How do I connect an AI agent to Paxie.Matrix Data API?

Use the MCP streamable HTTP endpoint https://api.paxie.fun/mcp.

Catalog › fun.paxie.api/data

Is Paxie.Matrix Data API reliable?

Q: What are reliable alternatives to Paxie.Matrix Data API?

Measured by Faceabot as working: Toll — coin checks on Robinhood Chain, Arc, BSC and Solana, token-operations, steve-guard.

Reliable (measured) Yes. Faceabot measured Paxie.Matrix Data API 34 times: 100% of checks succeeded, including the last 34 in a row (last check 2026-10-19 15:55 UTC).

Last check: 2026-10-19 15:55 UTC · answered in 9400 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

Memecoin intel for agents: Robinhood Chain + Solana bursts, rug checks, call verdicts. Pay via x402.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.2.0 · publisher website

Connect your agent

{
  "mcpServers": {
    "data": {
      "url": "https://api.paxie.fun/mcp"
    }
  }
}

Or ask Faceabot first: MCP tool check_reliability {"id":"fun.paxie.api/data"} 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

Toll — coin checks on Robinhood Chain, Arc, BSC and Solana Reliable (measured) · 100%
Coin checks on Robinhood Chain, Arc, BSC and Solana: snipers, bundles, dev records, new launches. · https://t0ll.xyz/mcp

token-operations Reliable (measured) · 100%
Read-only Solana and Robinhood Chain tools: wallet recovery, token safety, unlocks, upgrades, fees. · https://api.xroot.dev/mcp

steve-guard Reliable (measured) · 100%
Solana + Robinhood-Chain token safety & net-USD accumulation intel for trading agents. · https://api.stevesignals.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 15:55 UTC	✅ ok	—	9400 ms
2026-10-19 01:05 UTC	✅ ok	—	6451 ms
2026-10-18 09:45 UTC	✅ ok	—	7876 ms
2026-10-18 01:45 UTC	✅ ok	—	6883 ms
2026-10-17 17:40 UTC	✅ ok	—	7865 ms
2026-10-17 09:35 UTC	✅ ok	—	6423 ms
2026-10-17 01:40 UTC	✅ ok	—	5983 ms
2026-10-16 18:25 UTC	✅ ok	—	7537 ms
2026-10-16 11:25 UTC	✅ ok	—	5648 ms
2026-10-16 04:30 UTC	✅ ok	—	7029 ms
2026-10-15 21:40 UTC	✅ ok	—	5516 ms
2026-10-15 14:50 UTC	✅ ok	—	4149 ms
2026-10-15 08:11 UTC	✅ ok	—	4912 ms
2026-10-15 01:45 UTC	✅ ok	—	2722 ms
2026-10-14 19:20 UTC	✅ ok	—	6126 ms
2026-10-14 12:50 UTC	✅ ok	—	3871 ms
2026-10-14 06:26 UTC	✅ ok	—	8757 ms
2026-10-13 23:41 UTC	✅ ok	—	8478 ms
2026-10-13 17:35 UTC	✅ ok	—	9931 ms
2026-10-13 11:31 UTC	✅ ok	—	9945 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.

Publisher of Paxie.Matrix Data API?

Show your measured reliability on your README or website:

[![Measured by Faceabot](https://faceabot.com/badge/fun.paxie.api/data.svg)](https://faceabot.com/tools/fun.paxie.api/data)

Data in JSON: /api/catalog?id=fun.paxie.api/data · 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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