We give away our data everywhere. All the time. When we watch TV (or Netflix), buy something in the supermarket, make a call, check social media, take a run with our smartwatch and browse the web for a new tech-toy. Who owns this data? Not us, that is for sure. We believe this should change, we believe in more transparency while preserving privacy. The choice to opt out, opt in, give away or sell our data should be ours!

Online identity and reputation will be decentralized.
We will own the data that belongs to us.

William Mougayar


A distributed public ledger like Bitcoin and Ethereum allow everyone to participate, hence 'permissionless' blockchains. Every transaction is broadcasted to everyone in the network, so those who participate, can verify everything that goes on. These ledgers should be considered the biggest public transactional databases in the world.
  • Data is proof. Everything is stored. Is all this data good for us? What if certain data is never removed? What if all our interactions are kept, forever? Proof of work. Proof of stake. Proof of life, through data?

  • Who are we online? Who am I, who are you? Who knows us? Who tracks us? Is it allowed to be anonymous? Can we buy something privately online? Should we?

  • Exclude bad actors. What if someone misbehaves? How is your online reputation? Who decides? Should anyone ever get excluded? Permanently? Should blacklists exists?

  • AI and Robots. Should we embrace more decisions taken by algorithms. AI a blessing, or a threat? AI consumes data, will they ever have enough? What if we loose control and robots take over?

I am excited and scared at the same time because data is becoming so powerful in our online world. A world where everything is connected, where fake and fact are fighting for attention, where AI makes our decisions and increasingly more is stored in immutable blockchains.

Allard Couwenberg
Public Blockchains
Bitcoin Blocks
Bitcoin blockchain size
Ethereum blockchain size


The Bitcoin blockchain contains numerous financial transactions, but also timestamping and meta-data are sometimes stored on this immutable database. The Ethereum blockchain has even more data stored; complex smart contracts and a great deal of ERC20 custom token interaction: from Cryptokitties to digital art to betting, staking and food-related swaps. Wtf is going on?

Allard CouwenbergCreator of datasets

Allard is a data-guru with years of experience in business intelligence. He is a master in QlikView and can do magic with numbers. Most data he works with is either corperate, closed, private, siloed or all of those.

Following the blockchain business ‘block by block’ he believes aggregations and charts help with bridging raw uncomprehesible data into usefull datasets and quicker insights.

Aggregated blockchain transactionsOften all you need is a SUM, COUNT or AVG

Charts show us what's going onEveryone can read bar-charts

Dataset #1

Ocean Marketplace hourly activity and liquidity charts

Bridging.tech's first dataset - Created by Allard

The idea to create this dataset came from the realization that many of the projects building on ethereum have an excellent operational side, a lively community and much data. Allard believes something important is missing though; quick to read charts and tables with totals.

After downloading Ethereum transactions for each of the datasets offered in the Ocean Marketplace, these transactions were grouped into a single dataset giving anyone who is interested a better grip on each of the datasets and the marketplace overall.


our first dataset on the Ocean marketplace

WHAT?What does this set contain?

This dataset gives insight in the hourly activity for popular data pools available in the Ocean marketplace. It shows the liquidity trend so users can analyse marketplace dynamics. Also hourly totals are included for the number of transactions, unique users involved and of course the number of times a dataset is bought. This dataset contains a big table (.CSV format) for all metrics and charts (.PDF) for the $OCEAN liquidity.

Please see below section on a more detailed description of it’s content, updates and future plans.

WHY?Why would someone need this? Why do this?

The ‘automated price discovery’ is relatively new and unpredictable, because users are allowed to buy and ‘boost’ or ‘retract’ their liquidity from a dataset; the price of these datasets continues to change.

Example benefits or insights could be:
> See how much attention and liquidity new datasets get on the marketplace
> See how your favorite dataset moves through time
> See liquidity trends and distingues differences between a ‘rugpull’ and a ‘dataset gem’

DisclaimerMarket and dataset are experimental, so be careful

We do our best to provide quality content, on our website, in our meetings and also within this dataset, however we cannot make any guarantees about quality, correctness or be responsible for people’s liquidity staked in any pool.

Bridging.tech exists purely on volunteers and are driven by their enthousiasm and confidence that new technology can help us. We do not give financial advise. We urge everyone to stay safe, never participate in anything they do not fully understand and take responsibility of the risks.

Version 1 – 17-Nov-2020


37 datapools included

7065 lines

From: 27-oct-2020 18:00 (CET)

To: 16-nov-2020 00:00 (CET)

This dataset is powered by Etherscan.io APIs

Table 1: Activity and Liquidity

> .CSV file format
> Data pool
> 1 hr timeframes (since creation)
> Pool (ref, addr)
> Time since creation (hrs, days)
Ocean and Datatoken metrics:
> Transactions (in, out)
> Liquidity (in, out)
> Users (number of unique eth addresses involved; in, out)
> Data buys (datatoken = 1)
Hourly averages:
> Ocean liquidity per user (in, out)
> Ocean liquidity per Tx (in, out)
> Ocean liquidity
> Datatokens

Report 1: Charts per datapool

> .PDF file format
> 4 hr timeframe
Generic overview page
> Chart: transactions and users per day
> Table: totals per datapool
Datapool specific pages
> Chart: liquidity in, liquidity out and $Ocean in the pool
> Table: totals for that datapool

Version 1 – 18-Nov-2020


32 datapools included

8438 lines

From: 27-oct-2020 18:00 (CET)

To: 18-nov-2020 08:00 (CET)

This dataset is powered by Etherscan.io APIs

Table 1: Activity and Liquidity
same as above, no changes

Report 1: Charts per datapool
same as above, no changes

Version 1.1 – 14-Dec-2020


44 datapools included

25,276 lines

48,2 MB (zip)

From: 27-oct-2020 18:00 (CET)

To: 14-dec-2020 12:00 (CET)

This dataset is powered by Etherscan.io APIs

Table 1: Activity and Liquidity (Hr)
same as above, no changes

Table 2: Activity and Liquidity (Daily)
similar table, aggregated per pool + day

Table 3: User totals (per eth Addr)
Different pools, Tx in/out, Ocean in/out, Datatokens in/out.

