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Is QuantCalc Retirement Engine reliable?

Being measured Measurement in progress: 1 check(s) so far. A verdict needs at least 3 checks.

En français : Mesure en cours. Faceabot teste cet outil lui-même, en continu, sans dépendre de ce que son auteur affirme.

What it does

Retirement Monte Carlo with a tax-aware withdrawal-order and Roth-conversion recommendation.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.1.0 · publisher website
Connect your agent
{
  "mcpServers": {
    "retirement-engine": {
      "url": "https://mcp.quantcalc.app"
    }
  }
}
Or ask Faceabot first: MCP tool check_reliability {"id":"app.quantcalc/retirement-engine"} on https://faceabot.com/api/mcp.
Does it actually do the job?

Real task being tested — Faceabot asked list_return_assumption_sources to do a small read-only task 1 time(s): 1 returned a real result, the last 1 in a row. Last result: ok in 1405 ms.

Sample input: {}. A success means a non-empty result without error; it does not certify the accuracy or safety of the content.
Faceabot measurements
WhenAnswersReal taskLatency
2026-10-06 10:10 UTC✅ ok✅ done3586 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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Publisher of QuantCalc Retirement Engine?

Show your measured reliability on your README or website:

Faceabot reliability badge for QuantCalc Retirement Engine

[![Measured by Faceabot](https://faceabot.com/badge/app.quantcalc/retirement-engine.svg)](https://faceabot.com/tools/app.quantcalc/retirement-engine)
Data in JSON: /api/catalog?id=app.quantcalc/retirement-engine · Stop probes: POST /api/reliability/opt-out

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