Open, independent market data on second-hand synthesizers across Europe.
Free to access. Free to use. Free to build on.
What is this?
We monitor public listings on Hispasonic, Noiz, Soundsmarket and Audiofanzine, and integrate selected listings from eBay daily, normalise every listing with a machine learning classifier, and compute percentile statistics (P25/P50/P75) from thousands of real transactions. The result is a continuously updated, open dataset on what synthesizers actually sell for in European markets.
All data is published under CC-BY-4.0 — use it, share it, build with it. No paywall, no API key required.
Recent listings from all monitored marketplaces.
Expansion boards, spare parts, manuals and more. Browse full catalogue →
Research and findings from the Observatory's data.
First quarterly report coming soon
State of the European Used Synthesizer Market — Q2 2026 is in preparation. Subscribe to the RSS feed to receive it when published.
Explore analyses →Every price record, every fair-price calculation, every market trend is published as an open dataset under the Creative Commons Attribution 4.0 International (CC-BY-4.0) licence. No registration. No API key. Download and use.
Build your own tools, do your own research, integrate into your shop or app. The only requirement: attribute the source.
Every number on this site can be traced back to a real listing.
We crawl public marketplace listings with respectful rate limits and full robots.txt compliance. We collect only publicly visible listing data — titles, prices, dates, condition. No personal data is stored beyond what is in the public listing.
Every listing is classified automatically — instrument vs accessory, canonical model name extraction, condition normalisation. The classifier is trained on thousands of annotated listings and continuously reviewed for accuracy.
Fair prices are computed as P25/P50/P75 percentiles across all active and recent listings per canonical model. Minimum 5 data points required for a stable estimate. Percentiles resist outliers and inflated asking prices better than averages.
Stay informed
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