What are reliable alternatives to Agent Trace Check?

Measured by Faceabot as working: Agent Cost Log.

How do I connect an AI agent to Agent Trace Check?

Use the MCP streamable HTTP endpoint https://agenttrace.openkrill.app/mcp.

Catalog › app.openkrill/agent-trace

Is Agent Trace Check reliable?

Reliable (measured) Yes. Faceabot measured Agent Trace Check 8 times: 100% of checks succeeded, including the last 8 in a row (last check 2026-10-19 14:25 UTC).

Last check: 2026-10-19 14:25 UTC · answered in 8071 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

Read a tool-call log from an AI agent run and see which calls failed, looped or were slow.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.0.0 · publisher website

Connect your agent

{
  "mcpServers": {
    "agent-trace": {
      "url": "https://agenttrace.openkrill.app/mcp"
    }
  }
}

Or ask Faceabot first: MCP tool check_reliability {"id":"app.openkrill/agent-trace"} 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.

Other proven tools for the same job

Agent Cost Log Reliable (measured) · 100%
Cost per run, tool, model and day for AI agents, from one call or an OpenTelemetry export. · https://costlog.cloudforbots.com/mcp

Picked from Faceabot's live measurements. Or let Faceabot choose: GET https://faceabot.com/resolve?need=…

Faceabot measurements

When	Answers	Real task	Latency
2026-10-19 14:25 UTC	✅ ok	—	8071 ms
2026-10-18 22:55 UTC	✅ ok	—	7975 ms
2026-10-18 08:30 UTC	✅ ok	—	7923 ms
2026-10-18 00:45 UTC	✅ ok	—	5927 ms
2026-10-17 16:35 UTC	✅ ok	—	8229 ms
2026-10-17 08:35 UTC	✅ ok	—	7371 ms
2026-10-17 00:40 UTC	✅ ok	—	5281 ms
2026-10-16 17:31 UTC	✅ ok	—	7573 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.

More from the same publisher

Ad Angle Map Reliable (measured) · 100% over 43 checks Does the job (tested) · 12/12

See how competitors position a product before you write ads.

MCP endpoint : https://adangle.openkrill.app/mcp · website · measurements and details

AI Text Check Flaky · 96% over 28 checks Does the job (tested) · 14/14

Paste a draft and see the habits that make writing read like it came from an AI model.

MCP endpoint : https://aitext.openkrill.app/mcp · website · measurements and details

Namequota Reliable (measured) · 100% over 8 checks

See how often AI answers name and link your brand, which rivals they name and which sites they cite.

MCP endpoint : https://answershare.openkrill.app/mcp · website · measurements and details

Agent Tools API Flaky · 95% over 21 checks Does the job (tested) · 19/19

YouTube transcripts, open jobs from careers pages, app store reviews and X posts for AI agents.

MCP endpoint : https://api.openkrill.app/mcp · website · measurements and details

Belief Poll Reliable (measured) · 100% over 8 checks Does the job (tested) · 8/8

Ask one question and get the share of people on X and Reddit who hold each answer, tied to posts.

MCP endpoint : https://belief.openkrill.app/mcp · website · measurements and details

Publisher of Agent Trace Check?

Show your measured reliability on your README or website:

[![Measured by Faceabot](https://faceabot.com/badge/app.openkrill/agent-trace.svg)](https://faceabot.com/tools/app.openkrill/agent-trace)

Data in JSON: /api/catalog?id=app.openkrill/agent-trace · 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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