ai.cybernative/upgrade-xray"} on https://faceabot.com/api/mcp.
Does it actually do the job?

Not tested with a real task yet. Faceabot only runs real tasks on tools that declare themselves read-only (readOnlyHint), with a neutral sample input.

Faceabot measurements
WhenAnswersReal taskLatency
2026-10-16 10:30 UTC❌ auth_required3822 ms
Method: MCP initialize then tools/list from Faceabot (FaceabotProbe/1.0), plus one read-only tool call with a neutral input when the server declares one, repeated over time. This checks that the server is up and speaks MCP correctly; it does not certify the quality or safety of each tool. How measurement works.

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Data in JSON: /api/catalog?id=ai.cybernative/upgrade-xray · Stop probes: POST /api/reliability/opt-out

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