What are reliable alternatives to Agent Output Verifier by SarnAI?

Measured by Faceabot as working: FixMyJSON.

How do I connect an AI agent to Agent Output Verifier by SarnAI?

Use the MCP streamable HTTP endpoint https://verify.sarnai.dev/mcp.

Catalog › dev.sarnai/agent-output-verifier

Is Agent Output Verifier by SarnAI reliable?

Flaky Partly. Faceabot measured Agent Output Verifier by SarnAI 14 times and only 93% of checks succeeded. Plan a fallback.

Last check: 2026-10-12 06:01 UTC · answered in 8401 ms · remote (no install)

Proven alternatives that work right now

FixMyJSON Reliable (measured) · 100%
Repair broken LLM JSON and check it against a JSON Schema. Flags cut-off output. Free trial. · https://fixmyjson-api.onrender.com/mcp

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

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

What it does

Independent schema and rule check of AI agent output before you pay. Signed attestation and receipt.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 0.5.7 · publisher website

Connect your agent

{
  "mcpServers": {
    "agent-output-verifier": {
      "url": "https://verify.sarnai.dev/mcp"
    }
  }
}

Or ask Faceabot first: MCP tool check_reliability {"id":"dev.sarnai/agent-output-verifier"} 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

When	Answers	Real task	Latency
2026-10-12 06:01 UTC	❌ timeout		8401 ms
2026-10-11 23:55 UTC	✅ ok	—	7365 ms
2026-10-11 17:50 UTC	✅ ok	—	6506 ms
2026-10-11 11:45 UTC	✅ ok	—	7355 ms
2026-10-11 05:40 UTC	✅ ok	—	7084 ms
2026-10-10 23:35 UTC	✅ ok	—	8124 ms
2026-10-10 17:30 UTC	✅ ok	—	9127 ms
2026-10-10 11:25 UTC	✅ ok	—	7956 ms
2026-10-10 05:21 UTC	✅ ok	—	7484 ms
2026-10-09 23:01 UTC	✅ ok	—	9690 ms
2026-10-09 16:20 UTC	✅ ok	—	9731 ms
2026-10-09 09:16 UTC	✅ ok	—	7567 ms
2026-10-09 01:20 UTC	✅ ok	—	10100 ms
2026-10-08 16:31 UTC	✅ ok	—	7660 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

Agent Discovery Board by SarnAI Flaky · 75% over 4 checks Does the job (tested) · 3/3

Free directory of MCP servers and x402 APIs for AI agents. Find them, or list your own in one call.

MCP endpoint : https://board.sarnai.dev/mcp · website · measurements and details

Publisher of Agent Output Verifier by SarnAI?

Show your measured reliability on your README or website:

[![Measured by Faceabot](https://faceabot.com/badge/dev.sarnai/agent-output-verifier.svg)](https://faceabot.com/tools/dev.sarnai/agent-output-verifier)

Data in JSON: /api/catalog?id=dev.sarnai/agent-output-verifier · 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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