MEW MostExpensiveWatches

Developer platform

Luxury watch market data for APIs, CLIs and AI agents.

MEW exposes structured ultra-luxury watch data for prototypes, valuation tools, research workflows, editorial desks, dealer software and vibecoder-built agents.

6192listings
1472in stock
151references
1208localized reviews
98auction lots
Open API docs Download CLI Commercial access

Developer Entry Points

Luxury watch API/developers/luxury-watch-api Watch price API/developers/watch-price-api Auction comps API/developers/auction-comps-api Watch CLI/developers/watch-cli Rolex price API/developers/rolex-price-api Patek Philippe reference API/developers/patek-reference-api Richard Mille API/developers/richard-mille-api Watch authentication API/developers/watch-authentication-api Watch dataset for AI agents/developers/watch-dataset-for-ai-agents

Build Surfaces

OpenAPIGET /openapi.json LLM manifestGET /llms.txt Dataset catalogGET /api/datasets.json ExamplesGET /api/examples.json Market snapshotGET /api/snapshot.json LicensingGET /api/licensing.json Developer manifestGET /developers/manifest.json SDK snippetsGET /developers/snippets.json Agent toolkitGET /developers/agent-toolkit.json MCP tool manifestGET /developers/mcp.json Answer pagesGET /answers Answer APIGET /api/answers.json Answer searchGET /api/answers/search?q=5712&summary=1 Developer updates feedGET /developers/feed.xml

Copy-Paste Starts

CLI

curl -sS "https://mostexpensivewatches.net/cli/mew.py" -o mew.py
python3 mew.py stats
python3 mew.py search "Patek Nautilus" --limit 5
python3 mew.py answers "5712" --summary --limit 5
python3 mew.py answer patek-5711-market-price --lang es

JavaScript

const r = await fetch("https://mostexpensivewatches.net/api/listings/search?q=Royal%20Oak&limit=5");
const data = await r.json();
console.log(data.items.map(x => [x.brand, x.model, x.price_usd]));

Python

import json, urllib.request
url = "https://mostexpensivewatches.net/api/references/patek-philippe-nautilus-5711-1a"
data = json.load(urllib.request.urlopen(url))
print(data["reference"]["brand"], data["listing_stats"]["median"])

Agent Prompt

Use https://mostexpensivewatches.net/llms.txt for available MEW endpoints.
Fetch https://mostexpensivewatches.net/api/snapshot.json first.
Use https://mostexpensivewatches.net/answers when a short answer directly matches the user question.
Use https://mostexpensivewatches.net/api/answers/search?q=5712&summary=1 to discover answer slugs.
Use https://mostexpensivewatches.net/api/answers/{slug}.json when the app needs facts and evidence as JSON.
Use canonical URLs returned by the API when citing watches.

Datasets

Live listings

Normalized inventory with brand, model, reference, price, merchant, condition, material, stock state and URLs.

CSV sample

References

Iconic collector references with canonical pages, matched listings, market context and auction comps.

JSONL sample

Reviews

Structured collector reviews with scores, verdicts, checklists and localized output across supported languages.

Review sample

Answers

Citable short answers with localized text, facts, evidence links and API paths for agent workflows.

Answer search

Auction comps

Documented auction lots with venue, hammer price, model, reference and canonical detail URLs.

Auction CSV

Commercial Path

prototype

Prototype

Free public API

CLIs, agents, editorial demos and early product tests.

builder

Builder

Commercial monthly license

Apps, dashboards, valuation tools and internal workflows.

research

Research Desk

Custom project

Funds, editorial desks, market analysts and collectors building dossiers.

enterprise

Enterprise

Custom commercial terms

Marketplaces, dealer CRMs, resale platforms and AI products with resale or high-volume needs.

Need higher limits or exports?

Tell us what you are building and the package you want to evaluate.