What are reliable alternatives to Lumen Agent Utilities?

Measured by Faceabot as working: canonicalhash, x402 endpoint checker.

How do I connect an AI agent to Lumen Agent Utilities?

Use the MCP streamable HTTP endpoint https://lumenworks-x402-decoder.onrender.com/mcp.

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Catalog › io.github.Dansgit2b/lumenworks-decoder

Is Lumen Agent Utilities reliable?

Flaky Partly. Faceabot measured Lumen Agent Utilities 5 times and only 80% of checks succeeded. Plan a fallback.

Last check: 2026-10-11 11:25 UTC · answered in 586 ms · remote (no install)

Proven alternatives that work right now

canonicalhash Reliable (measured) · 100%
Deterministic JSON hashing and EIP-712 attestations for AI agents via x402. · https://canonicalhash-production.up.railway.app/mcp

x402 endpoint checker Reliable (measured) · 100%
Test any x402 paid URL without paying: 402, PAYMENT-REQUIRED, USDC, amounts, payTo, EIP-712, CORS. · https://x402-seller-kit.soloearn.workers.dev/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

x402 agent tools: calldata/EIP-712/x402 decoders, web→MD, ENS, DNS, PubMed, arXiv, SEC, weather

Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.4.0 · publisher website

Connect your agent

{
  "mcpServers": {
    "lumenworks-decoder": {
      "url": "https://lumenworks-x402-decoder.onrender.com/mcp"
    }
  }
}

Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.Dansgit2b/lumenworks-decoder"} 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
2026-10-11 11:25 UTC	❌ gone		586 ms
2026-10-11 05:21 UTC	✅ ok	—	6857 ms
2026-10-10 23:15 UTC	✅ ok	—	6353 ms
2026-10-10 17:10 UTC	✅ ok	—	8365 ms
2026-10-10 11:01 UTC	✅ ok	—	9537 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

Lumen Pre-Sign Check Flaky · 80% over 5 checks

Use before signing an EVM tx or EIP-712 message: risk flags + verdict. Informational, no simulation

MCP endpoint : https://lumenworks-x402-decoder.onrender.com/mcp/presign · website · measurements and details

Publisher of Lumen Agent Utilities?

Show your measured reliability on your README or website:

[![Measured by Faceabot](https://faceabot.com/badge/io.github.Dansgit2b/lumenworks-decoder.svg)](https://faceabot.com/tools/io.github.Dansgit2b/lumenworks-decoder)

Data in JSON: /api/catalog?id=io.github.Dansgit2b/lumenworks-decoder · 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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