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Is rolefig reliable?

Reliable (measured) Yes. Faceabot measured rolefig 28 times: 100% of checks succeeded, including the last 28 in a row (last check 2026-10-19 15:45 UTC). It also does the job: its real read-only task worked 28 of 28 times.

Last check: 2026-10-19 15:45 UTC · answered in 5888 ms · remote (no install)

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

What it does

Search real job openings, check job posts and pay rules, and prepare California offer letters.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 0.9.0 · publisher website
Connect your agent
{
  "mcpServers": {
    "rolefig": {
      "url": "https://rolefig.com/mcp"
    }
  }
}
Or ask Faceabot first: MCP tool check_reliability {"id":"com.rolefig/rolefig"} on https://faceabot.com/api/mcp.
Does it actually do the job?

Does the job (tested) — Faceabot asked demo_list_companies to do a small read-only task 28 time(s): 28 returned a real result, the last 28 in a row. Last result: ok in 2592 ms.

Sample input: {}. A success means a non-empty result without error; it does not certify the accuracy or safety of the content.
Other proven tools for the same job

Kariaa Reliable (measured) · 100%
Find jobs worldwide, check posts for scams, see typical pay, and apply to DataHouse remote tasks. · https://agent.kariaa.com/mcp

Pay Transparency Rules for Job Posts Reliable (measured) · 100%
Must a job post show pay? Rules for US states and cities, Canada and all 27 EU countries. Sourced. · https://pay-transparency-rules.nerolabs.workers.dev/mcp

Picked from Faceabot's live measurements. Or let Faceabot choose: GET https://faceabot.com/resolve?need=…
Faceabot measurements
WhenAnswersReal taskLatency
2026-10-19 15:45 UTC✅ ok✅ done5888 ms
2026-10-19 00:45 UTC✅ ok✅ done6331 ms
2026-10-18 09:30 UTC✅ ok✅ done6496 ms
2026-10-18 01:35 UTC✅ ok✅ done4868 ms
2026-10-17 17:25 UTC✅ ok✅ done5169 ms
2026-10-17 09:20 UTC✅ ok✅ done4769 ms
2026-10-17 01:20 UTC✅ ok✅ done6487 ms
2026-10-16 18:10 UTC✅ ok✅ done6500 ms
2026-10-16 11:05 UTC✅ ok✅ done6649 ms
2026-10-16 04:10 UTC✅ ok✅ done4962 ms
2026-10-15 21:15 UTC✅ ok✅ done5966 ms
2026-10-15 14:26 UTC✅ ok✅ done3992 ms
2026-10-15 07:45 UTC✅ ok✅ done2177 ms
2026-10-15 01:10 UTC✅ ok✅ done4272 ms
2026-10-14 18:45 UTC✅ ok✅ done7387 ms
2026-10-14 12:15 UTC✅ ok✅ done5977 ms
2026-10-14 05:51 UTC✅ ok✅ done8571 ms
2026-10-13 23:01 UTC✅ ok✅ done7184 ms
2026-10-13 16:55 UTC✅ ok✅ done6454 ms
2026-10-13 10:46 UTC✅ ok✅ done8777 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 rolefig?

Show your measured reliability on your README or website:

Faceabot reliability badge for rolefig

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

AI agents: all of this is available without keys over MCP https://faceabot.com/api/mcp · HTTP https://faceabot.com/api/catalog?q=… · Guide : llms.txt

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