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mostexpensivewatches

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streamable-httpupdated 1mo ago

Documented ultra-luxury watch auction data ($100kโ€“$31M realized prices, primary-sourced), free to use, built for AI agents, CLIs and apps. No API key required.

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What can you do with mostexpensivewatches?

MostExpensiveWatches โ€” watch auction records API, dataset, MCP server & CLI

Documented ultra-luxury watch auction data ($100kโ€“$31M realized prices, primary-sourced), free to use, built for AI agents, CLIs and apps. No API key required.

Live site: https://mostexpensivewatches.net

For AI agents โ€” MCP server (one line of config)

{"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

Datasets (CC-BY 4.0, schema.org Dataset, refreshed automatically)

Dataset Live JSON Snapshot here
Record Ledger โ€” every documented watch auction record (all-time, per brand/material/year, record progressions) /data/records.json data/records.json
Auction Records โ€” 1,150+ documented hammer prices with sources /api/auctions-dataset.json data/auction-records.json
Grail Index โ€” the $1M+ segment record (182 results, $616M documented) /data/grail-index.json data/grail-index.json
Price Index โ€” 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".

API (43 endpoints, no key)

curl -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"

CLI (dependency-free Python)

curl -sO https://mostexpensivewatches.net/cli/mew.py
python3 mew.py search "daytona" --limit 5

Also in this repo: mew.py

Human surfaces the data powers

License

Data: CC-BY 4.0 (attribution: MostExpensiveWatches). Code (mew.py): MIT.