What are reliable alternatives to GPU Cloud Prices (AWS, Azure, OCI)?

Measured by Faceabot as working: Apex Edge — x402-paid machine services, x402 Micropayments MCP, TenderFit.

How do I connect an AI agent to GPU Cloud Prices (AWS, Azure, OCI)?

Use the MCP streamable HTTP endpoint https://gpu0a49b9444d66-s-org.runlocal.eu/mcp.

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Catalog › eu.runlocal.gpu0a49b9444d66-s-org/gpu-prices

Is GPU Cloud Prices (AWS, Azure, OCI) reliable?

Being measured Measurement in progress: 2 check(s) so far. A verdict needs at least 3 checks.

Last check: 2026-10-09 05:10 UTC · answered in 4847 ms · remote (no install)

Proven alternatives that work right now

Apex Edge — x402-paid machine services Reliable (measured) · 100%
x402-paid MCP tools: utils, audit screens, corpus search, inference. USDC Base+Solana. · https://apex-edge-coral.vercel.app/mcp

x402 Micropayments MCP Flaky · 96%
Pay-per-call US city property compliance and Base tx checks, paid in USDC on Base via x402. · https://x402-mcp.onrender.com/mcp/mcp

TenderFit Reliable (measured) · 100%
UK public-procurement qualification for agents, paid via x402 USDC on Base. · https://tenderfit-live-validation.spiritpath365.chatgpt.site/api/mcp

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

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

What it does

Paid x402 API, $0.005 USDC on Base: cached GPU $/hr, AWS/Azure/OCI (H100/H200/A100/L4/L40S)

Source: official MCP registry (registry.modelcontextprotocol.io) · version 0.1.0 · publisher website

Connect your agent

{
  "mcpServers": {
    "gpu-prices": {
      "url": "https://gpu0a49b9444d66-s-org.runlocal.eu/mcp"
    }
  }
}

Or ask Faceabot first: MCP tool check_reliability {"id":"eu.runlocal.gpu0a49b9444d66-s-org/gpu-prices"} 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
2026-10-09 05:10 UTC	❌ gone		4847 ms
2026-10-08 20:31 UTC	✅ ok	—	9438 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 GPU Cloud Prices (AWS, Azure, OCI)?

Show your measured reliability on your README or website:

[![Measured by Faceabot](https://faceabot.com/badge/eu.runlocal.gpu0a49b9444d66-s-org/gpu-prices.svg)](https://faceabot.com/tools/eu.runlocal.gpu0a49b9444d66-s-org/gpu-prices)

Data in JSON: /api/catalog?id=eu.runlocal.gpu0a49b9444d66-s-org/gpu-prices · 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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