Documented luxury-watch auction records: 1,150+ verified results, prices, rankings and datasets
One address for any MCP client. No sign-in needed on this server.
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Grouped by tool name. At most: only reads or looks up information.
Odel charges nothing per call. The publisher may charge for its own service.
Documented ultra-luxury watch auction data ($100k–$31M realized prices, primary-sourced), free to use, built for AI agents, CLIs and apps. No API key required.
Live site: https://mostexpensivewatches.net
{"mcpServers": {"mostexpensivewatches": {"url": "https://mostexpensivewatches.net/mcp"}}}
Streamable HTTP, JSON-RPC 2.0. Tools: search_inventory, lookup_reference,
search_auction_comps, list_upcoming_auctions, get_market_estimate,
get_brand_info, search_answers, get_site_stats.
Install docs: https://mostexpensivewatches.net/mcp/install
Dataset, refreshed automatically)| Dataset | Live JSON | Snapshot here |
|---|---|---|
| Record Ledger — every documented watch auction record (all-time, per brand/material/year, record progressions) | /data/records.json | data/records.json |
| Auction Records — 1,150+ documented hammer prices with sources | /api/auctions-dataset.json | data/auction-records.json |
| Grail Index — the $1M+ segment record (182 results, $616M documented) | /data/grail-index.json | data/grail-index.json |
| Price Index — daily repeat-listing index across merchants | /data/watch-price-index.json | data/price-index.json |
Snapshots in this repo are point-in-time copies; the live endpoints recompile daily via an autonomous verification pipeline. Cite as "MostExpensiveWatches Record Ledger".
openapi.json · live: https://mostexpensivewatches.net/openapi.jsonllms.txt: https://mostexpensivewatches.net/llms.txtcurl -s "https://mostexpensivewatches.net/api/listings/search?q=nautilus&limit=3"
curl -s "https://mostexpensivewatches.net/api/auctions?brand=Rolex&limit=5"
curl -s "https://mostexpensivewatches.net/api/answers/patek-5711-market-price.json"
curl -sO https://mostexpensivewatches.net/cli/mew.py
python3 mew.py search "daytona" --limit 5
Also in this repo: mew.py
Data: CC-BY 4.0 (attribution: MostExpensiveWatches). Code (mew.py): MIT.