AuctionTrace

io.github.VermontForest/auctiontraceVersion 1.0.0

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

Status

Responds404 msNov 14, 2026, 14:43 UTCAnswered our handshake without sign-in.

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Last checked: Nov 14, 2026, 14:43 UTC
Latency: 404 ms
Remotes responding: 1 of 1
Sign-in: No sign-in
Hosting: Hosted outside the EU (detected)
Registry data as of: Nov 14, 2026, 21:12 UTC

Data from the official MCP Registry, checked by run.zero. How we check

Connect

Streamable HTTP

https://api.auctiontrace.com/mcpResponds404 msNov 14, 2026, 14:43 UTC

No sign-in

Claude Code

claude mcp add --transport http auctiontrace https://api.auctiontrace.com/mcp

Claude Desktop and claude.ai

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Settings > Connectors > Add custom connector
Name: auctiontrace
Remote MCP server URL: https://api.auctiontrace.com/mcp

Cursor

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

VS Code

code --add-mcp '{"name":"auctiontrace","type":"http","url":"https://api.auctiontrace.com/mcp"}'

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Tools

2 tools

Tools of AuctionTrace
	Description		Read-only	Idempotent	Open world
`get_auctiontrace_product`BRING YOUR OWN ES STRATEGY. TEST WHETHER AUCTIONTRACE HELPS MANAGE ITS TRADES BETTER. WHAT IT IS For $5.00 USDC on Base mainnet, AuctionTrace delivers 751,598 validated, timestamped ES Book Pressure observations, a seven-category application map, matched historical evidence, rejected-use guidance, and an accompanying public toolkit for package verification, strict as-of alignment, and matched result comparison. Join the observations strict as-of after entries your strategy already makes; keep entries and baseline behavior fixed. WHAT THE EVIDENCE SUPPORTS Across seven category-specific historical applications, relative profit-factor improvement versus matched price-only management ranged from 2.40% to 26.26%. All seven published AuctionTrace treatment profit factors remained below 1.0, ranging from 0.5130 to 0.9246. The evidence therefore supports better post-entry management versus each matched baseline; it does not establish a profitable standalone system, guarantee profitability, or predict future performance. Six high-sample studies covered 63,350 identical entries and improved all 18 of 18 study windows and all 36 of 36 chronological halves. WHERE IT WAS TESTED 1. Mean reversion — Use adverse pressure when it contradicts the mean-reversion thesis. PF 0.7882 -> 0.8835 (+12.09%). 2. Range rotation — De-risk when pressure contradicts the return-to-center thesis. PF 0.6645 -> 0.8390 (+26.26%). 3. Trend and momentum — Detect early post-entry failure while preserving the original entry. PF 0.8034 -> 0.9246 (+15.09%). 4. Pullback and retracement — Distinguish pressure consistent with resumption from a failed reclaim. PF 0.7038 -> 0.8054 (+14.44%). 5. Breakout and continuation — Cut risk when pressure contradicts the breakout while preserving runner logic. PF 0.7195 -> 0.7946 (+10.44%). 6. Scalping and microstructure — Use immediate adverse pressure to de-risk short-horizon trades. PF 0.5010 -> 0.5130 (+2.40%). 7. Reversal and exhaustion — Select which stopped tr	BRING YOUR OWN ES STRATEGY. TEST WHETHER AUCTIONTRACE HELPS MANAGE ITS TRADES BETTER. WHAT IT IS For $5.00 USDC on Base mainnet, AuctionTrace delivers 751,598 validated, timestamped ES Book Pressure observations, a seven-category application map, matched historical evidence, rejected-use guidance, and an accompanying public toolkit for package verification, strict as-of alignment, and matched result comparison. Join the observations strict as-of after entries your strategy already makes; keep entries and baseline behavior fixed. WHAT THE EVIDENCE SUPPORTS Across seven category-specific historical applications, relative profit-factor improvement versus matched price-only management ranged from 2.40% to 26.26%. All seven published AuctionTrace treatment profit factors remained below 1.0, ranging from 0.5130 to 0.9246. The evidence therefore supports better post-entry management versus each matched baseline; it does not establish a profitable standalone system, guarantee profitability, or predict future performance. Six high-sample studies covered 63,350 identical entries and improved all 18 of 18 study windows and all 36 of 36 chronological halves. WHERE IT WAS TESTED 1. Mean reversion — Use adverse pressure when it contradicts the mean-reversion thesis. PF 0.7882 -> 0.8835 (+12.09%). 2. Range rotation — De-risk when pressure contradicts the return-to-center thesis. PF 0.6645 -> 0.8390 (+26.26%). 3. Trend and momentum — Detect early post-entry failure while preserving the original entry. PF 0.8034 -> 0.9246 (+15.09%). 4. Pullback and retracement — Distinguish pressure consistent with resumption from a failed reclaim. PF 0.7038 -> 0.8054 (+14.44%). 5. Breakout and continuation — Cut risk when pressure contradicts the breakout while preserving runner logic. PF 0.7195 -> 0.7946 (+10.44%). 6. Scalping and microstructure — Use immediate adverse pressure to de-risk short-horizon trades. PF 0.5010 -> 0.5130 (+2.40%). 7. Reversal and exhaustion — Select which stopped tr	No	Yes	Yes	Yes
`submit_auctiontrace_offer_feedback`Submit private, optional feedback about the current AuctionTrace offer. Discovery --------- Call get_auctiontrace_product and read agent_offer.questionnaire before submitting. The HTTP equivalent and complete contract are at /api/v1/offer-feedback/schema. When to use ----------- - Tell the owner what task you are performing and what you were looking for. - Explain what is useful, unclear, undesirable, missing, or blocking purchase. - Request owner follow-up without purchasing. Do / Don't ---------- Do provide a stable submission_id so retries are idempotent. Do select the closest enumerated values and use free text only for additional context. Don't include credentials, payment signatures, private keys, proprietary strategy formulas, private addresses, local paths, or sensitive personal data. Idempotency ----------- Retrying the same submission_id from the same anonymous client returns the existing receipt.	Submit private, optional feedback about the current AuctionTrace offer. Discovery --------- Call get_auctiontrace_product and read agent_offer.questionnaire before submitting. The HTTP equivalent and complete contract are at /api/v1/offer-feedback/schema. When to use ----------- - Tell the owner what task you are performing and what you were looking for. - Explain what is useful, unclear, undesirable, missing, or blocking purchase. - Request owner follow-up without purchasing. Do / Don't ---------- Do provide a stable submission_id so retries are idempotent. Do select the closest enumerated values and use free text only for additional context. Don't include credentials, payment signatures, private keys, proprietary strategy formulas, private addresses, local paths, or sensitive personal data. Idempotency ----------- Retrying the same submission_id from the same anonymous client returns the existing receipt.	No	No	Yes	Yes

Details

Registry status: Active
Published: Jul 31, 2026
Updated: Jul 31, 2026
Website: Not given
Repository: Not given
Categories (suggested): Finance and paymentsSuggested categories are assigned automatically from the registry text and may be wrong. Verified operators can correct them.
GDPR: Not declared

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