What are reliable alternatives to call402 — x402 Agent Services?

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

How do I connect an AI agent to call402 — x402 Agent Services?

Use the MCP streamable HTTP endpoint https://call402.com/mcp.

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Catalog › io.github.lgs1520/call402

Is call402 — x402 Agent Services reliable?

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

Last check: 2026-10-19 16:35 UTC · answered in 8647 ms · remote (no install)

Proven alternatives that work right now

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

Agent Harbor pay-per-call tools Reliable (measured) · 100%
Pay-per-call company, SEC, recall, package and domain lookups, PDF to markdown, site audits (x402) · https://x402.agentharbor.agency/mcp

AgentKit x402 - pay-per-call tools for agents Flaky · 86%
Email, DNS, SPF/DMARC, site contacts, Markdown, IBAN, Swedish validators. Pay per call (x402). · https://agentkit-x402.erikssonanton2001.workers.dev/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

x402 pay-per-call APIs for agents: web search, wallet/token checks, text structuring.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.0.0 · publisher website

Connect your agent

{
  "mcpServers": {
    "call402": {
      "url": "https://call402.com/mcp"
    }
  }
}

Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.lgs1520/call402"} 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
2026-10-19 16:35 UTC	✅ ok	—	8647 ms
2026-10-19 02:00 UTC	✅ ok	—	8018 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

Agent Procurement Manager (APM) Reliable (measured) · 100% over 3 checks

Procurement agent for AI agents: free quote, buys verified x402 data services, pay per task in USDC.

MCP endpoint : https://humming-moonstone-galleria.ngrok-free.dev/mcp · website · measurements and details

Publisher of call402 — x402 Agent Services?

Show your measured reliability on your README or website:

[![Measured by Faceabot](https://faceabot.com/badge/io.github.lgs1520/call402.svg)](https://faceabot.com/tools/io.github.lgs1520/call402)

Data in JSON: /api/catalog?id=io.github.lgs1520/call402 · 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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