FT PARTNERS RESEARCH
Breakdown of Digital Asset Data Types (cont.)
12
Blockchain Data
What Can You Extract from
Blockchains?
Example Use Cases of Blockchain
Data Technological Challenges (1)
Mempool Data
Blockchain data provides both aggregate
and granular activity data across an entire
economic ecosystem in near-real time. At
a foundational level, this represents a
significant departure from existing payment
and transactions structures, which exist
largely within segregated or opaque
interaction channels. While many more use
cases may develop in the future, current
data extraction supports a number of
mission-critical use cases for those
interacting with the blockchain economy.
Wallet Addresses & Activity – unique
alphanumeric codes used to identify and
represent digital wallets, enabling users to
send, receive and store cryptocurrencies,
the activity and content of which are publicly
visible on the blockchain.
Miner & Validator Fees – fees and rewards
paid to the entities that prioritize and
process transactions on a network,
maintaining the security and stability of the
blockchain network.
Smart Contract Code – specific functions
that are performed by self-executing
contracts, written as code, on a blockchain,
and the events that are triggered by on-
chain activity.
Ecosystem / User Activity – blockchain
data supplies useful information to gauge
the transaction and user activity within a
specific ecosystem.
Due Diligence – retail and professional
investors alike leverage blockchain data to
holistically understand the financial
opportunities and risks associated with
investments in certain tokens.
Investigations – law enforcement and
specialized companies utilize blockchain
data to ensure compliance with AML / KYC
laws, CFT mandates and investigate
suspected fraud.
Scale of Data Sources – due to constantly
changing and unique APIs of each
blockchain, exchange, and smart contract,
companies require specific expertise in
protocols to effectively navigate and utilize
them.
Lack of Standardization – each blockchain
has distinct specifications, necessitating a
deep understanding to effectively establish
nodes and gather essential data.
Complex Data Processing – once obtained,
raw blockchain data requires substantial
preprocessing to transform it into
actionable information that can inform
decision-making processes.
Mempool Data – unconfirmed transactions
that are currently waiting to be included in a
block and added to the blockchain sit in what
is broadly known as a mempool, although the
exact name varies by protocol.
Mempool Data provides insights into the
network congestion and transaction backlog
within a blockchain – Users and miners
historically made informed decisions
regarding up-to-date asset pricing and
transaction fees, prioritized transactions, and
gauged the overall health of the network.
Changing Mempool Dynamics – As chains
finalize blocks faster than ever, the
fragmentation introduced by proposers,
producers and relay networks are diminishing
the value of pending transactions in the
mempool.
Sources:
1) Amberdata