Report 1: Charts overview

  • Bar-Chart: Average Ocean transaction size
  • Bar-Chart: Average Datatoken transaction size
  • Scatter-Chart: Distribution of Datapools: $Ocean Tx vs Datatoken Tx

Also: a separate PDF with last week and last full month

Report 2: Charts per datapool

  • Table: totals for this datapool
  • Table: averages for this datapool
  • Bar-chart: Transactions (Ocean, Datatoken, unique users)
  • Bar-chart: Datatoken transactions (grouped per size)
  • Scatter: User transactions (Ocean and Datatoken)
  • Scatter: User liquidity (Ocean In) vs Profit
Version 1.2 – 8-apr-2021


118 datapools included in the CSV tables and generic PDF report. 63 selected datapools have a dedicated PDF report.

41,640 lines

113 MB (zip)

From: 27-oct-2020 18:00 (CET)

To: 8-apr-2021 16:00 (CET)

This dataset is powered by Etherscan.io APIs

Table 1: Activity and Liquidity (Hr)
same as above, no changes

Table 2: Activity and Liquidity (Daily)
similar table, aggregated per pool + day

Table 3: User totals (per eth Addr)
Different pools, Tx in/out, Ocean in/out, Datatokens in/out, Stakes, Trades, Buys, First/Last active.

Table 4: Transactions
All datapool transactions, including the pool owner’s transaction to get the ‘mint’ and ‘consume’ transaction types.

Report 1: Charts overview

  • Bar-Chart: Transactions and Users per day
  • Scatter-Chart: Distribution of Datapools: $Ocean Tx vs Datatoken Tx
  • Table: different metrics per datapool
  • Bar-Chart: Top20 pools based on transactions
  • Bar-Chart: Top20 pools based on $ocean liquidity
  • Bar-Chart: Average Ocean transaction size
  • Bar-Chart: Average Datatoken transaction size

Also: a separate PDF with last week and last full month

Report 2: Charts per datapool

  • Table: totals for this datapool
  • Table: pool owner metrics
  • Bar-chart: Transactions per type (per date)
  • Bar-chart: $ocean liquidity in/out (per date)
  • Bar-chart: $ocean transaction per date (grouped per type)
  • Scatter: User transactions (Ocean and Datatoken)
  • Table: Users involved (top 40 based on $ocean volume)

Note: pool-specific report is available for a selection of relevant/active pools

We’ll let you know on Twitter when datasets are updated!

Table 1: Activity and Liquidity
> …

Report 1: Charts per datapool
> …

Information is never done. So is this dataset. Here are some things that we hope to add in the future.

  • Automated chart process allowing for more frequent updates
  • Activity and Liquidity per user
  • Dynamic price trends per dataset
  • Higher-level aggregated tables (4 hrs, 1-day)
  • Lower-level aggregated tables (10-minutes, 1-minute)
  • Dataset performance benchmark

SuggestionsboxIdeas are welcome

We have brainwaves and ideas on what could be next, but please feel free to help us with awesome stuff we might include in next releases.

Email suggestions to: data@<ourdomain>
Or message us on Twitter



Data Marketplaces with Blockchain Superpowers

What is Ocean Marketplace?

Use Ocean Market to publish data, stake on data (curate), and buy data. Earn by selling, staking, or running your own fork of Ocean Market. Data has automatic price discovery. Data is published as interoperable ERC20 datatokens. Compute-to-data enables private data to be bought & sold. It’s a decentralized exchange (DEX), tuned for data.

Ocean aims to unlock data, for more equitable outcomes for users of data, using a thoughtful application of both technology and governance.

“Society is becoming increasingly reliant on data, especially with the advent of AI. However, a small handful of organizations with both massive data assets and AI capabilities attained worrying levels of control which is a danger to a free and open society.”


Ocean-powered data marketsIt's all pretty high-tech you know

Combine the building blocks of ERC20 datatokens, OCEAN-datatoken AMM pools, and Compute-to-Data for earning opportunities, automated price discovery, interoperability, privacy, and more.

Data PublishersThose who own valuable data, are at play

Monetize your data, while preserving privacy and control.

Data ConsumersIf you could shop for data, what would you buy?

Buy data that you couldn’t get before: private data.

More information on Ocean MarketplaceRead more on how it works.



Our vision is to create a community, bring together people and foster discussions around blockchain.

We “bridge”​ people in blockchain tech, cryptocurrencies, socially and in business to create a room for discussions and sharing.

Our blockchain think tank is based in Eindhoven, the Netherlands. We are open for collaboration and always looking for interesting projects and speakers.

Contact Info

In case of questions or suggestions, please reach out to one of the team members via LinkedIn or email directly to info@<ourdomain>


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