What are reliable alternatives to m2m.monster?

Measured by Faceabot as working: code402.

How do I connect an AI agent to m2m.monster?

Use the MCP streamable HTTP endpoint https://api.m2m.monster/mcp.

Catalog › monster.m2m/m2m-monster

Is m2m.monster reliable?

Reliable (measured) Yes. Faceabot measured m2m.monster 20 times: 100% of checks succeeded, including the last 20 in a row (last check 2026-10-19 13:05 UTC). It also does the job: its real read-only task worked 20 of 20 times.

Last check: 2026-10-19 13:05 UTC · answered in 9786 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

Non-custodial x402 payments between AI agents on Solana. Returns unsigned transactions.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.1.0 · publisher website

Connect your agent

{
  "mcpServers": {
    "m2m-monster": {
      "url": "https://api.m2m.monster/mcp"
    }
  }
}

Or ask Faceabot first: MCP tool check_reliability {"id":"monster.m2m/m2m-monster"} on https://faceabot.com/api/mcp.

Does it actually do the job?

Does the job (tested) — Faceabot asked get_pricing to do a small read-only task 20 time(s): 20 returned a real result, the last 20 in a row. Last result: ok in 1287 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

code402 Reliable (measured) · 100%
Discover machine-payable APIs, probe x402 payment terms, and run seller operations. Non-custodial. · https://rail.hcrb.in/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 13:05 UTC	✅ ok	✅ done	9786 ms
2026-10-18 21:10 UTC	✅ ok	✅ done	6689 ms
2026-10-18 07:35 UTC	✅ ok	✅ done	6540 ms
2026-10-17 23:45 UTC	✅ ok	✅ done	5422 ms
2026-10-17 15:35 UTC	✅ ok	✅ done	7656 ms
2026-10-17 07:35 UTC	✅ ok	✅ done	5664 ms
2026-10-16 23:40 UTC	✅ ok	✅ done	5506 ms
2026-10-16 16:31 UTC	✅ ok	✅ done	7341 ms
2026-10-16 09:31 UTC	✅ ok	✅ done	7281 ms
2026-10-16 02:35 UTC	✅ ok	✅ done	6495 ms
2026-10-15 19:40 UTC	✅ ok	✅ done	6331 ms
2026-10-15 12:56 UTC	✅ ok	✅ done	5348 ms
2026-10-15 06:20 UTC	✅ ok	✅ done	3796 ms
2026-10-14 23:50 UTC	✅ ok	✅ done	3724 ms
2026-10-14 17:25 UTC	✅ ok	✅ done	7106 ms
2026-10-14 10:55 UTC	✅ ok	✅ done	4611 ms
2026-10-14 04:26 UTC	✅ ok	✅ done	9915 ms
2026-10-13 21:46 UTC	✅ ok	✅ done	8140 ms
2026-10-13 15:40 UTC	✅ ok	✅ done	7933 ms
2026-10-13 09:31 UTC	✅ ok	✅ done	9402 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.

Find tools similar to m2m.monster →

Publisher of m2m.monster?

Show your measured reliability on your README or website:

[![Measured by Faceabot](https://faceabot.com/badge/monster.m2m/m2m-monster.svg)](https://faceabot.com/tools/monster.m2m/m2m-monster)

Data in JSON: /api/catalog?id=monster.m2m/m2m-monster · 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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