How do I connect an AI agent to AuctionTrace?

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

Catalog › io.github.VermontForest/auctiontrace

Is AuctionTrace reliable?

Reliable (measured) Yes. Faceabot measured AuctionTrace 41 times: 100% of checks succeeded, including the last 41 in a row (last check 2026-10-19 14:15 UTC). It also does the job: its real read-only task worked 41 of 41 times.

Last check: 2026-10-19 14:15 UTC · answered in 5901 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

Historical ES Book Pressure data, matched evidence, and evaluation guidance for $5 USDC via x402.

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

Connect your agent

{
  "mcpServers": {
    "auctiontrace": {
      "url": "https://api.auctiontrace.com/mcp"
    }
  }
}

Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.VermontForest/auctiontrace"} on https://faceabot.com/api/mcp.

Does it actually do the job?

Does the job (tested) — Faceabot asked get_auctiontrace_product to do a small read-only task 41 time(s): 41 returned a real result, the last 41 in a row. Last result: ok in 2551 ms.

Sample input: {}. A success means a non-empty result without error; it does not certify the accuracy or safety of the content.

Faceabot measurements

When	Answers	Real task	Latency
2026-10-19 14:15 UTC	✅ ok	✅ done	5901 ms
2026-10-18 22:40 UTC	✅ ok	✅ done	4959 ms
2026-10-18 08:20 UTC	✅ ok	✅ done	7274 ms
2026-10-18 00:35 UTC	✅ ok	✅ done	4079 ms
2026-10-17 16:25 UTC	✅ ok	✅ done	4021 ms
2026-10-17 08:20 UTC	✅ ok	✅ done	5743 ms
2026-10-17 00:25 UTC	✅ ok	✅ done	4396 ms
2026-10-16 17:15 UTC	✅ ok	✅ done	5501 ms
2026-10-16 10:15 UTC	✅ ok	✅ done	5467 ms
2026-10-16 03:20 UTC	✅ ok	✅ done	6096 ms
2026-10-15 20:31 UTC	✅ ok	✅ done	4227 ms
2026-10-15 13:41 UTC	✅ ok	✅ done	3538 ms
2026-10-15 07:00 UTC	✅ ok	✅ done	5164 ms
2026-10-15 00:30 UTC	✅ ok	✅ done	3160 ms
2026-10-14 18:05 UTC	✅ ok	✅ done	5714 ms
2026-10-14 11:35 UTC	✅ ok	✅ done	3504 ms
2026-10-14 05:06 UTC	✅ ok	✅ done	7816 ms
2026-10-13 22:21 UTC	✅ ok	✅ done	8459 ms
2026-10-13 16:15 UTC	✅ ok	✅ done	6127 ms
2026-10-13 10:06 UTC	✅ ok	✅ done	8827 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 AuctionTrace →

Publisher of AuctionTrace?

Show your measured reliability on your README or website:

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

Data in JSON: /api/catalog?id=io.github.VermontForest/auctiontrace · 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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