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@devpmxt

The #1 unified API for trading across major prediction markets. @samtinnerholm @martkiro

شامل ہوئے Ocak 2026
3 فالونگ111 فالوورز
pmxt ری ٹویٹ کیا
Martin
Martin@martkiro·
Update: The Polymarket order book data dump is now much faster! I am getting 40 MB/s download speeds now I decided to migrate everything to @Cloudflare R2. This was the simplest solution to scale to many users. Cloudflare handles a lot out of the box. I don't have to worry about how to manage bandwidth. The other nice thing about R2 is that it charges per request and not per GB of egress. Thanks to @beckerrjon as well as @encrypted8532 for initially suggesting it We are still planning on using RustFS for even faster downloads. Up to 1.25GB/s. But these will be dedicated servers. We are also planning on providing dedicated @ClickHouseDB servers. A lot of people just wanna be able to fetch data on a specific market. And this would make that easy
Martin@martkiro

I didn’t expect this to blow up so much Clearly, there’s a lot of demand for this type of data and I now need to scale up the backend We got a few people reaching out, offering to help host data. This is super welcome! If anyone else wants to help out we can add you as a sponsor to our website and give you a back link to drive traffic to you Feel free to DM me or drop a message in the @devpmxt Discord Right now, the first step for us is to improve the current set up The current set up is not able to handle the load and yesterday it was crashing a lot, and even now the downloads are quite slow The plan is to migrate the data to @RustFSofficial and upgrade the server NIC. Those two change should help us handle 5-10X more downloads

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Martin
Martin@martkiro·
I just published a data dump of full order book data from @Polymarket The data is maximally granular. There is no filtering whatsoever. Every order book change and trade is saved. Across all markets Updates are hourly. Each snapshot contains ~30M rows. Snapshots are downloaded as parquet files. Each file is approx. 500MB-1GB large. The data dump is already 2B+ rows large and growing fast. But this is just part 1/3. Coming soon is a much bigger dump that also includes @Kalshi / @opinionlabsxyz / @trylimitless etc I started collecting this data because I noticed I couldn't get it from Dome API. Their historical order book data was filtered limiting its usefulness. Also now with the acquisition there's a lot of uncertainty about whether they will continue operating
Martin tweet media
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pmxt ری ٹویٹ کیا
Martin
Martin@martkiro·
I didn’t expect this to blow up so much Clearly, there’s a lot of demand for this type of data and I now need to scale up the backend We got a few people reaching out, offering to help host data. This is super welcome! If anyone else wants to help out we can add you as a sponsor to our website and give you a back link to drive traffic to you Feel free to DM me or drop a message in the @devpmxt Discord Right now, the first step for us is to improve the current set up The current set up is not able to handle the load and yesterday it was crashing a lot, and even now the downloads are quite slow The plan is to migrate the data to @RustFSofficial and upgrade the server NIC. Those two change should help us handle 5-10X more downloads
Martin@martkiro

I just published a data dump of full order book data from @Polymarket The data is maximally granular. There is no filtering whatsoever. Every order book change and trade is saved. Across all markets Updates are hourly. Each snapshot contains ~30M rows. Snapshots are downloaded as parquet files. Each file is approx. 500MB-1GB large. The data dump is already 2B+ rows large and growing fast. But this is just part 1/3. Coming soon is a much bigger dump that also includes @Kalshi / @opinionlabsxyz / @trylimitless etc I started collecting this data because I noticed I couldn't get it from Dome API. Their historical order book data was filtered limiting its usefulness. Also now with the acquisition there's a lot of uncertainty about whether they will continue operating

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toni
toni@tonitrades_·
@martkiro @Polymarket Order flow data shows some wallets were buying just before resolution, patterns that repeat too often to be luck. This will expose things people in the space have been whispering about for months.
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Clark
Clark@yf_clark·
@martkiro @Polymarket quiet good,I am recording it too,but its too hard to record multi pairs when the number became bigger,how do you solve the problem? more record machines?
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Yiannis
Yiannis@yindoh·
@martkiro @Polymarket Have run into this "historical data" issue myself and concluded this was the solution as well. Awesome job! But wait, when you say "full order book data", do you mean for a particular market? Or for ALL the markets?
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pmxt
pmxt@devpmxt·
@afozsn @martkiro Yes, we do. We’re releasing our data in three waves to ensure we can full handle the demand!
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furkan
furkan@afozsn·
@martkiro do you happen to have data going back even earlier?
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