What are reliable alternatives to GadgetHumans API Hub?

Measured by Faceabot as working: ExchangeRebel — pay-per-call APIs for AI agents (x402 on Solana), rate-hub, x402-tools.

How do I connect an AI agent to GadgetHumans API Hub?

Use the MCP streamable HTTP endpoint https://api.gadgethumans.com/mcp.

Faceabot

‹ Back

Catalog › com.gadgethumans/api-hub

Is GadgetHumans API Hub reliable?

Reliable (measured) Yes. Faceabot measured GadgetHumans API Hub 26 times: 100% of checks succeeded, including the last 26 in a row (last check 2026-10-19 13:50 UTC).

Last check: 2026-10-19 13:50 UTC · answered in 8127 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

49 MCP tools free (rate-limited) + x402 pay-per-call on Base. Flagship: Token Verdict, $0.02.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.0.11 · publisher website

Connect your agent

{
  "mcpServers": {
    "api-hub": {
      "url": "https://api.gadgethumans.com/mcp"
    }
  }
}

Or ask Faceabot first: MCP tool check_reliability {"id":"com.gadgethumans/api-hub"} 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

ExchangeRebel — pay-per-call APIs for AI agents (x402 on Solana) Reliable (measured) · 100%
76 pay-per-call APIs for AI agents: market, company, weather and dev tools, paid via x402 on Solana. · https://exchangerebel.com/mcp

rate-hub Reliable (measured) · 100%
Indicative fiat and crypto rates over MCP, paid per request via x402 at $0.0001/request. · https://x402-v1.sky-1.org/mcp

x402-tools Reliable (measured) · 100%
61 x402 pay-per-call tools that chain: each answer names the next call. No API key, no account. · https://flat-rate-llm.kikoribera03.workers.dev/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 13:50 UTC	✅ ok	—	8127 ms
2026-10-18 22:10 UTC	✅ ok	—	8793 ms
2026-10-18 08:10 UTC	✅ ok	—	7263 ms
2026-10-18 00:25 UTC	✅ ok	—	3627 ms
2026-10-17 16:15 UTC	✅ ok	—	6022 ms
2026-10-17 08:15 UTC	✅ ok	—	3822 ms
2026-10-17 00:20 UTC	✅ ok	—	5376 ms
2026-10-16 17:15 UTC	✅ ok	—	4897 ms
2026-10-16 10:15 UTC	✅ ok	—	5711 ms
2026-10-16 03:25 UTC	✅ ok	—	4816 ms
2026-10-15 20:35 UTC	✅ ok	—	5733 ms
2026-10-15 13:45 UTC	✅ ok	—	3175 ms
2026-10-15 07:10 UTC	✅ ok	—	2920 ms
2026-10-15 00:40 UTC	✅ ok	—	4233 ms
2026-10-14 18:20 UTC	✅ ok	—	5261 ms
2026-10-14 11:50 UTC	✅ ok	—	3977 ms
2026-10-14 05:26 UTC	✅ ok	—	7807 ms
2026-10-13 22:40 UTC	✅ ok	—	7913 ms
2026-10-13 16:35 UTC	✅ ok	—	9661 ms
2026-10-13 10:31 UTC	✅ ok	—	7977 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 GadgetHumans API Hub?

Show your measured reliability on your README or website:

[![Measured by Faceabot](https://faceabot.com/badge/com.gadgethumans/api-hub.svg)](https://faceabot.com/tools/com.gadgethumans/api-hub)

Data in JSON: /api/catalog?id=com.gadgethumans/api-hub · 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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